I'm a Software Engineer interested in building systems at the intersection of AI, data, and backend infrastructure.

My work focuses on:

• AI Engineering — LLM applications, RAG, AI agents, and model-powered products
• Data Systems — ETL pipelines, analytics platforms, data processing, and MLOps
• Backend & Infrastructure — APIs, databases, containers, observability, and cloud-native systems

I enjoy taking a problem from data ingestion → backend services → AI workflows → observability → user-facing products and turning it into a complete, maintainable system.

Building practical AI systems rather than isolated model demos.

• LLM applications and AI-powered products
• RAG pipelines and vector search
• AI agents and tool-based workflows
• LLM inference, evaluation, and observability

Designing pipelines that transform raw data into useful products and insights.

• Data ingestion and ETL
• Analytics pipelines
• MLOps and model workflows
• Data platforms and automation

Building the foundation that makes applications reliable and operational.

• Backend APIs and service architecture
• PostgreSQL and data storage
• Docker and containerized applications
• Monitoring and observability
• Cloud and automation

An AI-powered engineering knowledge platform for discovering, searching, summarizing, and organizing technical content.

Highlights: AI-powered search · Summarization · Topic classification · Bookmarking

Tech: React Cloudflare Workers Workers AI D1 R2 GitHub Actions

A knowledge retrieval platform for ArXiv papers, combining automated ingestion, hybrid search, vector retrieval, and RAG to make technical research easier to explore.

🏆 Selected for the 17th iThome Ironman Contest — 2025 Excellence Award

Highlights: Data ingestion · Hybrid retrieval · Vector search · RAG · LLM · Observability

Tech: FastAPI Prefect Qdrant PostgreSQL MinIO Ollama React Prometheus Grafana

An end-to-end MLOps platform for stock price prediction, covering data pipelines, training, experiment tracking, inference, deployment, and monitoring.

Highlights: ETL · Model training · Experiment tracking · Inference · Monitoring

Tech: Prefect MLflow FastAPI PostgreSQL ClickHouse Prometheus Grafana Docker

A data engineering pipeline that processes GitHub activity data and transforms it into analytics insights.

Highlights: Data ingestion · Workflow orchestration · BigQuery analytics · Dashboard

Tech: Python Airflow BigQuery GCP Terraform Streamlit

MATLAB

LLM RAG Ollama Hugging Face MLflow Qdrant

ClickHouse Qdrant

Airflow Prefect BigQuery ETL Data Pipelines

Langfuse

• AWS Certified Cloud Practitioner· Amazon
• Associate Data Practitioner Certification· Google
• Google AI Professional Certificate· Coursera
• Ultimate AWS Certified Solutions Architect Associate 2026 · udemy

• MLOps Zoomcamp · DataTalks Club
• Data Engineering Zoomcamp · DataTalks Club
• LLM Zoomcamp · DataTalks Club

• Generative Adversarial Networks (GANs) Specialization · Coursera
• Google Data Analytics · Coursera
• Data Science Fundamentals with Python and SQL Specialization · Coursera
• Accelerated Computer Science Fundamentals Specialization · Coursera

• Deep Learning Specialization · Coursera
• Python for Everybody Specialization · Coursera