Quan Lam
"An engineer who believes in continuous growth. Every challenge is a chance to learn, every project is an opportunity to improve, and every line of code is a step toward mastery."

An engineer by trade, a Google wizard by necessity.

Full-stack engineer with a passion for automation and simplicity. I turn complex problems into elegant solutions.

šŸŽ“ My Foundation
šŸ«

University of Information Technology (VNU)

Student of Information System (Bachelor's degree)

šŸ’¼

Professional Experience

Former engineer at VNG Corporation; McKinsey & Company

šŸ’» My Tech Evolution

I'm a versatile engineer who's explored many areas of technology - from machine learning and AI to frontend development, backend systems, DevOps, and data engineering. While I'm most confident with Python and backend development, I embrace the breadth of experience as a strength that helps me see the bigger picture and build better solutions.

Python Backend Development React TypeScript Azure & Kubernetes Machine Learning DevOps Data Engineering
⚔ What Sets Me Apart
šŸ”§

Automation Enthusiast

Love scripting and automating everything - from deployment pipelines to smart home systems

šŸ”

Debug Master

Excel at troubleshooting and finding root causes in complex systems

🌐

Full-Stack Versatility

Experience across ML, AI, Frontend, Backend, DevOps, and Data Engineering

šŸ› ļø What I've Built Recently

AI-Powered Pricing Optimization Platform

Built ML-driven web app (AngularJS + Python FastAPI + Azure Synapse) for F&B pricing optimization. Handled ~100M records with optimized querying for real-time pricing decisions.

Machine Learning Azure Synapse FastAPI

Enterprise Kubernetes CI/CD Framework

Architected secure multi-tenant AKS solution with GitHub Actions + Terraform. Automated provisioning for 50-100 microservices with RBAC, auto-scaling, and high availability.

Kubernetes Terraform DevOps

Multi-Cloud FinOps Platform

Developed scalable backend (NestJS + GraphQL) for cloud cost management across multiple providers. Built automated cost aggregation with RabbitMQ for analytical dashboards.

GraphQL Multi-Cloud Cost Optimization

Scalable Game Data Pipeline

Built self-service ETL platform (Python + Spark + Kafka) processing game logs from multiple products. Optimized data lake (HDFS/S3) and warehouses for growing data volumes.

Apache Spark Kafka Data Engineering
šŸ“š Research & Publications
arXiv

UIT-ViIC: A Dataset for the First Evaluation on Vietnamese Image Captioning

Quan Hoang Lam, Quang Duy Le, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen

First Vietnamese image captioning dataset with 19,250 captions for 3,850 images. Published research combining computer vision, NLP, and machine learning for Vietnamese language processing.

Computer Vision NLP Vietnamese Language Deep Learning
šŸ“¬ Let's Build Something Amazing

Let's bring your next big idea to life. From designing scalable systems and leading engineering teams to streamlining complex workflows, I’m here to make it happen.

Email me at quanhglam@gmail.com - click to copy.