Freelance AI Engineers in Sonipat

Freelance AI Engineers in SonipatFreelance AI Engineers in Sonipat

Projects People

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 Légacie Phase 1

Légacie Phase 1

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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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167

Cover image for AI Platform Stabilization and Enhancement for Kaie

AI Platform Stabilization and Enhancement for Kaie

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117

AI/ML engineer building production RAG & LLM agent systems —

New to Contra

AI/ML engineer building production RAG & LLM agent systems —

Cover image for Title: NEXUS AI — M&A

Title: NEXUS AI — M&A Intelligence Platform Description: Enterprise platform combining RAG, Neo4j knowledge graphs, and XGBoost ESG forecasting under a LangGraph agent. Built for PE due diligence. Image: same NEXUS AI screenshot from Upwork Link: private demo only

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Cover image for Title: ASPIRE — Automated ESG

Title: ASPIRE — Automated ESG Report Generator (GRI/TCFD) Description: Built a GenAI system that converts raw ESG CSV data into a fully structured GRI/TCFD-aligned sustainability report in ~30 seconds using LLaMA 3.3. The validation layer cross-checks every LLM-generated number against source data before it reaches the report, preventing hallucinated figures in a compliance document. Includes red-flag triggers for fatalities, data breaches, and high turnover that auto-apply GRI materiality language. 57/57 tests passing, deployed on Render, Streamlit Cloud, and AWS EC2.

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Cover image for Title: LEXINTEL — Autonomous M&A

Title: LEXINTEL — Autonomous M&A Due Diligence Accelerator Description:Built a 4-pass autonomous AI pipeline that ingests an entire M&A data room — PDFs, contracts, exhibits — and produces a structured legal report in under 2 minutes. Detects missing exhibits, extracts clauses across 9 legal categories, and catches cross-document contradictions like mismatched equity percentages automatically. Zero data retention, fully ephemeral processing. 0% failure rate in testing. Built with Groq LLaMA 3.3, FastAPI, Streamlit, deployed on AWS EC2.

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Cover image for Title: NEXUS AI — M&A

Title: NEXUS AI — M&A Intelligence Platform Description: Enterprise platform combining RAG, Neo4j knowledge graphs, and XGBoost ESG forecasting under a LangGraph agent. Built for PE due diligence. Image: same NEXUS AI screenshot from Upwork Link: private demo only

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developer

New to Contra

developer

Cover image for Shoplifting Detection System (Computer Vision)
The

Shoplifting Detection System (Computer Vision) The Shoplifting Detection System is an AI-powered surveillance solution designed to identify suspicious behavior in retail environments using computer vision and deep learning. The system analyzes real-time video from CCTV cameras to detect potential theft activities. It was trained on a dataset of 70,000+ images and uses a YOLO-based object detection model to recognize suspicious actions. When abnormal behavior is detected, the system triggers automated alerts and saves video clips for further review, improving retail security and loss prevention.

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Cover image for Signify - ISL
Signify is a

Signify - ISL Signify is a web-based AI system designed to translate Indian Sign Language (ISL) gestures into text and audio in real time, helping bridge communication gaps for people with hearing and speech impairments. The project uses computer vision and machine learning to detect hand gestures through a camera and convert them into understandable language. The system was trained on a dataset of over 260,000 gesture images, enabling accurate recognition of different ISL signs. The model processes live video input, identifies hand gestures, and instantly generates corresponding text and speech output. The platform also includes learning features such as quizzes and a sign dictionary, making it useful for both communication and educational purposes. The project focuses on real-time image processing, gesture recognition, and accessibility-driven AI solutions.

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Cover image for ✨ Welcome to Aurelia Pixie

✨ Welcome to Aurelia Pixie 🌸🖤 A creative fashion and aesthetic inspiration space where every post is designed with elegance, style, and personality. This project focuses on creating high-quality posters, fashion edits, moodboards, and trendy visual content that blends soft aesthetics with bold modern vibes. From dreamy outfits and Pinterest-inspired designs to aesthetic lifestyle visuals, every post is carefully crafted to inspire creativity and style lovers worldwide. ✨ Follow the journey of aesthetic storytelling through visuals, fashion inspiration, and beautifully designed content. Aurelia Pixie Website Pinterest: @aureliapixie01

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Cover image for Aureli Apixie (https://aureli-apixie.lovable.app) is a modern

Aureli Apixie (https://aureli-apixie.lovable.app) is a modern AI-powered web experience built using the Lovable platform, focused on sleek design, interactive user experience, and smart digital functionality. The site reflects a clean aesthetic with a futuristic and minimal interface, making it feel premium and visually engaging. It appears to combine: Elegant UI/UX styling Responsive web design AI-integrated workflow or automation features Smooth navigation and lightweight performance Startup-style branding with a modern creative feel The platform is likely built using Lovable AI, an AI website and app builder that allows creators to generate websites and apps through prompts and natural language. Lovable is known for helping users quickly build full-stack apps, landing pages, dashboards, and interactive tools without heavy coding knowledge. Overall, Aureli Apixie gives the vibe of: an AI startup landing page, a digital product showcase, or a futuristic creative-tech brand website. It uses a polished, soft-modern visual identity that fits current 2026 web design trends such as: glassmorphism, minimal luxury layouts, neutral palettes, AI-inspired branding, and immersive scrolling experiences.

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Pratyush Pushkar

Web Developer building beautiful and modern websites

Web Developer building beautiful and modern websites

Cover image for PDFHero Development

PDFHero Development

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Cover image for ParadoxGPT AI System

ParadoxGPT AI System

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Cover image for FormCraft Development Project

FormCraft Development Project

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proDelhi, India

Full Stack AI & Machine Learning Engineer

$5k+: Earned

1x: Hired

46: Followers

Expert

Mentor

Full Stack AI & Machine Learning Engineer

Cover image for It's finally here 🎬✨
Introducing Sniplyx

It's finally here 🎬✨ Introducing Sniplyx AI — your full AI video editor, not just another clipper. Upload your raw footage and let AI do the heavy lifting: ✂️ Auto viral clips 🎞️ AI B-roll 🎵 AI music & SFX 📝 Auto transcription 🌐 100% browser-based, nothing to install Built this because manual video editing was something I had to do myself but never really knew how to do well, and it took forever. So I built a tool that does the heavy lifting for me. Now it's all in one place, starting at just $2 🙌 Try it out here: https://www.sniplyxai.com

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Cover image for AI agent for project planning, estimation & resourcing

AI agent for project planning, estimation & resourcing

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Cover image for AI App to set and achieve your goals

AI App to set and achieve your goals

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8

Cover image for Menu Analyzer AI App

Menu Analyzer AI App

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12

Data Science AI ML Expert with Python Full Stack & Backend

14: Followers

Data Science AI ML Expert with Python Full Stack & Backend

Cover image for A multi-tenant architecture is a

A multi-tenant architecture is a software architecture where a single application instance serves multiple customers (tenants) while keeping each tenant's data and configuration isolated. Example Imagine a SaaS CRM platform: - Company A uses the CRM. - Company B uses the same CRM. - Company C uses the same CRM. All three companies share the same application, but: -> Their users only see their own data. -> Their settings, branding, and permissions can be different. -> The platform provider maintains only one codebase.

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Cover image for AI Chatbot Application Development

AI Chatbot Application Development

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948

Cover image for I offer AI, data science,

I offer AI, data science, analytics, software development, cloud computing, cybersecurity, and digital transformation services for startups and enterprises. My expertise includes machine learning, generative AI, big data analytics, business intelligence, web and mobile app development, IoT solutions, and enterprise automation. I also provide consulting, staffing, and industry-specific solutions for healthcare, finance, retail, insurance, energy, and supply chain businesses.

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Cover image for Title:
AI App Development |

Title: AI App Development | LLMs, Chatbots, RAG & Automation Solutions Description: I design and develop intelligent AI-powered applications that automate workflows, enhance user experience, and unlock actionable insights. From custom chatbots to advanced LLM-based systems, I build scalable and production-ready solutions tailored to your business needs. Whether you're a startup looking to integrate AI or an enterprise aiming to optimize operations, I deliver robust, efficient, and future-ready AI systems. What I Offer: ✔Custom AI applications using LLMs ✔Chatbot development (GPT, Claude, RAG-based) ✔AI workflow automation (N8N, Zapier, Make) ✔API integrations and backend systems ✔AI SaaS product development Tech Stack: Python, FastAPI, LangChain, OpenAI, Claude, Supabase, PostgreSQL, React, Next.js, AWS

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178

Jagwinder Singh

Full Stack Developer

23: Followers

Full Stack Developer

Cover image for AI Tattoo Generator App

AI Tattoo Generator App

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7

Cover image for Multi-Vendor E-Commerce Marketplace
Designed and developed

Multi-Vendor E-Commerce Marketplace Designed and developed a scalable multi-vendor e-commerce marketplace connecting customers, sellers, and administrators through a unified platform. Overview A modern marketplace platform built for multiple independent vendors, allowing sellers to manage products, inventory, orders, pricing, and fulfillment, while customers can discover products, compare options, purchase securely, and track their orders. Key Features - Multi-vendor seller registration and onboarding - Seller dashboards with products, inventory, orders, and sales - Advanced product catalog with categories, variants, attributes, and pricing - Powerful search, filtering, sorting, and product discovery - Product details, reviews, ratings, wishlist, and saved items - Shopping cart and secure checkout - Multiple payment methods and automated vendor payouts - Order management and real-time order status - Customer accounts, addresses, order history, and tracking - Vendor storefronts and profiles - Promotions, coupons, discounts, and featured products - Admin dashboard for users, vendors, products, orders, payments, and commissions - Vendor commission and revenue management - Responsive design across desktop, tablet, and mobile - Scalable architecture prepared for large product catalogs and growing traffic UX & Design The interface was designed around a clean, conversion-focused shopping experience inspired by leading marketplaces such as Amazon, eBay, Wayfair, etc. The focus was on intuitive navigation, fast product discovery, clear product information, frictionless checkout, and dedicated experiences for both buyers and sellers. Outcome Delivered a complete marketplace foundation designed to support multiple vendors, thousands of products, secure transactions, automated workflows, and scalable business operations.

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Cover image for AI Agent Tutor Mobile App
An

AI Agent Tutor Mobile App An AI personal tutor mobile application designed for learners of all ages, from students to professionals. The app provides personalized guidance, explanations, skill development, and interactive learning across multiple subjects and topics. Key Features: > AI tutor conversations for learning any topic > Personalized learning paths based on user goals and skill level > Support for academics, professional skills, coding, languages, and general knowledge > AI explanations, summaries, and concept breakdowns > Practice exercises, quizzes, and knowledge improvement tools > Voice and text-based learning interactions > Learning history and progress tracking > Adaptive AI responses based on user behavior Key Contributions: -- Developed a cross-platform mobile learning experience -- Integrated AI/LLM technology for real-time tutoring interactions -- Implemented secure authentication and data management -- Optimized performance and user experience across devices Outcome: Created an AI learning companion that enables users of all ages to learn, improve skills, and access personalized education anytime through a mobile-first experience.

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Cover image for Employee Productivity Monitoring System
Built a

Employee Productivity Monitoring System Built a web-based Employee Productivity Monitoring System designed to help organizations track work activity, improve accountability, and gain insights into team performance in real time. The system includes features such as activity tracking (keyboard/mouse usage metrics), application and website usage monitoring, task-wise time logging, and optional periodic screenshots for audit transparency. It provides role-based access for admins, managers, and employees with secure authentication and data segregation. A real-time dashboard aggregates productivity metrics into visual reports, showing active vs idle time, productivity scores, and weekly performance trends. Managers can assign tasks, set productivity benchmarks, and export reports for HR or compliance use. Focused on scalable backend architecture with efficient event logging, low-overhead tracking agents, and privacy-aware configuration controls to ensure compliance and minimal system impact.

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207

Websites & automations. AI-native workflow, design-led.

$5k+: Earned

20: Followers

Websites & automations. AI-native workflow, design-led.

Cover image for NanoMech: The Real-Time Multimodal AI

NanoMech: The Real-Time Multimodal AI Trading Assistant 📈🤖 Built for the Gemini Hackathon Traders know that in the market, seconds equal dollars. By the time you switch between your chart, your analysis tools, and your risk calculator, the candle has already moved, and your setup is gone. I wanted to fix this. For the Gemini Hackathon, I built NanoMech—an AI that sits on top of your screen, sees exactly what you see, and gives you a complete trade plan in seconds. No API keys required, and no leaving your chart. 💡 The Solution NanoMech runs as two frameless, transparent overlays on top of any trading platform. It uses Google Gemini 2.5 Flash's multimodal vision capabilities to visually read your screen and deliver instant insights. Overlay 1: Market Analysis Trend: Analyzes bullish/bearish market structure and moving average crossovers. Liquidity: Evaluates order book depth, bid/ask walls, and support/resistance zones. Momentum: Breaks down candlestick patterns, volume behavior, and price velocity. Overlay 2: Trade Setup & Risk Management AI-Extracted Targets: Instantly provides Entry Price, Target Price, and Stop Loss. Live CALC Engine: Calculates Risk Amount ($), Position Size (Units), and Risk-to-Reward (R:R) Ratio. Everything updates live as you type in your desired risk percentage. 🛠️ How It Works (Under the Hood) Vision-to-Text Processing: Captures the screen in real-time using the mss library and sends the raw screenshot to Google Gemini 2.5 Flash via the Google GenAI SDK. Prompt Engineering: Engineered strict structured prompts using [ANALYSIS] and [TRADE] tags to force the LLM to output reliably parseable price data. Regex Extraction: Uses regex to pull the exact Entry, Target, and Stop prices from the AI's response and wire them directly into the local risk calculator. Custom Desktop UI: Built always-on-top transparent overlays using Python's Tkinter, utilizing threading to keep the UI fully responsive during API calls. Hands-Free Scanning: Integrated a global hotkey (Ctrl+A+I) and an Auto Mode that scans the chart every 20 seconds. 🧗‍♂️ Challenges Overcome Structured LLM Outputs: Getting an LLM to consistently return prices in a parseable numeric format is notoriously tricky. We solved this with rigorous prompt engineering and robust fallback handling. Thread-Safe UI: Tkinter isn’t thread-safe. We engineered a solution to route all UI updates through root.after() callbacks from the active analysis thread. UX/UI Friction: Tuning the transparency and colors so the text remains readable across both dark and light chart themes, while ensuring our global hotkeys didn't conflict with native trading platforms. 🚀 What We Learned & What's Next This project proved just how incredibly capable Gemini 2.5 Flash is at visual reasoning. It accurately identified complex candlestick patterns, moving averages, and volume spikes from a raw image alone. The Roadmap for NanoMech: Voice Output: Speaking the trade setup aloud for a 100% hands-free experience. Multi-Monitor Support: Allowing users to select which screen the AI tracks. Cloud Hosting: Running NanoMech as a scalable web service on Google Cloud Run. Trade Logging: Automatically tracking how the AI's setups perform over time. 💻 Built With Python | Google Gemini 2.5 Flash | Google GenAI SDK | Google Cloud | Tkinter | mss | pillow | Regex Ready to try it out? Check out the code and run it yourself: https://github.com/omshukla24/NanoMech

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Cover image for 🌿 Just built something beautifully

🌿 Just built something beautifully strange for the Bubble x Contra Bloom challenge. It’s called GRAFT. Two people upload: 📸 a selfie 💬 one line about their relationship AI then performs a “grafting ceremony” and fuses them into ONE living bloom-creature that somehow feels emotionally true to both people ✨ 🌱 faces collide 🫀 roots connect 🌸 a new organism blooms alive And the creature can evolve over time through re-grafting. Try it here → https://graft-75845.bubbleapps.io/version-test?debug_mode=true #Bubble #BloomWithBubble #AI #buildinpublic

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Cover image for 🐉 Dragon in the Drawer.
A

🐉 Dragon in the Drawer. A child drew a dragon. 💬 And said: “the dragon is mad because the people woke him up… so now he’s burning all the buildings and they’re running.” 🎬 I turned that into a film. ✨ Just a drawing, a sentence, and a name — and it becomes a full story: Character → Story → Animation → Film — ❤️ This project is close to my heart. I built it for a girl named Angel. She was very ill when she was born. Our whole family prayed for her. She survived — so we called her Angel, because that’s what she felt like to us. I haven’t seen her in a while… but I wanted to create something she could feel. — 🌱 Because every child deserves to see their imagination come alive. Not just as drawings… but as stories they can watch, feel, and remember ✨ — Try👇 https://studio.morphic.com/en/workflows/019dca9f-eb8f-7392-b81d-bffe4a8a388f/dragon-in-the-drawer

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Cover image for Syntra — AI Productivity Engine

Most

Syntra — AI Productivity Engine Most productivity apps expect you to organize your life. Syntra does it for you ⚡ You start with a messy brain dump 🧠 Syntra converts it into structured tasks, a 7-day plan, and real-time insights — instantly. The interface itself was generated using Paper MCP 🧩 → turning abstract system logic into a fully designed, interactive UI in real time. → bridging idea → structure → interface seamlessly. Try: 🔗 https://syntra-493723.uc.r.appspot.com/ (https://syntra-493723.uc.r.appspot.com/)🔗 https://github.com/omshukla24/Syntra Built with: ⚙️ Next.js + TypeScript 🧠 Google Gemini 2.5 Flash 💾 localStorage (no backend / no DB) 🎨 CSS Modules (no Tailwind) 🎬 Framer Motion 🧩 Paper MCP Runs entirely locally 🔐 No setup. No manual planning. Just chaos → structure → execution 🚀

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