Service
Before Self
बलिदान
परम धर्म
Victory
Through
Technology
Research Engineer at Qubeats

Ayushya Verma

Research Engineer building intelligent systems across reinforcement learning, multi-sensor fusion, and computer vision. Deployed AI for Special Forces, Infantry Divisions, and defense logistics — all during an M.Tech.

Hyderabad, India
M.Tech (AI), DIAT-DRDO — 8.0 CGPA
1 Commendation · 4 Military LoRs
22+
Projects Delivered
5
Military Endorsements
2
Papers in Progress
8.0
M.Tech CGPA
1
IndiaAI Fellowship
Career

Experience

Jun 2026 — Present
Research Engineer
Qubeats, Hyderabad
AI-based decision systems, multi-sensor data fusion, edge AI deployment, and real-time dashboard engineering for defense and navigation domains.
Jul 2024 — Jun 2026
Independent Applied AI Consultant
13+ paid projects for military and institutional stakeholders
End-to-end AI systems across optimization, predictive maintenance, CV, and operational analytics. 4 LoRs from serving Army officers and a Rear Admiral commendation.
Jul 2025 — Mar 2026
Research Intern
DRDO Young Scientist Lab — AI, Bangalore
M.Tech thesis on MARL evaluation of LLM agents in interactive environments. VLM, deep learning, and generative AI research.
Jul 2023 — Oct 2024
Software Developer
K.M. Williams & Associates, USA (Remote)
Led LLM automation systems reducing cost by ~50%. Built SafeHaven healthcare platform (CTO). Presented at Innov8 Talks (Saudi Arabia) and World Utility Congress (Abu Dhabi).
Sep 2023 — Apr 2024
Research Intern
IIT Guwahati — E&ICT Labs
Post-quantum cryptography and privacy-preserving ML research with the Indian Navy. TFQ, PySyft frameworks.
Feb 2023 — Apr 2023
Research Intern
IIT Guwahati — BioTech / E&ICT Academy
ECG data processing using WFDB framework for myocardial infarction prevention.
Jul 2022 — Aug 2022
Trainee
Engineers India Limited, New Delhi
Project management web application using React JS and Spring Boot.
Work

All Projects

Endorsements

Military Recognition

Commendation

"Exceptional technical and collaborative support during the development of a critical proof of concept project... outstanding initiative, professionalism, and technical depth throughout the development phase."

Rear Admiral Nelson D'Souza, NM — Commandant, Military Institute of Technology (MILIT)
Formal Acknowledgement for KASAM · 23 PARA (Special Forces) · 13 Jun 2025
Letter of Recommendation

"He served not only as a core developer but also as the team leader... a unique blend of technical mastery, leadership, and problem-solving acumen. His strength lies in converting abstract operational needs into real-time, field-adapted solutions."

Lt Col Vishesh Panwar — 23 PARA (Special Forces), Indian Army
Letter of Recommendation for KASAM · 26 Apr 2025
Letter of Recommendation

"Led the system architecture, AI/ML pipeline development, and frontend engineering with exceptional technical depth... a level of maturity typically expected from engineers with substantially greater professional experience."

Maj Ankit Chaudhary — Officer Commanding, 118 (I) Inf Bde Gp OMC
Letter of Recommendation for AIDSS · 15 Jul 2026
Letter of Recommendation

"A rare talent with a mission oriented mindset, technical brilliance and aptitude for innovation. He single handedly developed an advanced AI powered Predictive Maintenance Algorithm... his contributions were significant in the successful execution of the project."

Lt Col Pulkit Dewan — 627 EME Battalion, Indian Army
Letter of Recommendation for WLR Swathi · 22 Apr 2025
Letter of Recommendation

"Rare technical maturity, leadership ownership, and mission-oriented execution capability."

Lt Col Mohan R — HQ 28 Infantry Division
Letter of Recommendation for V-HOT · Helicopter Fleet Operations
Awards
🏅
IndiaAI Fellowship
Ministry of Electronics & IT (MeitY)
Project VAANI — Multilingual voice & lip-sync translation
Armed Forces Commendation
Indian Armed Forces
Formal recognition for KASAM deployment
🎯
Best Coder 2021
DGI Coding Competition
Exceptional programming and problem-solving
🌐
International Representation
World Utility Congress & Innov8
Presented AI research at Abu Dhabi & Riyadh
Research

Publications

In Preparation
PPO-Fine-Tuned Small Language Models as Tactical and Cooperative Multi-Agent Commanders for StarCraft II
Target: IEEE Transactions on Games
M.J. Nene, A. Verma
In Preparation
VAANI: A Modular Offline Pipeline for Speech-to-Speech Translation with Cross-Lingual Voice Cloning and Lip Synchronisation
Target: IEEE ICASSP 2026
M.J. Nene*, A. Verma
Published
MedsGen: A Comprehensive Platform for Generic Medicine Identification and Access
NeuroQuantology
A. Verma et al.
Published
INS CHANAKYA
Published
A. Verma
Academics

Education

M.Tech — CSE (Artificial Intelligence)
Defence Institute of Advanced Technology (DIAT-DRDO), Pune
2024 — 2026 · CGPA: 8.0 · Supervised by Dr. Manisha J. Nene (Assoc. Prof.)
"Victory Through Technology"
IndiaAI Fellowship — MeitY
Ministry of Electronics & Information Technology, Govt. of India
Fellowship for VAANI multilingual translation research
Mastercamp — Applied Finance
Masters' Union
2024 — 2025
B.Tech — Computer Science & Engineering
Dronacharya Group of Institutions, Greater Noida
2019 — 2023
Class XII — CBSE (Non-Medical)
St. Thomas Senior Secondary School, Faridabad
2017 — 2019 · Physics, Chemistry, Mathematics, IP
Class X — CBSE
Delhi Public School, Faridabad
2004 — 2017
"Service Before Self"
Stack

Technical Depth

AI / ML

PyTorch, TensorFlow, PPO, MAPPO, MARL, RLHF, Transformers, YOLO, LLMs (Qwen, LLaMA, GPT, Mistral), Stable Diffusion, ControlNet, RAG, Whisper, XTTS-v2, MonoT5, FAISS, BM25, OR-Tools CP-SAT

Engineering

Python, JavaScript, TypeScript, React, Flask, FastAPI, Spring Boot, PostgreSQL, SQLite, Docker, Git, Linux, ffmpeg, Raspberry Pi, Edge AI, CUDA, Hugging Face, Lightning AI, Ollama

Domain Expertise

Defense AI, multi-sensor fusion, situational awareness, predictive maintenance, logistics optimization, speech translation, CV surveillance, post-quantum cryptography, drone systems, autonomous agents

Let's Build Something Meaningful

Open to conversations on AI/ML Engineering, Computer Vision, Reinforcement Learning, and Systems Development — especially where research meets the field.