Hi, I’m
Python Full-Stack Developer • DevOps Automator • NIFTY Options Quant Trader
I build scalable apps, automate workflows, and design trading strategies powered by data and code. I love long coding sessions and elegant solutions.
I am a Python Full Stack Developer and Trader with a passion for solving complex problems through code. I specialise in building and deploying applications, automating DevOps workflows, and designing Model Context Protocols (MCP) for LLMs.
On the trading side, I focus on the Indian market, trading NIFTY options using quantitative strategies and building automated trading systems for clients. Coding and trading are not just skills — they are my lifelong passions.
I’m eager to collaborate with fintech teams where I can both contribute and keep learning from peers.
Designing robust systems, optimizing performance, iterating trading hypotheses, and creating automation that saves time.
Data-driven, test-first, and production-minded. I prefer clear APIs, solid monitoring, and repeatable deployments.
Python, Flask, FastAPI, REST APIs, Microservices, Backend & API design.
CI/CD pipelines, deployment automation, scripting with Python, monitoring & logging.
PostgreSQL, MongoDB, SQLite; data pipelines and ETL for quant research.
NIFTY options, quant strategies, backtesting, live algo execution, broker API integrations.
Model Context Protocols (MCP), prompt design, context management for LLM-driven apps.
Problem solving, perseverance, clear communication, client collaboration.
Full-stack Python web app system for all Indian F&O stocks: research, backtesting, signal generation, and automated execution via broker APIs. Under development (https://traderinfo.com)
Role: Lead developer (single-handed) • Tools: Python, Flask, GitHub, PostgreSQL, Broker API, CI/CD, Ubuntu OS
Scalable Flask app deployed with AWS, Flask and Arduino for monitoring water quality. It is for multiple users connected to multiple devices with respective authentications. (https://hmwssb.neerovel.in)
Role: Full-Stack / AWS DevOps • Tools: Flask, AWS (EC2 Instance / IOT Things / Lambda Functions / Dynamo DB)
Scalable DJango backend with PostgreSQL, role-based auth and containerised deployment. It a resource management system for the college, used by 100+ faculty. (https://hitam.org/)
Role: Backend(20%) & DevOps(80%) • Tools: DJango, PostgreSQL, GitHub, Ubuntu OS, NGINX
Backtesting a strategy with multiple parameters to find the best one. Optimized for speed and memory usage.
Info: On NQ futures data • Tools: Python, Pandas, NumPy, APIs
Have many more small projects that helped me grow as a developer, bit by bit everyday :)
I’m currently freelancing and open to roles in fintech. If you want help building trading systems, automating DevOps, research with data, or shipping backend services —
Or find me on GitHub