Professional Overview
I have 5+ years of product management experience in startups and scaleups across enterprise AI (L4 autonomous driving in container ports), B2C insurtech e-commerce, and mobile game discovery.I recently completed a Master of Computer Science in Data Science at the University of Illinois Urbana-Champaign. I'm also working independently on two side projects. One using agentic AI in nutrition to recommend personalised diets and meal plans, and another exploring a behavioural sensing and well-being dataset to build ML models.Currently, I’m contributing part-time to an early-stage health AI startup building an LLM-based assistant for online health retailers to guide consumers on product information. My work focuses on leading the 0 to 1 product efforts for a backend platform to power the assistant using retrieval-augmented generation (RAG). I’m now looking for a full-time role where I can continue building AI products in a more sustained capacity.
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
