Machine Learning and Robotics Engineer specializing in neural networks, autonomous systems, computer vision, cybersecurity, and production AI platforms. Building intelligent systems that operate in real-world environments.
Production-ready AI business intelligence platform providing automated analytics, decision support, and real-time dashboards. Full-stack architecture with React, Supabase, PostgreSQL, deployed on Vercel.
View on GitHub →Neural network congestion prediction combined with fuzzy logic optimization. Graph-based traffic modeling for real-time adaptive signal control.
View on GitHub →System-level intrusion detection platform monitoring OS process activity to identify malicious behavior using anomaly detection and behavioral analysis.
View on GitHub →Custom neural network built entirely from scratch — forward propagation, backpropagation, and gradient descent to classify handwritten digits.
View on GitHub →Mobile manipulator with integrated computer vision, state-machine control, and multi-DOF manipulation. AntBot hexapod with 21-DOF inverse kinematics and tripod gait validated via MATLAB simulation.
View on GitHub →Optimization framework for low-dose CT reconstruction using ADMM algorithms with neural network integration for medical imaging inverse problems.
View on GitHub →AI-driven metro train scheduling and optimization for Kerala Metro. Minimizes headway, optimizes induction planning, and improves operational efficiency across metro lines.
View on GitHub →Machine learning framework correlating microstructural features with mechanical properties of alloys for engineering design.
View on GitHub →ML and Robotics Engineer focused on autonomous systems and computer vision. Currently pursuing B.Tech in AI & Data Science at Amrita Vishwa Vidyapeetham.
I build intelligent systems that bridge perception, decision-making, and control. My work spans neural networks, optimization algorithms, cybersecurity systems, and real-time robotics — from bare-metal implementations to production deployments.
I care about engineering depth. Every project is built to understand internals, not just to use libraries.
Open to opportunities in ML Engineering, Robotics, Cybersecurity, and AI Research.