Balaji G — Software Engineer

👨‍💻 By day: Python-wielding backend wizard 📊 By night: Algo trader decoding the market’s secrets 🌐 Fluent in APIs, async, and AWS 🧠 MBA brain + Dev hands + Quant heart 🥘 Bonus: Can debug a socket while recommending the best biryani in town 🚦 Motto: If it moves, automate it. If it’s slow, optimize it. I'm a backend-focused engineer with an eye for strategy and a heartbeat tuned to the markets. I design and build high-performance systems that power real-time trading, automate decision-making, and connect seamlessly across broker ecosystems. 🔧 Tech Stack: Python (asyncio, FastAPI), PostgreSQL (TimeSeries), Redis, AWS (Lambda, EC2, DynamoDB), WebSockets, React.js 1. Develop and implement a profitable portfolio with optimal weightage allocation using a statistical model. 2. Discuss the strategy with the trader and automate the strategy by backtesting the strategy, if the strategy gives profitable return, then run the paper trading and finally deploy 3. Research and analyze the market data to prepare a statistical performance report to make decisions. 4. Develop and implement a complex mathematical model that financial firms use to create signals to trade. 5. Good knowledge in python libraries like numpy, pandas, matplolib and scikit-learn. 6. Good Exposure in machine learning and statistical model to predict stock market prediction like sentimental analysis using google news and live twitter data. 7. Automatic suggestion of support and resistance line using past historical Data by price action technique of given stock 8. Created LIVE Excel model option chain to monitor option Greek and implied Volatility of each strike price of Index using python xlwing library. 9. Proficient in Algotrading to create strategy using quants in python 10. Proficient in OMS and EMS with API connect. 11. AWS – Good exposure and knowledge in AWS lambda, EC2, DynamoDB, AWS SQS, S3 bucket 12. Good Exposure in Process Manager – PM2, Crontab and Schedule the script to run. 13. Redis – In-memory Caching that accelerate data access from primary database and data store with microsecond latency (using python). 14. Work experience in FastAPI, Flask framework, websocket, multi-threading. 15. Working knowledge in Linux (Ubuntu) 16. Working knowledge in Version Control - Git, GitHub, GitLab 17. Send Entry and Exit signal Message through Telegram using telegramBot 18. Sending Buy and Sell trading signal to more than one client, multi-client multiple broker API.

Stackforce AI infers this person is a Fintech backend engineer specializing in algorithmic trading and data integration.

Location: Coimbatore, Tamil Nadu, India

Experience: 3 yrs 6 mos