About
Information Science undergraduate skilled in reinforcement learning, full-stack development, and scalable software design, with hands-on experience building AI-driven systems, full-stack applications, and embedded robotics projects. Seeking a software/programmer trainee role to apply strong programming fundamentals and problem-solving ability to real-world engineering challenges.
Education
Projects
VIGIL-RQ: Vision-Guided Quadruped Reconnaissance Robot
Built FPGA-based PWM signal generation in Verilog for low-latency multi-servo locomotion control. Implemented a Sim-to-Real RL pipeline for adaptive gait optimization across real-world terrain. Deployed a real-time OpenCV vision subsystem on Raspberry Pi for target detection and tracking. Developed a mobile-responsive React app with WebSocket teleoperation, live telemetry, and emergency stop.
View details
Adaptive Reinforcement Learning-Based CPU Scheduler
Built a custom Gymnasium environment simulating a 50-process multi-core CPU queue. Trained a PPO agent to schedule processes, benchmarked against FCFS, SJF, SRTF, Round Robin, and Priority with Aging. Added action masking and built a FastAPI + WebSocket backend with a React dashboard. Containerized the app with Docker Compose.
View details
Krishi Mithra AI-Powered Agriculture Platform
Built a full-stack crop advisory platform with AI recommendations, soil analysis, and live weather data. Developed an OpenAI-powered chatbot to improve information access for farmers. Designed a MySQL schema and Flask REST APIs for scheme discovery, with a modular React.js frontend.
View details