currently · Designing Agents @ UConn's Research Labs · Incoming AI Researcher @ Lockheed Martin

Hi, I’m Aarya.
An AI researcher.

I currently work on agentic AI for software engineering and tackle RL/DL systems. I publish, I build. Mostly I’m here to learn out loud. I am exploring future research directions in mechanistic interpretability.

about · 3rd person

Aarya Vasantlal is an AI/ML Researcher and Engineer with a Bachelor of Science Engineering with a degree in Computer Science and Engineering at the University of Connecticut. They specialize in the design, training, and deployment of complex AI architectures, spanning Agentic Systems, Large Language Models (LLMs), Reinforcement Learning, and much more. Aarya's experience bridges production grade work with academic research; they have built on-device Voice AI and multi-agent routing architectures for over 60 tool calls in industry , won first place in UConn's Senior Design Competition for an Advantage Actor-Critic (A2C) recommendation system ,engineered multi-agent knowledge graph extraction pipelines for bioinformatic research, and much more. Complemented by full-stack development skills in TypeScript and React, as well as alignment experience with frontier models Aarya is a highly capable engineer targeting machine learning and working under the artificial intelligence umbrella term. Outside of their academic and career accomplishments, Aarya enjoys playing video games, basketball, and working out.

currently · in progress
Co-authoring a paper on knowledge-graph extraction for bioinformatics experiments.
Code here ↗
github.com/
aaryavas
py · ts
featured
1st place senior design
MOPI-HFRS A2C
0.39 → 0.73
latest blog · 2026.05
Three bugs and a baseline.
How a misreported accuracy by 50% turned into a senior-design win.
building
MOPI-HFRS A2C extension
· writing the paper
Bug-report benchmark
· eval harness