"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."
I spend my days teaching AI agents to handle the works people hate doing manually.
Student of Information System (Bachelor's degree)
Former engineer at VNG Corporation; McKinsey & Company
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.
I help small and medium businesses use technology to save time, cut costs, and grow ā without the enterprise price tag.
Develop fast, modern websites and hand them over so your team can manage them effortlessly.
Build solutions to automate the repetitive work ā reporting, data entry, customer queries ā so your team focuses on what matters.
Audit your setup, simplify what's overcomplicated, and help you scale without surprise bills.
Turn scattered spreadsheets into clear dashboards your team can use to make decisions.
Not sure which one you need? Just reach out ā I'll tell you honestly what would help most.
Replaced manual enterprise banking use cases with multi-agent workflows (Python + LangGraph, Azure). Built C# integration for Microsoft Teams with chat to work with the agents, real-time voice assistance during meetings to handle queries.
Built ML-driven web app (AngularJS + Python FastAPI + Azure Synapse) for F&B pricing optimization. Handled ~100M data records with optimized querying for real-time pricing decisions.
Architected secure multi-tenant AKS solution with GitHub Actions + Terraform. Automated provisioning for 50-100 microservices with RBAC, auto-scaling, and high availability.
Developed scalable backend (NestJS + GraphQL) for cloud cost management across multiple providers.
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.
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.
Let's bring your next big idea to life. From designing scalable systems and leading engineering teams to streamlining complex workflows, Iām here to make it happen.
Email me at quanhglam@gmail.com - click to copy.