I'm a Senior Software Engineer based in Singapore with over a decade of experience architecting and developing robust, scalable, and high-performance software solutions.

My core expertise lies in Python and C++ for backend systems, API development, and full-stack applications. I'm passionate about leveraging modern technologies and best practices – including microservices, cloud platforms (AWS/GCP), Docker, Kubernetes, CI/CD, and Agile methodologies – to solve complex problems and deliver impactful products.

I look for opportunities to build impactful products and solve complex problems.

• Alpha-Dash: Full-Stack Financial Data & Portfolio Platform
  • An end-to-end web application built with Python (FastAPI), React/TypeScript, PostgreSQL, Redis, and Celery. Features data integration from financial APIs, portfolio valuation, background data refresh tasks, and CI/CD with GitHub Actions. Demonstrates full-stack development, system architecture, and DevOps practices.

• FICC-Pricer-Stream: A simulated real-time FICC pricing pipeline
  • A simulated real-time FICC pricing pipeline built with Python, Docker, and Redis to demonstrate a distributed microservice architecture.

• Memex-AI: An AI research assistant with persistent memory

  • A command-line research assistant that overcomes the limitations of stateless chatbots. It uses a persistent SQLite backend to remember your conversation history across sessions and an in-memory store to recall key facts during a live session.

• Langgraph-Autopilot: A LangGraph-based autonomous agent framework

  • An autonomous software engineering agent that reads GitHub issues, analyzes codebases, and writes and submits code changes to resolve them.

• Infer-Net: Dockerized Image Classification API & MLOps Demo

  • A machine learning application serving an image classification model (TensorFlow/Keras) via a Python (FastAPI) RESTful API, containerized with Docker. Highlights experience with ML model deployment, API development for inference, and MLOps principles.

• Creator-Pulse: A MLOps platform for AI-powered content creation

  • An end-to-end MLOps project for real-time YouTube sentiment analysis. Powers a Chrome Extension via a Flask API, deployed on AWS with full CI/CD.

• LLM-Tool-Harness: A framework for testing and evaluating LLM tools

  • A Python library to easily build LLM agents with tool-using capabilities, allowing them to interact with external systems and perform actions.

• Refine-Extension: A customizable web-filtering Chrome Extension

  • Refine is a lightweight and powerful browser extension that helps you clean up your web browsing experience. It allows you to create custom blocklists to hide unwanted content from job boards and other websites, letting you focus on what truly matters.