As an early engineer at a Y Combinator backed AI startup, I build scalable web-based AI content generation tools from scratch with a bias for fast delivery.
Lead Software Engineer, Hypotenuse AI (YC Summer '20)
Jan, 2021 - Present
Leading the development of an AI content generation platform for e-commerce brands.
Developed and maintained full-stack web applications using FastAPI and React.
Designed & built
Established engineering best practices for the team and mentored junior engineers.
Computer Vision Engineer, Qritive
Oct, 2018 - Dec, 20182 months
Developed Object Detection and Instance Segmentation models for use on gigapixel-scale medical images
Technologies: Python, Keras, TensorFlow, OpenCV, OpenSlide
Computer Vision Engineer, Red Dot Robotics
May, 2018 - Sep, 20184 months
Developed real-time Object Detection and Tracking models for deployment on autonomous vehicles
Technologies: Python, Keras, TensorFlow, OpenCV
AI-Augmented Pathology Research Platform
- Present
Final Year Project in collaboration with Qritive
Engineered a computer vision model training & inference pipeline to handle very large (1-10 gigapixel) pathology images
Designed and built a for pathology image analysis
Technologies: Python, PyTorch, OpenCV, OpenSlide
Generative AI
Large Language Models (LLMs)
Diffusion Models
PyTorch
Vector Databases
Retrieval-augmented generation (RAG)
Python
TypeScript
JavaScript
Rust
Go
React.js
Next.js
FastAPI
DynamoDB
Redis
PostgreSQL
ElasticSearch
Git
Docker
OpenTelemetry
Grafana
Elastic Beanstalk
DynamoDB
S3
AWS ECS
Lambda
Computer Science, Bachelor of Engineering, Singapore University of technology and Design (SUTD)
- Sep, 2020