Experience
My work has taken me from aerospace and audio to self-driving cars, on-device AI, and now startups.
Entrepreneur in Residence
Building an AI company from scratch—talking to customers, testing ideas, and shipping early products.
AI Research Scientist
Small LLMs, personalization, reasoning, quantization, and edge deployment under real compute and latency constraints.
Associate Researcher
Deep imitative models and multi-agent planning for self-driving cars.
Machine Learning Intern
ML applications for noise cancellation in audio devices.
R&D Engineer II
NLP and audio applications for aerospace industry.
Research
Six papers spanning language-model agents, multi-agent evaluation, multimodal learning, knowledge graphs, and reinforcement learning.
2. SMaRT: Select, Mix, and ReinvenT—A Strategy Fusion Framework for LLM-Driven Reasoning and Planning
Patents
Inventor on seven U.S. patent records: two granted patents and five published applications.
1. Procedural Knowledge for a Smart Home Automation System
Granted · US12525237B2 · Uses surrounding device context to understand incomplete voice commands.
2. Systems and Methods for Natural Language Queries
Granted · US11829358B2 · Turns natural-language questions into structured database queries.
3. Personal Large Language Model Agents for Complex Tasks
Published application · US20260023979A1 · Personalizes LLM agents using information about the user and the task.
4. Joint and Unimodal Learning for Audio-Visual Emotion Recognition
Published application · US20250232122A1 · Combines audio and video representations to recognize emotion.
5. Light Transformer-Based Emotion Recognition
Published application · US20250209802A1 · Uses lightweight transformer models for audio-visual emotion recognition.
6. AI Evaluation and Model Selection
Published application · US20250077866A1 · Evaluates candidate AI models and selects one for deployment.
7. AI Evaluation and Control
Published application · US20240232620A1 · Uses logic rules to evaluate link-prediction models before deployment.
What I Work On
AI agents and LLM systems, personalization, multi-agent evaluation, reasoning and planning, and small models that must work under real compute, latency, or reliability constraints.
Education
Masters in AI/ML
B.Tech Computer Science & Engineering, Minor in Entrepreneurship
Outside Work & Fun
- Travel and experiences
- Visual art & AI-generated media
- Videography & short-form experiments
- Music - listening, curation, playlists
- Entrepreneurship