Cloud and platform architecture
AWS Lambda, API Gateway, S3, RDS, DynamoDB, Linux, Docker, Kubernetes, and CI/CD workflows for systems that need clear deployment and operating models.
Full-Stack Engineering
Cloud, Data, and Product Systems
I build beyond the visible interface: product UI, backend APIs, data pipelines, cloud infrastructure, deployment workflows, and the optimization work needed to make the whole system dependable. I like understanding each layer deeply enough to debug tradeoffs and improve the system instead of just wiring a demo together.
What I Build
Data platforms and backend services
ETL pipelines, relational models, REST APIs, serverless services, ingestion jobs, and data-quality work that make product workflows trustworthy.
Optimization and reliability
Query optimization, data consistency fixes, deployment validation, runbooks, latency measurement, and debugging across product and infrastructure boundaries.
Representative Systems
Pinnacle live enrollment platform
Serverless microservices and a responsive course-planning platform for live enrollment data across 100+ institutions and 100K+ courses.
APAC cloud workflow and data consistency systems
AWS Lambda/API Gateway workflow tools, Salesforce SOQL and metadata optimization, real-time Twilio/SNS notifications, and classifier-backed recommendations.
Mission Cloud deployment automation
Reusable CloudFormation templates, Lambda/API Gateway/DynamoDB prototypes, CI/CD validation, and repeatable AWS runbooks for client environments.
Related Pages
The projects page includes live demos, source links, and smaller experiments. The AI engineering page highlights LLM and automation systems in more detail.