The Practical Guide to Self-Hosting Web Applications on Hetzner VPS with Dokploy
A comprehensive hands-on guide to deploying web apps with a low-cost and simple self-managed solution.
Hi there
My Name's
Jack Lee Jian Ming
An ML Engineer | Data Scientist with 5+ years of experience in developing cutting-edge AI solutions in the Healthcare industry.
Expertise
How I Can Help You
Bringing innovative technology, strategic insights and industry best practices to solve your unique business problems
GenAI-powered Application
Developing advanced RAG systems, with commercial or open-source LLMs, for complex data validation, classification, and information retrieval.
End-to-End ML Pipeline
Designing comprehensive machine learning workflows from data processing to model deployment, ensuring robust and scalable solutions that drive actionable insights.
Data Pipeline Engineering
Constructing efficient data pipelines to seamlessly integrate, clean, and warehouse data from diverse sources with optimal performance.
API & Backend Development
Building high-performance RESTful APIs with asynchronous design and caching layer to optimize response times and system efficiency.
Performance Optimization
Leveraging advanced techniques such as Concurrency and Parallel Computing to accelerate I/O-bound and Compute-bound workflows.
Production-Ready Deployment
Containerizing applications with Docker for seamless, reproducible deployments across development and production environments.
Skills at a glance
What I Bring To The Table
Turning ideas into scalable solutions with a versatile tech stack
Explore My SkillsMachine Learning
PyTorch
NumPy
Data Engineering
Airflow
Apache Spark
PostgreSQL
MongoDB
Neo4j
Backend Development
Python
Git
VS Code
FastAPI
AWS
GCP
Professional Experience
ML Consultant
Freelance
March 2021 - Present
- Provided strategic consulting on ML lifecycle management, data governance, and deployment strategies for clients.
- Designed and delivered expert workshops on ML infrastructure, platform development, and operational best practices.
Data Scientist
AMILI Pte Ltd, Singapore
Feb 2022 - Nov 2023
- Architected and developed core components of a knowledge graph platform delivering personalized healthcare insights using advanced ML techniques.
- Engineered scalable MLOps infrastructure in collaboration with DevOps and Data Engineering teams.
- Created and deployed efficient data pipelines to web-scrape, wrangle and manage heterogeneous healthcare/wellness data.
- Implemented advanced NLP solutions using commercial and open-source LLMs (ChatGPT, Zephyr, Llama) for data validation and classification.
- Led intern team in developing NLP and Computer Vision capabilities, driving platform innovation and knowledge transfer.
Data Scientist
NovaGlobal Pte Ltd, Singapore
March 2019 - Sep 2020
- Developed end-to-end ML pipelines for advanced computer vision applications in medical imaging domain.
- Collaborated with NVIDIA to integrate novel organ models into Clara ML Pipeline using RESTful API architectures.
- Conducted technical workshops showcasing NVIDIA RAPIDS and Clara platform capabilities to prospective clients.
- Partnered with Microsoft to create a bibliometric Power BI dashboard using Microsoft Academic Graph dataset.
Data Analyst
Alterquo Sdn Bhd, Malaysia
March 2018 - Feb 2019
- Collaborated with NUHS researchers to develop ML-driven patient stratification model using XGBoost for cardiovascular disease prediction.
- Performed comprehensive data cleaning, statistical analysis, and predictive modeling on anonymized healthcare patient datasets.
Education
Master of Science (MSc) in Bioinformatics
Perdana University, Malaysia
2018 - 2021
Bachelor of Science (BSc) in Biotechnology (Hons)
UCSI University, Malaysia
2015 - 2018
Portfolio
View all projects »
Dockerized App for Synthetic Patient Data Generation
A dockerized application that generates synthetic healthcare data derived from real-world statistical distributions.
Blog
View all posts »
Supercharging Medication NER with Local LLM and Two-Stage Retrieval RAG
Leveraging Local LLM to extract medical-related entities from unstructured prescription text with an advanced RAG architecture.