Twelve projects spanning defense R&D, reinforcement learning research, LLM systems, and client engagements. Each has a dedicated case study — click through for problem, approach, stack, and results.
AI-enabled platform integrating multi-sensor inputs, real-time dashboards, and autonomous decision support. Field-tested by the Indian Army.
AI-driven route & mission planner for rotary-wing logistics — optimizing paths under terrain, fuel, and operational constraints.
Offline-capable RAG system for domain-specific Q&A and decision support — reliability, data isolation, and bandwidth-constrained deployment.
Multi-agent reinforcement learning testbed over mobile ad-hoc networks — adaptive coordination under contested, constrained network conditions.
AI-driven predictive repair system forecasting failures and optimizing maintenance cycles for radar subsystems using historical and operational data.
Predictive analytics for inventory forecasting and logistics optimization in large-scale operational settings with multi-echelon demand patterns.
CV-based detection systems using thermal imagery for continuous monitoring in constrained field conditions — low-light, variable range, ruggedized.
Text-to-sketch and sketch-to-image generation pipelines with a focus on controllability, fidelity, and deployment feasibility on modest hardware.
Proximal Policy Optimization applied to classical matrix games to study emergent cooperation, policy convergence, and game-theoretic stability.
Classic DQN implementation on the CartPole control task — experience replay, target networks, and epsilon-greedy exploration built from scratch.
Designed and delivered a production website for a catering business — full visual identity, responsive experience, and live on amantranaacaterers.com.
Automated timetable generator that produces conflict-free schedules given faculty, room, and course constraints using constraint-satisfaction techniques.