Freelancers using Django in New Delhi

Freelancers using Django in New DelhiFreelancers using Django in New Delhi

Projects People

proGhaziabad, India

Full Stack Developer | MVPs, SaaS & Dashboards for Startups

$10k+: Earned

4x: Hired

4.9: Rating

23: Followers

Full Stack Developer | MVPs, SaaS & Dashboards for Startups

Cover image for Lead Recovery Platform

Lead Recovery Platform

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Cover image for Flight Booking Platform

Flight Booking Platform

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25

Cover image for Innovation Intelligence Platform

Innovation Intelligence Platform

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Cover image for AI Search Optimization Platform

AI Search Optimization Platform

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25

proGurugram, India

Founding AI Engineer, Agents, Automation, Cloud, Full-Stack

$1k+: Earned

8x: Hired

4.7: Rating

53: Followers

Founding AI Engineer, Agents, Automation, Cloud, Full-Stack

Cover image for Busly – Multi-Role CRM & Payment Management SaaS

Busly – Multi-Role CRM & Payment Management SaaS

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Cover image for Smart Customer Support Chatbot – Built with Python & NLP

Smart Customer Support Chatbot – Built with Python & NLP

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40

Cover image for WooCommerce to Shopify Migration & Custom Shopify Development

WooCommerce to Shopify Migration & Custom Shopify Development

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20

Cover image for Dynamic Survey Reporting & Automation

Dynamic Survey Reporting & Automation

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Python & Django developer for web apps and APIs

New to Contra

Python & Django developer for web apps and APIs

Cover image for Hit a classic Django trap

Hit a classic Django trap this week and figured it's worth sharing since so many people are running into it now. I was adding an LLM feature to a Django app. The AI call takes a few seconds, so naturally I made the view async so it doesn't block a worker while waiting. Wrote the async view, called the ORM like I always do, and boom: SynchronousOnlyOperation: You cannot call this from an async context. Turns out Django's ORM can't just be called normally inside async code. The classic sync API isn't safe in an event loop, so Django protects it and throws this error instead. The fix is simpler than most people think. Since Django 4.1 the ORM has async versions of everything, same names with an "a" prefix. So objects.get() becomes await objects.aget(), create() becomes acreate(), save() becomes asave(). For loops over querysets, async for works directly. And for old sync code or third party libraries you can't change, wrap them with sync_to_async(). Why this matters right now: everyone is bolting AI features onto Django apps, and LLM calls are exactly the slow I/O that async is made for. Which means a lot of devs who never touched async Django are suddenly hitting this error for the first time. One honest caveat: transactions still don't fully work in async mode, so if you need atomic blocks, keep that path sync and wrap it. Anyone else made the jump to async views yet, or still happily on WSGI?

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Cover image for An AI-powered news platform that

An AI-powered news platform that delivers concise, real-time AI-industry updates to 2,500+ active users. It scrapes and aggregates 500+ sources daily, removes duplicates, and uses generative-AI summarization to cut reading time significantly while surfacing the most relevant stories. I built the backend responsible for scraping, deduplication, and the LLM summarization pipeline.

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Cover image for Built a Python-powered automated trading

Built a Python-powered automated trading tool that pulls live market data, runs technical analysis, and generates real-time trade signals. Features normalized comparison charts across multiple assets (Nifty, USD Index, Brent Crude, US 10Y Yield), a macro pressure table, correlation analysis, and a portfolio helper. Backend built in Python with automated data pipelines, live market feeds, and signal interpretation logic that flags bullish/bearish pressure. Clean, data-dense dashboard for fast decision-making. Tech: Python, Pandas, REST APIs, data automation, real-time charting.

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Cover image for An AI-driven trading engine that

An AI-driven trading engine that analyzes 200-DMA breakouts and real-time market sentiment to generate long/short recommendations. It scans 1,500+ NSE stocks in under 2 seconds and uses generative AI to build option strategies, delivering event-driven trade signals end-to-end. I built the full Django backend, async APIs, and the signal-generation logic. Accomplishments and responsibilities: Built an AI-driven trading engine analyzing 200-DMA breakouts and market sentiment, generating long/short signals with ~70% directional accuracy — outperforming baseline strategies by 35%; Integrated generative-AI insights for automated option-strategy creation (spreads, straddles, condors), improving Sharpe ratio by 1.6× and cutting manual analysis time by 60%; Developed a Django backend with async APIs scanning 1,500+ NSE stocks in under 2 seconds, achieving 40% lower latency with event-driven alerts.

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Full-Stack Developer building fast, modern web apps

Full-Stack Developer building fast, modern web apps

Cover image for Recently, I built a Django REST API Boilerplate — a producti...

Recently, I built a Django REST API Boilerplate — a production-ready backend template for modern SaaS apps and APIs. Highlights: 🔹 Modular, scalable architecture with Django REST Framework 🔹 JWT auth, Swagger docs, and Docker setup included 🔹 Split settings for dev/prod environments 🔹 PostgreSQL + Stripe-ready billing integration 🔹 Clean API design for easy frontend integration It’s built for developers who want to skip repetitive setup and focus on real product logic from day one. 🔗 GitHub: https://github.com/aman-sharma-dev/saas-boilerplate

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Cover image for About 2 months ago, I built an Encryption Suite — a versatil...

About 2 months ago, I built an Encryption Suite — a versatile tool for encrypting text, files, and folders with Flask, Python GUI, and CLI support. Highlights: 🔹 Password & key-based encryption 🔹 Web UI, GUI, and CLI in one project 🔹 Fernet and demo ciphers like Caesar 🔹 Simple yet powerful for all users It’s a fun experiment in multi-interface app design, blending web, desktop, and command-line experiences under one secure system. 🔗Github: https://github.com/aman-sharma-dev/pycryption

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Cover image for About 3 months ago, I built PDF Toolbox (https://github.com/...

About 3 months ago, I built PDF Toolbox (https://github.com/aman-sharma-dev/pdftoolbox), a lightweight suite of tools to manage and interact with PDF files - all through a clean web interface and live API documentation. It’s not just about merging or compressing PDFs - the real focus is on the interactive API docs that let you test every endpoint directly in the browser, view request/response structures, and understand how the backend works in real time. Key Highlights: 🔹 Merge, compress, extract, and convert PDFs easily 🔹 Live API playground for testing endpoints 🔹 Built with Next.js, TypeScript, TailwindCSS, and shadcn/ui 🔹 Powered by pdf-lib for PDF operations 🔹 Deployed on Vercel for smooth performance PDF Toolbox shows how simple, transparent API design can turn even small utilities into developer-friendly products.

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Cover image for About 7 months ago, I built Forjnot (https://forjnot.vercel....

About 7 months ago, I built Forjnot (https://forjnot.vercel.app/), a high-performance monorepo starter template designed for developers who care about scalability and clean architecture. It integrates NestJS, Next.js, and TurboRepo - making it easy to spin up real-world, production-ready full-stack apps with minimal setup. Key Highlights: 🔹 Modular & Scalable Backend powered by NestJS 🔹 Next.js frontend with SSG support 🔹 TurboRepo for efficient monorepo management 🔹 Shared packages for configs, DTOs, types, and utilities 🔹 Ready-to-use Docker setup for smooth deployment Forjnot (https://forjnot.vercel.app/) isn’t just a boilerplate - it’s a carefully structured foundation built for speed, clarity, and long-term scalability. 🔗 Check it out on GitHub: https://github.com/aman-sharma-dev/forjnot

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"Frontend Developer React.js,TypeScript,CSS,HTML,PYTHON,JSON

"Frontend Developer React.js,TypeScript,CSS,HTML,PYTHON,JSON

Cover image for Ray Project Codebase Contribution

Ray Project Codebase Contribution

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Cover image for SQLFluff SQL Linter Project

SQLFluff SQL Linter Project

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Cover image for Development of Wasmtime Runtime for WebAssembly

Development of Wasmtime Runtime for WebAssembly

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Entrepreneur/Engineer

Entrepreneur/Engineer

Cover image for Voxup - A platform like Reddit

Voxup - A platform like Reddit

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Cover image for 98 Entertainment Website

98 Entertainment Website

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30

Cover image for InternBucks - Find Curated List of Internships

InternBucks - Find Curated List of Internships

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Full Stack Developer & ML Engineer | Puneet

Full Stack Developer & ML Engineer | Puneet

Cover image for Ecom Website

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Cover image for Stock Strategy Tester

Stock Strategy Tester

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8

Cover image for Simplified Billing

Simplified Billing

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New Delhi, India

Blockchain Developer & Fullstack Engineer

Blockchain Developer & Fullstack Engineer

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paras41617/Transcript

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Cover image for paras41617/Conference-Time

paras41617/Conference-Time

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Cover image for paras41617/Uniqart

paras41617/Uniqart

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9

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