As an early engineer at a Y Combinator backed Generative 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 scalable AI-powered content generation tools for e-commerce brands.
Developed and maintained full-stack applications using React and Node.js.
Implemented microservices architecture to improve system scalability.
Mentored junior developers and conducted code reviews.
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
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
Built 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