M.Tech (AI) candidate at DIAT-DRDO specializing in Reinforcement Learning, Computer Vision, and Generative AI. Delivering field-tested, production-ready AI systems for defense, healthcare, and enterprise applications.
class AIEngineer: def __init__(self): self.name = "Ayushya Verma" self.role = "AI/ML Engineer" self.education = "M.Tech AI @ DIAT-DRDO" def expertise(self): return [ "Reinforcement Learning", "Computer Vision", "LLMs & RAG Systems", "Edge AI Deployment", "Multi-Agent Systems" ] def current_work(self): return """ Building autonomous tactical decision systems at DRDO """
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 producing conflict-free schedules given faculty, room, and course constraints using constraint-satisfaction techniques.
Defence Institute of Advanced Technology (DIAT) – DRDO
Pune, India • Expected 2026
Thesis: Reinforcement Learning Framework for Autonomous Tactical Decision-Making in Constrained Environments
Dronacharya Group of Institutions (AKTU)
Greater Noida, India • 2019 – 2023
Best Coder 2021 • GeeksforGeeks Chapter Lead (Founder) • Coding Club President (Founder)
DRDO – DYSL-AI
K. M. Williams & Associates
IIT Guwahati
Ministry of Electronics & IT (MeitY)
Project VAANI — Multilingual voice & lip-sync translation system
Indian Armed Forces
Formal recognition for KASAM situational awareness system deployment
DGI Coding Competition
Recognized for exceptional programming skills and problem-solving
World Utility Congress & Innov8 Challenge
Presented AI research at Abu Dhabi and Riyadh
Open to conversations on AI/ML Engineering, Computer Vision, Reinforcement Learning, and Systems Development — especially where research meets the field.