AI Engineer turning cutting-edge research into real-world products

I design end-to-end ML systems that deliver real-world impact—leveraging NLP, vision, and model optimization to solve complex problems with clarity and scale.

Industry Experience
Embedded AI for Robotics — speech recognition, NLP, motion execution
Academic Research
Neural decoding with TCA, high-dimensional signal analysis
Full-Stack ML Projects
ASR, fine-tuned NLU, OpenSearch ranking, built from scratch

Highlighted Work

Voice AI Workout Assistant

Real-time NLP system with ASR, hybrid NLU, and personalized search

  • Built a real-time voice AI system that transcribes, parses, and recommends workouts using ASR + NLU.
  • Fine-tuned DistilBERT for intent classification and designed hybrid spaCy + rule-based NER.
  • Integrated OpenSearch with boosting, delivered with FastAPI + React.
WhisperASRDistilBERTNERspaCyOpenSearchFastAPIReactPython

Neuroscience Thesis: TCA in Maternal Learning

Statistical modeling for neural decoding & dimensionality reduction

  • Developed Tensor Component Analysis to uncover neural dynamics in the maternal PVN circuit.
  • Published thesis based on behavioral neuroscience research at NYU Langone.
TCAPCAStatistical ModelingNeuroscienceMATLABPython
Thesis Image 1Thesis Image 2