Skip to content
View zhu-weijie's full-sized avatar

Block or report zhu-weijie

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
zhu-weijie/README.md

Hi there, I'm Zhu Weijie 👋

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.


Recent Projects & Explorations

FastAPI, React

  • 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.
  • Axiom-Quant: 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.

Database

  • 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.

Microservices

LangGraph, LangMem

MLOps

Other


Top Langs

Pinned Loading

  1. alpha-dash Public

    🧮A full-stack financial portfolio tracker and analyzer, demonstrating advanced backend services, data integration, and dynamic frontend visualization.

    Python

  2. chariot-data-pipeline Public

    🧮"Chariot": A database migration project featuring a concurrent, parallel-processing ETL framework to transfer and aggregate data from MySQL to PostgreSQL and Neo4j.

    Python

  3. ficc-pricer-stream Public

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

    Python

  4. memex-ai Public

    🧮An AI research assistant with persistent memory, powered by Python and LangGraph.

    Python

  5. langgraph-autopilot Public

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

    Python

  6. creator-pulse Public

    🧮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.

    Python