Riddhima
Medatwal
CS undergraduate at Rutgers. Currently, an applied ML researcher in two labs. Part of an AI fellowship with Cornell Tech.
Selected Projects
ANSR
AI voice host for restaurants
Picks up every call. Takes orders, makes reservations, answers questions. 60-second menu onboarding from a photo via Gemini Pro Vision, natural voice via ElevenLabs, live dashboard via Supabase Realtime. Built solo in 7 hours.
Latte Art Robot
π0 VLA fine-tuned to pour latte art
Taught a robot arm to pour latte art by fine-tuning Physical Intelligence's π0 vision-language-action model on demonstration data. Runs on an OpenDroid R2D3 arm. Open source.
Hivememory
Shared reasoning memory for multi-agent systems
Python library for multi-agent systems. Agents store structured claims with evidence and provenance, query shared memory before doing redundant work, and get automatic contradiction alerts when findings conflict. FAISS + SQLite backend. 56% reuse rate, 17.5% token reduction on a 3-agent benchmark.
ClutterBot
Language-conditioned pick-and-place agent
Natural language to grasp-and-place in a cluttered MuJoCo scene. Gemini handles grounding and target selection, MuJoCo handles physics.
Wins
Recent Wins
Building
Currently Building
Undergraduate Researcher
Robotics ML. Regime classification in high-dimensional dynamical systems under Prof. Kostas Bekris. ~60% fewer labels needed, 97% classification accuracy near regime transition points.
Undergraduate Researcher
Computational genomics under Prof. Yossi Cohen. Transformer sequence models on 640M+ DNA bases for fungicide resistance prediction. ~73% held-out accuracy.
Machine Learning Fall Fellow
NLP for misinformation detection. Transformer pipelines across 170K+ news articles. ~20% accuracy lift, ~35% shorter test cycles. Placed via Cornell Tech Break Through Tech AI.
Cornell Tech ML Fellow
Applied ML fellowship with industry placements. Selected from 3000+ applicants.
Programming Team Lead
22nd internationally at VEX U Worlds 2025.
Short Version
About
CS undergrad at Rutgers studying applied ML and robotics. Two research labs (robot controller verification in one, genomic sequence classification in the other), Accenture ML Fellow through Cornell Tech, and software lead for Rutgers VEX U. I gravitate toward problems where intelligence meets the physical world. More on the about page.