Hey! I’m Satya, a B.Tech final-year student and a developer who genuinely enjoys building things, breaking them, and then figuring out how to make them better. My interests sit at the intersection of Software Development, Cloud, DevOps, DevSecOps, and AI/ML. I enjoy working across the entire development journey from turning an idea into a product and designing its architecture to deploying it, testing its performance, monitoring it, and securing it. I’ve worked on projects such as IRCTC 2.0, a production-style railway reservation system focused on concurrency, transactions, seat allocation, and scalable architecture; TaskSphere, a project management platform; and AI/ML projects involving stock market prediction and data-driven experimentation. Working on these projects has taught me that development is not just about making something work it’s about understanding why it works, what happens when it fails, and how it behaves when thousands of users show up at the same time. I’m also exploring research in machine learning and financial markets, where I get to combine experimentation, statistics, and engineering. But honestly, the part I enjoy most is learning by building. Every bug, failed deployment, unexpected result, or broken pipeline usually teaches me something I wouldn’t have learned from a tutorial. For me, DevFest is more than a tech event. It’s an opportunity to meet curious people, discover new ideas, share experiences, and find inspiration for the next thing to build. So, if you see me at DevFest, don’t hesitate to say “Hi!”👋 Want to talk about AI, DevOps, cloud, open source, research, system design, or a crazy project idea? I’m always up for a good tech conversation. Build. Break. Learn. Improve. Repeat.
IRCTC 2.0 – Railway Reservation System
A scalable railway reservation platform focused on solving real-world booking and concurrency challenges. Implemented real-time seat locking with TTL expiration, MongoDB transaction-based booking, automatic seat allocation, and WL → RAC → Confirmed seat promotion to avoid double bookings under concurrent traffic. Also includes JWT/OTP authentication, PNR generation, multi-quota reservations, rate limiting, audit logging, and an admin analytics dashboard.
AI Stock Predictor & Trading System
An AI-powered stock prediction and trading system that uses LSTM neural networks to analyze market data and generate predictions. The project also explores algorithmic trading strategies with real-time data processing and automated execution, combining machine learning with financial technology.
A custom operating-system project built from scratch to explore Linux internals and low-level system development. Implemented process scheduling, memory management, file-system functionality, interrupt handling, system calls, and hardware abstraction components.
Bachelors of Technology
Siksha O Anusandhan
Attendee · Oct 24, 2026