Freelancers using FastAPI in India

Freelancers using FastAPI in IndiaFreelancers using FastAPI in India

Projects People

Mehul Sethia | Senseibles

Design, Build, AI, Automation

$50k+: Earned

19x: Hired

5.0: Rating

72: Followers

Design, Build, AI, Automation

Cover image for Web Design and API Integration

Web Design and API Integration

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Cover image for Tempies / LevMaps | Social

Tempies / LevMaps | Social Pet Walking, Discovery & Location App Flutter • Firebase • Shopify • Google Maps • iOS & Android Built a full-featured cross-platform mobile app that brings pet discovery, real-world exploration, social interaction, and commerce into one experience. Tempies / LevMaps lets pet owners discover nearby pets and places, connect with the community, track walks and journeys in real time, and access an integrated shopping experience, all from a single mobile app. I worked across the complete product lifecycle, from application architecture and complex mobile interactions to backend integrations and production deployment across iOS and Android. The app includes real-time GPS tracking and route visualization, interactive maps, user and pet profiles, social feeds, authentication, media and data management, and a Shopify-powered commerce layer. Firebase powers authentication, application services, analytics, performance monitoring, and crash reporting, while the mobile experience is built in Flutter for a consistent native experience across platforms. One of the more technically interesting parts was building the location experience beyond a basic map integration. The app handles live movement tracking, route plotting, distance calculation, journey state, and location permissions, including the additional native considerations required when tracking continues outside the foreground app experience. What we built: Cross-platform iOS + Android app • Real-time GPS & journey tracking • Interactive maps & route visualization • Social/community experience • Pet & user profiles • Authentication • Shopify commerce integration • Firebase backend & services • Crashlytics & performance monitoring • Native mobile permissions & integrations • TestFlight & Google Play deployment Tech stack: Flutter, Firebase, Shopify, Google Maps APIs, native iOS/Android integrations From product UI to real-time location infrastructure to App Store deployment, this was a proper end-to-end mobile build rather than a dressed-up web app in a mobile shell. Built for the real world. Literally. http://levmaps.com./

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Cover image for Lawn & Looms - 3D

Lawn & Looms - 3D Webflow Site with GSAP Motion An interactive Webflow build for a Pakistani textile brand, using GSAP for scroll-driven animation and 3D visual transitions across the site. Lawn & Looms is a Pakistani lawn fabric brand built around in-house ink production and digital textile printing. The brief was to make that craft process feel physical and premium online, not just list products on a template. I built the site in Webflow with GSAP handling the motion layer: scroll-triggered reveals, layered 3D transitions between sections, and staggered content animation as the ink-to-fabric story unfolds down the page. The "from a drop of ink to a length of lawn" section is the centerpiece, three process stages (ink, print, fabric) that animate in sequence as the user scrolls, rather than sitting as static copy blocks. The site also had to work as a real commerce funnel, not just a brand showcase, so it connects into a separate Shopify storefront for checkout while keeping the CMS-driven collection previews, exhibition updates, and certifications (GOTS, ISO 9001/14001/45001) manageable without touching code. Performance was the main constraint working against the animation. Getting GSAP's ScrollTrigger to stay smooth on mobile while still running layered 3D transforms took real tuning, not just dropping in the library and calling it done. Tools: Webflow, GSAP (ScrollTrigger), Webflow CMS, Shopify integration.

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Cover image for MaidHive Two-Sided Home Cleaning Marketplace Development

MaidHive Two-Sided Home Cleaning Marketplace Development

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Rongali Chaitanya

proBengaluru, India

Full-stack developer & product designer | AI workflows

12: Followers

Full-stack developer & product designer | AI workflows

Cover image for ClientDesk: White-Label Client Delivery Portal

ClientDesk: White-Label Client Delivery Portal

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Cover image for ReviewDesk: Customer Feedback and Testimonial System

ReviewDesk: Customer Feedback and Testimonial System

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Cover image for FollowDesk: Automated Lead Follow-Up and Booking CRM

FollowDesk: Automated Lead Follow-Up and Booking CRM

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Cover image for LeadDesk AI: White-Label Chatbot and Lead Capture

LeadDesk AI: White-Label Chatbot and Lead Capture

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Ahmedabad, India

Full Stack AI Engineer |AI Agents| Generative AI |Automation

Full Stack AI Engineer |AI Agents| Generative AI |Automation

Cover image for Developed an AI-powered Technical Interviewer

Developed an AI-powered Technical Interviewer using Tavus avatars for realistic, human-like interactions. I integrated LiveKit for video room management and agent handling, while building a FastAPI backend to handle session creation, tokens, and interview orchestration. I also worked with STT (Deepgram), TTS (Cartesia), LLMs (OpenAI/Groq), and custom voice pipelines to enable seamless real-time conversations.

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Cover image for Developed an AI-powered Marketing Campaign

Developed an AI-powered Marketing Campaign Automation platform that helps businesses create, manage, and optimize marketing campaigns across multiple channels with minimal manual effort. The solution leverages Generative AI and conversational AI to streamline campaign planning, content generation, audience targeting, and performance analysis. The platform enables marketing teams to launch campaigns faster while improving engagement and conversion rates. Inspired by modern AI-driven marketing approaches that automate campaign workflows and personalized customer interactions.

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Cover image for Designed and developed a bilingual

Designed and developed a bilingual (English/Arabic) real-time AI Voice and Chat Agent for ILAF Insurance to automate motor accident claim reporting and document intake (POC: https://ilaf-frontend.vercel.app). Built a low-latency WebRTC voice pipeline using LiveKit Agents, OpenAI Realtime API, Silero VAD, and Deepgram. Developed an asynchronous FastAPI backend with automated Civil ID policy verification, garage assignment, multi-document uploads (Police reports, licenses, damage photos), and automated email notifications, paired with a modern React 19 frontend.

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Cover image for Solara AI is an end-to-end

Solara AI is an end-to-end voicebot and web chatbot for dental practices (Live Demo: https://solara.supermia.ai/). Built using LiveKit SIP, OpenAI GPT-4o, ElevenLabs, and FastAPI, it handles inbound/outbound phone calls and website chat. It answers patient queries, checks real-time calendar availability, and books appointments on Google Calendar. Featuring noise cancellation and WebSockets, it provides sub-second voice latency and natural conversation flows to automate dental clinic scheduling 24/7.

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Full Stack & AI Engineer | Python, React & LLMs

New to Contra

Full Stack & AI Engineer | Python, React & LLMs

Cover image for Autonomous AI CRM & Revenue

Autonomous AI CRM & Revenue Intelligence Platform Built an enterprise-grade AI-powered CRM and Revenue Intelligence SaaS platform featuring autonomous prospecting, predictive deal analytics, and automated SDR workflows. Core Architectural Modules: • AI Prospector (Autonomous Lead Discovery): Real-time map discovery (Google Places/OpenStreetMap) and automated web enrichment with LLM fit scoring (1-10) and custom pitch generation. • Shadow SDR: Asynchronous cold outreach email draft generator powered by FastAPI BackgroundTasks and local/cloud LLM chaining (Ollama/Groq/Gemini). • Dynamic CRM Pipeline: Drag-and-drop Kanban board (@dnd-kit) with strict phone deduplication, server-side pagination, and one-click lead-to-sale transitions. • Predictive Revenue Engine: Scikit-Learn regression models for deal win-probability and cash flow forecasting. • Conversational Sales Assistant: Integrated floating AI chatbot for natural-language pipeline queries and call log summarization. Tech Stack: • Backend: Python (FastAPI), SQLAlchemy (Async), PostgreSQL 15, Redis, Alembic, Docker • Frontend: React 18, TypeScript, Vite, TailwindCSS, Shadcn UI, Zustand, TanStack Query v5 • Machine Learning & AI: Scikit-Learn, LangChain, Groq, Gemini, Ollama

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Cover image for Just launched a turnkey AI

Just launched a turnkey AI Media Intelligence & Growth Operating System for creator agencies, growth teams, and founders. Most creator tools are either generic ChatGPT wrappers or lock you into expensive monthly seats with API markups. I built an end-to-end media OS that gives you full ownership: 🚀 Core Modules: • Deep Channel Audit: Automated diagnostics on hook retention, traffic leaks, and metadata flaws on any public or connected YouTube channel. • 30-Day Growth Roadmap: AI-powered, data-backed content cadence, video outlines, and hook frameworks. • Multi-Channel Sync: YouTube & Instagram analytics aggregation in one workspace. • BYOK Architecture: Bring-Your-Own-Key LLM integration (OpenAI/Anthropic/Gemini) with zero platform markup. • Complete Workspace: Script pipeline, blog repurposing, and LinkedIn post generation. 📦 What’s included in the Turnkey Setup: Full commercial source code license (React UI + FastAPI backend). Hands-on cloud deployment to your server (VPS/AWS). OAuth & API keys configuration. 1-on-1 architecture walkthrough call. Check out the full service offering and book a 15-min live demo walkthrough here: https://contra.com/s/L2UlZFvm-turnkey-ai-media-os-and-you-tube-audit-system-custom-setup

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Cover image for Built an end-to-end AI-powered Content

Built an end-to-end AI-powered Content Planner and YouTube and Instagram Analytics platform designed to automate channel audits and streamline production workflows. Key Highlights: • Automated Channel Auditing: Evaluates video performance, pacing, and retention drivers. • AI Content Strategy: Generates data-backed content outlines, hooks, and topic clusters. • Real-time Analytics Dashboard: Aggregates core YouTube performance metrics to deliver actionable publishing insights. Tech Stack: Python, FastAPI, React, AI/LLM integrations, TailwindCSS.

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Cover image for Multimodal Video SEO & Content

Multimodal Video SEO & Content Intelligence Engine Engineered an end-to-end, 100% offline Multimodal Video SEO & Strategy Intelligence system designed for high-volume content creators and media marketing agencies. Core Multimodal AI Pipeline: • Audio Intelligence (Whisper): Millisecond-precision speech-to-text, tone detection, cadence tracking, and keyword density analysis. • Computer Vision & Thumbnail Scorer (OpenCV + Vision LLMs): Semantic scene identification, on-screen text extraction, and predictive A/B thumbnail clickability scoring. • Strategic Logic & SEO Pack: Correlates audio and visual signals to compute weighted retention scores (Hook 35%, Keyword 25%, Visual 25%, Sentiment 15%) and automated metadata packages. • Competitor Benchmarking: Automated transcript gap analysis to identify underserved search demand and audience retention triggers. • Automated Client Reporting: Production-grade automated PDF audit generation with visual breakdown charts. Tech Stack: • Core: Python, FastAPI (Async Orchestration), OpenCV, FPDF2, SQLite • AI & Local Models: OpenAI Whisper, Gemma / Local LLMs via Ollama, TextBlob • Dashboard: Streamlit Analytical Interface

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AI Developer & Agentic AI Engineer

New to Contra

AI Developer & Agentic AI Engineer

Cover image for DocFlow AI – Intelligent Document

DocFlow AI – Intelligent Document Processing Platform DocFlow AI is an enterprise document intelligence platform that transforms unstructured documents into searchable, actionable knowledge. The platform automatically extracts information from PDFs, Word files, invoices, contracts, and reports, builds a searchable knowledge base, and enables users to interact with their documents through an AI assistant using Retrieval-Augmented Generation. It combines OCR, structured extraction, RAG, AI agents, and workflow automation to simplify document-heavy business operations. Features: PDF Processing OCR Pipeline RAG AI Chat with Documents Entity Extraction Document Classification Knowledge Base Citation Generation Role-based Access FastAPI Backend Tech Stack: Python FastAPI LangGraph LangChain ChromaDB PostgreSQL Docker Redis OpenAI OCR

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Cover image for ResearchX – Autonomous Deep Research

ResearchX – Autonomous Deep Research AI Agent ResearchX is a production-ready autonomous research agent that performs end-to-end research with minimal human input. Instead of simply answering questions, the agent plans research tasks, searches multiple trusted sources, evaluates information quality, retrieves supporting evidence, and generates structured reports with citations. Built using a multi-agent architecture, the system combines planning, retrieval, tool calling, memory, and iterative reasoning to handle complex research tasks while reducing hallucinations through grounded retrieval and verification. Features: Autonomous Planning Multi-Agent Workflow Web Search Integration PDF Analysis RAG Pipeline Citation Generation Long-Term Memory Report Generation Source Verification Evaluation Framework Tech Stack: Python • LangGraph • FastAPI • Tavily • ChromaDB • PostgreSQL • Redis • Docker • OpenAI • Claude

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Cover image for Scopio – Multi-Agent AI Sales

Scopio – Multi-Agent AI Sales Automation Platform Scopio is a production-ready multi-agent AI platform designed to automate B2B sales and lead generation. The platform coordinates multiple AI agents to perform end-to-end sales workflows: Discover potential businesses from multiple sources Research company websites and public information Analyze business context using LLMs Generate personalized outreach emails Manage follow-up workflows automatically Maintain conversation history and workflow state I designed the agent architecture using LangGraph, enabling planning, tool calling, memory, and multi-step execution while integrating external APIs and backend services for reliable automation. Key Features Multi-Agent Architecture Autonomous Business Research AI-Powered Personalized Outreach Tool Calling & API Integration Workflow Orchestration Long-Term Memory PostgreSQL & Redis Integration Dockerized Deployment FastAPI Backend Tech Stack Python • LangGraph • LangChain • FastAPI • PostgreSQL • Redis • Docker • OpenAI • MCP • REST APIs

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Cover image for I designed and developed a

I designed and developed a cinematic 3D interactive website concept created to turn a couple’s memories into an immersive digital experience. Instead of presenting photos in a traditional gallery, the experience transforms them into a visual journey — combining 2.5D photo depth, floating memories, particle effects, constellation-style visuals, animated transitions, ambient sound, and a cinematic storytelling flow. What I built • Premium cinematic UI/UX • Interactive 3D / 2.5D photo experiences • Depth-based photo animations • Particle and floating-memory effects • Animated timeline and counters • Interactive storytelling sections • Ambient audio experience • Responsive design • Performance-conscious Three.js implementation • Next.js-based architecture The concept A couple can turn their favorite moments — trips, dates, proposals, weddings, anniversaries, and everyday memories — into a personalized interactive experience instead of another ordinary photo album. This concept can also be adapted into a premium product for anniversaries, weddings, proposals, Valentine's Day, birthdays, and special occasions. Tech Stack Next.js • React • TypeScript • Three.js • WebGL • CSS I'm available to build similar premium interactive websites, 3D experiences, landing pages, and personalized digital experiences for brands, businesses, creators, and special occasions. #WebDevelopment #WebDesign #ThreeJS #3DWeb #InteractiveWeb #CreativeDevelopment #3DWebsite #ImmersiveWeb #CinematicWeb #MotionDesign #NextJS #ReactJS #WebGL #CreativeCoding #DigitalExperience

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Algo Trading Developer - Pine Script,MQL5 &Python Automation

45: Followers

Algo Trading Developer - Pine Script,MQL5 &Python Automation

Cover image for Designed and implemented a robust

Designed and implemented a robust webhook-based trading automation system that connects TradingView signals to real-time trade execution via the Tradovate API. The system is built using Python and handles signal reception, validation, and order execution in a seamless automated pipeline. The architecture ensures low-latency communication, secure data handling, and reliable execution of trades without manual intervention. It processes incoming webhook alerts, applies validation logic, and triggers precise API-based trade execution. Key features include: • Real-time webhook signal processing (TradingView alerts) • Python-based signal receiver and validation engine • Secure and reliable API integration (Tradovate) • Low-latency execution pipeline • Fully automated trade workflow (zero manual input) • Scalable design for multi-strategy integration This solution is ideal for traders and firms looking to automate their strategies using webhook-driven architecture, enabling faster execution, reduced human error, and consistent performance in live trading environments.

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Cover image for Developed an automated options trading

Developed an automated options trading bot using Python that executes trades on Deriv based on real-time strategy signals and multi-condition validation logic. The system is designed to operate continuously with minimal latency, ensuring fast and accurate trade execution in volatile market conditions. The bot integrates signal generation, validation, and execution into a single automated workflow. It evaluates multiple technical indicators, applies strict entry conditions, and triggers trades only when high-probability setups are detected. Key features include: • Fully automated options trading (Deriv API integration) • Real-time signal processing and execution • Multi-indicator validation logic for higher accuracy • Risk management controls and trade filtering • Continuous operation with minimal manual oversight • Scalable architecture for strategy customization This solution enables traders to automate their options trading strategies end-to-end, improving consistency, speed, and discipline while eliminating emotional decision-making.

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Cover image for Developed a fully automated trading

Developed a fully automated trading system for MetaTrader 5 (MT5) that executes trades based on validated multi-indicator signals. The system integrates TradingView-generated signals with a Python-based processing engine, which evaluates multiple technical conditions before triggering precise trade execution. The Expert Advisor (EA) is designed with advanced trade logic, risk management, and real-time execution capabilities. It ensures consistent performance by removing emotional decision-making and strictly following predefined rules. Key features include: • Automated trade execution on MT5 (buy/sell orders) • Integration with external signal sources (TradingView via webhook) • Multi-indicator validation (RSI, EMA, ADX, Volume, etc.) • Built-in risk management (lot sizing, SL/TP control) • Real-time processing with minimal latency • Fully customizable strategy logic This system enables traders to automate their strategies end-to-end — from signal generation to execution — ensuring speed, accuracy, and consistency in live market conditions.

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Cover image for Engineered a high-performance Python-based trading

Engineered a high-performance Python-based trading signal engine designed to generate precise and reliable trade signals using multi-indicator confluence logic. The system evaluates over 12 technical indicators including RSI, EMA, ADX, Volume, and trend-based conditions to identify strong market opportunities while effectively filtering out noise and false signals. The architecture is built to process real-time market data, validate multiple conditions simultaneously, and trigger only high-probability trade setups. This significantly improves signal accuracy and reduces unnecessary trades. Key capabilities include: • Multi-indicator confluence engine (12+ conditions) • Real-time signal processing and validation • False signal reduction using layered logic • Scalable architecture for integration with trading APIs • Seamless compatibility with automated execution systems (webhooks, APIs) This system can be integrated with platforms like TradingView, Tradovate, or custom trading environments to enable fully automated trading workflows — from signal generation to execution. Designed for traders and firms looking to achieve consistent, rule-based, and emotion-free trading through intelligent automation.

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FastAPI, AI & RAG Engineer helping startups ship faster

New to Contra

FastAPI, AI & RAG Engineer helping startups ship faster

Cover image for Shadow Watch — Behavioral Intelligence

Shadow Watch — Behavioral Intelligence & Account Security Platform Description Shadow Watch is a behavioral intelligence platform that continuously analyzes user interaction patterns to build behavioral profiles, detect anomalies, and strengthen account security without introducing friction to the user experience. Instead of relying solely on passwords or one-time verification checks, Shadow Watch observes behavioral continuity over time to establish trust signals and identify potentially compromised sessions. The system combines behavioral fingerprinting, activity analysis, risk scoring, and anomaly detection to help organizations recognize suspicious account activity before it escalates into an account takeover event. Key Features Behavioral fingerprint generation User activity intelligence Trust score calculation Session anomaly detection Account takeover prevention Temporal behavior analysis Privacy-conscious architecture Tech Stack Python • FastAPI • PostgreSQL • Security Engineering • Behavioral Analytics • Risk Scoring

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Cover image for Quant Terminal is a portfolio

Quant Terminal is a portfolio analytics and asset management platform designed to help investors monitor holdings, analyse diversification, and evaluate portfolio allocation strategies. The platform provides a real-time view of portfolio performance while offering allocation analysis across multiple asset classes including equities, commodities, cryptocurrencies, and foreign exchange markets. Key Features: • Portfolio holdings dashboard • Real-time P&L monitoring • Diversification analysis • Portfolio drift detection • Strategy-based portfolio views • Asset allocation management • CSV export functionality • Interactive desktop interface Tech Stack: Python, Data Analytics, Portfolio Modelling, Financial Data Processing, Desktop Application Development Role: Sole Developer and System Designer Outcome: Built a functional portfolio management terminal capable of tracking holdings, visualising allocation drift, and supporting portfolio rebalancing decisions through quantitative analysis.

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Cover image for Anchor is an AI governance

Anchor is an AI governance platform designed to provide deterministic policy enforcement for AI systems and autonomous agents. The platform focuses on a critical problem facing enterprises adopting AI: ensuring that model-driven decisions remain explainable, auditable, and compliant with organizational policies. Key capabilities include: • Constitutional governance architecture • Policy-based execution controls • Deterministic decision validation • Replayable audit trails • Entity visibility and access governance • Runtime compliance verification • Governance observability and traceability The system is designed around the principle that governance decisions should be independently verifiable rather than dependent on opaque model behaviour. Tech Stack: Python, FastAPI, PostgreSQL, Docker, JWT Authentication, Audit Logging, Governance Engine Design Role: Founder, System Architect, Backend Engineer Project Links: Website: https://www.animuslab.dev (https://www.animuslab.dev)GitHub: https://github.com/AnimusLab/Anchor Research: https://zenodo.org/records/19734724

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Cover image for Grid CLI is a terminal-first

Grid CLI is a terminal-first developer platform designed to streamline repository management, project automation, diagnostics, and AI-assisted workflows through a unified command interface. Built around a custom shell architecture, Grid CLI enables developers to initialize projects, audit repositories, execute automated tasks, manage environments, and interact with AI-powered development tooling without leaving the terminal. The project focuses heavily on developer experience, modular command design, extensibility, and productivity automation. Key Features Custom interactive shell Repository diagnostics and auditing Project initialization workflows Automation and task execution Modular command architecture AI-assisted developer operations Cross-project workspace management Tech Stack Python • CLI Engineering • Automation • Git • Developer Tooling • Terminal UI

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AKASH VASHISHTHA

proDelhi, India

Versatile Fullstack Engineer | Web & Mobile Expert

$50k+: Earned

5x: Hired

5.0: Rating

118: Followers

Top

Versatile Fullstack Engineer | Web & Mobile Expert

Cover image for PriceRipper - Price Comparison Website

PriceRipper - Price Comparison Website

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Cover image for Realm - Social Media Platform for Music Producers and Artists

Realm - Social Media Platform for Music Producers and Artists

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Cover image for TestBest | LSAT® Prep & Tutoring

TestBest | LSAT® Prep & Tutoring

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Cover image for Légacie Phase 1

Légacie Phase 1

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