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.

• AlphaDash: 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.

• AxiomQuant: A Quantitative Research Platform

  • An end-to-end Python application designed to simulate, test, and analyze quantitative trading strategies for the equity markets. It provides a complete, containerized environment for repeatable research, from automated data ingestion pipelines to sophisticated performance analytics. Built with CI/CD, containerization, and comprehensive testing.

• Chariot: A Database Migration Pipeline
  • A pipeline reliably transfers and aggregates data from a source database (MySQL) to multiple, disparate destinations (PostgreSQL and Neo4j) using a concurrent and parallel-processing framework.

• FICCPricerStream: 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.

• CogniGraph: A Multi-Tenant AI-Powered Knowledge Assistant

  • A scalable, multi-tenant AI platform designed for enterprise clients to securely upload private documents (PDFs) and query them using natural language. The system leverages a powerful combination of Retrieval-Augmented Generation (RAG) and a Knowledge Graph (KG) to provide accurate, cited, and context-aware answers through an intelligent AI agent.

• AegisAI: An AI-powered cybersecurity application for phishing triage and threat intelligence correlation

  • Aegis AI is application of modern AI/ML techniques to solve real-world problems in Cyber Data Risk & Resilience. It provides an API-driven platform to automate the analysis of potential threats, reducing manual toil for security analysts and enabling faster response times.

• AuraClinicalAnalytics: An AI-powered, event-driven system for real-time patient risk prediction

  • AURA is a comprehensive, event-driven AI system built to demonstrate a realistic healthcare use case. It simulates a stream of clinical data, processes it through a Kafka pipeline, makes predictions using both a traditional ML model and a generative LLM, and visualizes the results in a monitoring dashboard.

• MemexAI: 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.

• LanggraphAutopilot: 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.

• EmbeddingStudio: A cloud-native FastAPI application for text processing and semantic search, featuring AWS Bedrock for embedding generation.

  • A cloud-native FastAPI application for text processing and semantic search, featuring AWS Bedrock for embedding generation. It is deployed on AWS ECS with a complete CI/CD pipeline using GitHub Actions and Terraform for Infrastructure as Code.

• InferNet: 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.

• CreatorPulse: 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.

These are projects that combine three of the most powerful trends in modern software design: Architecture-as-Code (AaC), Diagrams-as-Code (using Mermaid), and Issue-Driven Development (IDD). By insisting that every architectural change starts as an issue with a clear Problem, Solution, and Trade-offs section, these projects are designed in a highly disciplined form of Evolutionary Architecture.

• Design: Pulse Analytics Implementation: Pulse Analytics

  • A modern data pipelines on AWS, designed via Architecture-as-Code. Powers BI dashboards and a data catalog using a portable, containerized stack with Airflow, Spark, and Redshift.

• Medical Claims System

  • System architecture for MedClaim-Assure, a highly scalable medical claims processing application.

• Patient Notification System

  • A resilient, cloud-native patient notification system designed using the Issue-Driven Architecture-as-Code (AaC) process. Built on Kubernetes for high portability.

• LLMToolHarness: 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.

• RepoToTextAI: A tool to convert repository to text

  • Turn an entire Git repository into a single, organized text file designed for providing context to Large Language Models (LLMs).

• 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.

• AlembicCloudMigrator: FastAPI + Alembic on ECS Fargate

  • A minimal but complete Proof-of-Concept (PoC) demonstrating how to automatically run Alembic database migrations at container startup for a FastAPI application deployed on AWS ECS Fargate.