🏆 IndiaAI Fellow (MeitY) • IEEE Member
AI/ML Engineer Building Intelligent Systems

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.

8+ Major Projects
3 International Presentations
Get in Touch View Portfolio Site
ayushya.py 
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
        """

01 Education

🎓

M.Tech in Computer Science (Artificial Intelligence)

Defence Institute of Advanced Technology (DIAT) – DRDO

Pune, India • Expected 2026

Thesis: Reinforcement Learning Framework for Autonomous Tactical Decision-Making in Constrained Environments

📚

B.Tech in Computer Science & Engineering

Dronacharya Group of Institutions (AKTU)

Greater Noida, India • 2019 – 2023

Best Coder 2021 • GeeksforGeeks Chapter Lead (Founder) • Coding Club President (Founder)

02 Experience

AI Research Intern

DRDO – DYSL-AI

Jul 2025 – Present Bengaluru, India
  • Developing RL framework for tactical decision-making in constrained environments
  • Implementing Generative AI (Text-to-Image) pipelines for visual tactical data
  • Simulating multi-agent coordination scenarios for autonomous response policies

Software Developer

K. M. Williams & Associates

Jul 2023 – Sep 2024 Remote (UAE, USA, India)
  • Engineered 3 major enterprise products with Autonomous AI Agents
  • Represented firm at World Utility Congress (Abu Dhabi) and Innov8 Challenge (Saudi Arabia)
  • Integrated LLM pipelines into legacy systems, significantly cutting query resolution time

Research Intern

IIT Guwahati

Feb 2023 – Mar 2024 Guwahati, India
  • Researched Post-Quantum Cryptography and Homomorphic Encryption with ML-based cryptanalysis
  • Collaborated on early detection models for myocardial infarction using secure ML techniques

03 Featured Projects

Multi-Sensor Situational Awareness System (KASAM)

Defense / Government

Led development of an AI-enabled situational awareness platform integrating multi-sensor inputs, dashboards, and autonomous decision support.

✦ Field-tested & validated by Indian Army; Formal commendation received
Computer Vision Edge AI Real-time Systems

Predictive Maintenance & Repair Dashboard – WLR Swathi

Defense / Government

Built an AI-driven predictive repair system to forecast failures and optimize maintenance cycles for radar subsystems using historical and operational data.

✦ Optimized maintenance cycles for critical radar infrastructure
Predictive Analytics ML Radar Systems

MARL + MANET Tactical Simulation Framework

Defense Research

Designed a multi-agent reinforcement learning simulation to study adaptive communication and coordination in contested tactical environments with network constraints.

✦ Multi-agent coordination under network constraints
MARL Simulation MANET

Helicopter Route Optimization System

Defense / Government

Developed an optimization framework for rotary-wing mission planning under terrain, fuel, and operational constraints.

✦ Mission planning under real-world constraints
Optimization Route Planning Operations Research

AI-Based Inventory & Logistics Optimization

Defense / Government

Implemented predictive analytics for inventory forecasting and logistics optimization in large-scale operational settings.

✦ Large-scale operational deployment
Predictive Analytics Logistics Forecasting

Computer Vision Thermal Surveillance System

Defense / Government

Developed and maintained CV-based detection systems using thermal imagery for continuous monitoring in constrained field conditions.

✦ Continuous monitoring in constrained environments
Computer Vision Thermal Imaging YOLO

RAG-Based LLM Assistant for Operational Users

AI & LLM Research

Designed an offline-capable Retrieval-Augmented Generation (RAG) system for domain-specific question answering and decision support. Focused on reliability, data isolation, and bandwidth-constrained deployment.

✦ Offline-capable with data isolation
RAG LLMs NLP

Generative AI Research (Stable Diffusion)

AI & LLM Research

Worked on text-to-sketch and sketch-to-image generation pipelines, focusing on controllability and deployment feasibility.

✦ Controllable generation pipelines
Stable Diffusion Generative AI Text-to-Image

04 Technical Skills

Languages

Python C++ Java SQL JavaScript

AI / ML

PyTorch TensorFlow Hugging Face YOLOv8 OpenCV Stable Diffusion RAG LLMs

Generative AI

Diffusion Models Text-to-Image NLP Conversational AI

Tools & Frameworks

FastAPI Flask React.js Docker Git Linux

Specialties

Distributed ML Edge AI Multilingual NLP Healthcare AI Predictive Analytics

05 Recognition & Awards

🏅

IndiaAI Fellowship

Ministry of Electronics & IT (MeitY)

Project VAANI – Multilingual voice & lip-sync translation system

⭐

Armed Forces Commendation

Indian Armed Forces

Formal recognition for KASAM situational awareness system deployment

🎯

Best Coder 2021

DGI Coding Competition

Recognized for exceptional programming skills and problem-solving

🌐

International Representation

World Utility Congress & Innov8 Challenge

Presented AI research at Abu Dhabi and Riyadh

Let's Build Something Amazing

Open to opportunities in AI/ML Engineering, Computer Vision, and Systems Development

aayushyaverma@gmail.com +91-9560068197 techayush.pro