Mayank Jaiswal — Software Engineer

I build backend systems and ML pipelines that ship to production not demos. Currently completing my B.Tech in Computer Science + Data Science at UPES (minor in finance). Here's what I've shipped: → Autonomous AI hedge fund — multi-agent system using local LLM inference, fully Dockerized, screens equities and sizes positions with zero human intervention. No manual steps. End to end. → LSTM stock forecasting app — 85–90% directional accuracy, results served in under 10 seconds. Built with TensorFlow/Keras, deployed and usable. → AI wealth management backend — 3 ML modules, PostgreSQL, REST APIs. Achieved 50% runtime improvement through vectorized computation. Modular enough for a team to extend. At JMD Technocast, I built and deployed a full-stack production inventory system that cut delays by 30% and reduced manual effort by 40%. Real users, real workflows, real impact. Tech Stack: Python · C++ · SQL · PostgreSQL · Flask · Docker · TensorFlow/Keras · REST APIs I write code that is documented well enough for someone else to maintain, optimized well enough to scale, and scoped well enough to ship. Competitive programming keeps the fundamentals sharp. Open to full-time SDE roles in backend engineering, systems, or applied ML — starting 2027.

Stackforce AI infers this person is a Backend Developer with expertise in Fintech and Machine Learning.

Location: Nagpur, Maharashtra, India

Experience: 0 mo