Currently, I am building
ElevenLabs'
voice agents platform, and in my free time, develop and scale
StudyKit to over one
hundred thousand users. Before that, I studied computer science and
mathematics at the
University of Maryland,
interning at
Palantir, Google,
and AWS along
the way.
[More about my experiences.]
While probably sparser now that I'm working full time, my
Github
holds many of my experiments in web ML, frontend and AI dev tooling, as
well as past hackathon projects. Don't hesitate to get in touch with
exciting ideas, opportunities, or just to say hi — links below! Love
talking and learning about all things applied AI, distributed systems,
and
TC39 :)
At the moment...
Engineering at
ElevenLabs
— ElevenAgents.
Building robust testing infrastructure for voice AI agents, and
strengthening agentic workflow and conversational analytics features
from product UI to backend orchestration.
Co-founder at
StudyKit — many
things.
StudyKit is an AI-powered edtech platform helping over 100k students
across the world learn smarter and build effective study habits.
In a previous life...
SWE Intern at
Google —
Android Automotive.
Built user experiences for authentication resurfacing in vehicles
running Android Auto.
SWE Intern at
Palantir
— Gotham.
Created data aggregation and visualization features for defense
products. Led a greenfield effort to build a performance-optimized
version of the product frontend.
SDE Intern at
Amazon Web Services
— Elastic Block Store.
Designed and implemented a conditional distributed rate-limiting
strategy, enabling select clients to burst usage through intelligent
caching.
ML Researcher at
University of Maryland
under Dr. Rajeev Barua.
Built LLaMa and RAG-based multi-agent system for natural language SQL
generation, improving benchmark accuracy by 25% through multi-shot
prompting and execution-time validation.