Freelancers using FastAPI in Ahmedabad

Freelancers using FastAPI in AhmedabadFreelancers using FastAPI in Ahmedabad

Projects People

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.

0

113

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.

5

3

354

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.

0

144

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.

0

147

Ahmedabad, India

Building Scalable Software That Solves Real Business Problem

5.0: Rating

2: Followers

Building Scalable Software That Solves Real Business Problem

Cover image for I designed and built Pristine's

I designed and built Pristine's entire digital operations platform, from database architecture and role-based workflows to a production-deployed web suite and an AI analytics layer. The challenge was replacing a ceramic processing plant's paper-and-spreadsheet production logs with a system that floor operators would actually use, while giving management the traceability and insight the paper trail never could. Every decision focused on data integrity, least-privilege security, and keeping the interface simple enough for shift operators to work quickly. I built four services around a single PostgreSQL schema. The operator app handles the full production lifecycle: raw material intake, drying plant shifts, multi-section ball mill batch entry, quality control, and finished-goods inventory, with Excel export throughout and navigation that adapts to each of eight distinct plant roles. A modular Express and Prisma API enforces that access control at the route level. A separate React-Admin console keeps master data (mills, grades, recipes, suppliers, users) out of the operator's way. The most important piece was traceability. I designed a quality control gate that sits between production output and inventory. QC records are created automatically when a batch completes, reviewed by an inspector, and only generate an inventory entry if quality passes. Every finished bag carries an auto-derived lot number encoding its production date, flow rate, monthly sequence, and bag count, so any outbound shipment can be traced back through inventory and QC to the exact mill batch that produced it. On top of that I built an AI analytics agent that lets managers query the plant in plain English, architected around a zero-data-to-LLM guarantee. The model only ever sees the database schema and the question, never a row of production data. Five independent layers enforce it: two least-privilege Postgres roles separating read-only queries from insert-only auditing, a sqlglot AST guard that rejects any non-SELECT statement, a per-role table allowlist, the prompt design itself, and a full audit log of every interaction. Answers stream to the browser over Server-Sent Events through a LangGraph pipeline that routes, guards, plans the query, executes, then explains the result in business terms. Tech Stack: React 19, TypeScript, Ant Design, TanStack Query, Tailwind CSS v4, Node.js, Express, Prisma, PostgreSQL, React-Admin, MUI, Python 3.12, FastAPI, LangGraph, OpenAI, AWS EC2, Nginx, Supabase, Vercel.

1

111

Cover image for I designed and built the

I designed and built the Pristine Admin console, the back-office application that controls all master data behind a manufacturing plant's production system. The challenge was that master data in a factory setting is unforgiving. A mistyped grade name or a deleted material silently breaks months of historical production records, so the panel had to make the right action easy and the destructive action impossible. I built it as a deliberately constrained interface: records can be deactivated but never deleted, every write is validated on both sides, and access is restricted to admin roles at the authentication layer rather than just hidden in the UI. The console manages seven resources across the plant: ball mills, ball mill grades, raw material grades, materials, suppliers, users, and raw material recipes. The recipe builder was the most interesting piece. Each raw material grade needs a formula defining how many kilograms of each material go into one batch, so I built a nested form that pulls live material options, enforces a single recipe per grade by filtering out grades already configured, and validates quantities inline. Because the backend keys recipes by grade rather than by their own ID, I mapped the resource identity in the data layer so the standard list, create, and edit flows work transparently over a non-standard endpoint shape. Most of the engineering went into the data provider. The existing API returns enveloped responses and full collections rather than paginated ones, so instead of reshaping a working production API I wrote a provider that adapts to it: a client-side query engine handling full-text search, boolean filtering, multi-field sorting, and pagination, plus a per-resource field allowlist that strips any key the backend validators would reject before a request goes out. Delete operations throw by design, pointing the user to deactivation instead. Authentication runs through the same JWT service as the operator app, but the console rejects any account without an admin role at login and re-verifies that on every route change, clearing the session automatically on a 401 or 403. I finished it with a custom MUI theme and layout: an indigo and teal palette, a gradient-washed background, softened surfaces and radii, and a collapsible sidebar reworked to show clean centered icons rather than clipped labels when narrowed. Tech Stack: React 19, TypeScript, React-Admin 5, MUI 7, Tailwind CSS v4, Vite, Vercel.

0

41

Cover image for I worked as a Software

I worked as a Software Engineer on DripShop, a large-scale live-streaming e-commerce platform that enables creators and businesses to sell products through interactive live video experiences. My work focused on building production-ready features that supported high-traffic user journeys while maintaining performance, reliability, and a seamless shopping experience. The platform combines live video, real-time user interactions, payments, inventory management, and order processing into a single experience. My responsibility was to translate complex product requirements into scalable, maintainable frontend and full-stack solutions, collaborating closely with designers, backend engineers, product managers, and QA throughout the development lifecycle. I contributed to the development of customer-facing experiences across the platform, building reusable React and Next.js components, integrating backend APIs, implementing responsive interfaces, and improving application performance. Alongside feature development, I resolved production issues, optimized existing workflows, and helped ensure new releases met high standards for usability and reliability. Working on a product used by thousands of shoppers required careful attention to performance, state management, and code quality. I participated in code reviews, collaborated on architectural decisions, and followed modern engineering practices to keep the application scalable and maintainable as new features were introduced. This project strengthened my experience building production-scale web applications, working within a large collaborative engineering team, and delivering features that directly impacted real users and business outcomes. Tech Stack: React, Next.js, TypeScript, Node.js, GraphQL, REST APIs, Tailwind CSS, Git, GitHub Actions, Vercel, Agile Development.

0

55

Cover image for I designed and built ApexSutra's

I designed and built ApexSutra's entire digital presence—from branding and design system to a production-ready website. The challenge was to create a website that demonstrates engineering quality rather than relying on generic marketing. Every decision focused on performance, scalability, maintainability, and user experience. I developed a reusable design system powered by Tailwind CSS v4, with design tokens for colors, typography, spacing, and motion. The website is fully data-driven, allowing new services and industries to be added through typed content files that automatically generate pages, SEO metadata, sitemap entries, and search integration. SEO is built into the architecture with structured data, Open Graph metadata, and an auto-generated sitemap, ensuring content and search optimization always stay in sync. Performance was equally important, using CSS-first animations, server-rendered content, and accessibility features like reduced-motion support. Tech Stack: Next.js 16, React 19, TypeScript, Tailwind CSS v4, Vercel.

0

79

Ahmedabad, India

Data Alchemist: Mess → ML/NLP Gold. 6+ Yrs Python.

New to Contra

Data Alchemist: Mess → ML/NLP Gold. 6+ Yrs Python.

Cover image for Named Entity Recognition API Development

Named Entity Recognition API Development

0

4

Cover image for Summary of the work I've

Summary of the work I've done in Data Science / ML

0

30

Cover image for Image Similarity Search System Development

Image Similarity Search System Development

0

4

Cover image for Hybrid Recommender System Development

Hybrid Recommender System Development

0

5

Ahmedabad, India

I build cinematic websites and AI-powered web application

10: Followers

I build cinematic websites and AI-powered web application

Cover image for 🚀 Built Deploy Doctor for

🚀 Built Deploy Doctor for the Zerops Challenge. Deploy Doctor analyzes GitHub repositories, detects the technology stack, identifies deployment risks, and generates a Zerops-ready configuration automatically. The goal is to help developers reduce deployment errors and move from repository to production with confidence. Key Features: • Repository Analysis • Stack Detection • Deployment Risk Assessment • Automated Zerops Configuration Generation • Deployment Readiness Reports

8

532

Cover image for My Portfolio

1

8

684

Cover image for Another productive day — this time showcasing my Hand Gestur...

Another productive day — this time showcasing my Hand Gesture Mouse Control project. A Python-based computer vision project that lets you control your computer mouse using hand gestures in real time. 👆 Index finger → Move the cursor 👌 Pinch index + middle finger → Click Built using OpenCV, MediaPipe, NumPy, and AutoPy, with real-time hand landmark detection and gesture tracking. Project: https://github.com/darshan3187/HAND-GESTURE-PROJECT.git

2

7

941

Cover image for Mahashivratri – Interactive 3D Spiritual

Mahashivratri – Interactive 3D Spiritual Web Experience ✨ I recently built an interactive 3D web experience inspired by the spirit of Mahashivratri and the journey of the 12 Jyotirlingas. The project focuses on combining modern web technologies with visual storytelling to create an immersive digital experience. It features a dynamic 3D cosmic background, smooth UI animations, glassmorphism design, and a fully responsive layout. The goal was to explore how interactive visuals and modern UI can make web experiences more engaging. Built using React, Three.js, JavaScript, Tailwind CSS, and Framer Motion, this project highlights my ability to create visually rich, modern, and performance-optimized websites.

9

1.1K

Ahmedabad, India

Software Engineer building AI automation & security platform

New to Contra

Software Engineer building AI automation & security platform

Cover image for Click2Fix SOC Operations

Click2Fix SOC Operations

0

2

Cover image for Click2Fix – Cybersecurity Operations &

Click2Fix – Cybersecurity Operations & Response Platform

0

39

Cover image for Privora

0

2

Cover image for Development of Ravynel NDR Product

Development of Ravynel NDR Product

0

2