I am an engineer driven by a commitment to continuous learning and solving complex technical challenges through hands-on project development. I specialize in architecting end-to-end data pipelines, deploying self-improving agentic workflows, and building robust cloud infrastructure to scale AI solutions.
Data Engineering & Backend
AI & Machine Learning
Cloud, DevOps & CI/CD
- 🤖 SEC EDGAR Financial RAG Chatbot
- A multi-agent Retrieval-Augmented Generation (RAG) system processing 100+ page 10-K filings using a HuggingFace Cross-Encoder.
- Features a robust GitHub Actions CI/CD pipeline automating
uvbuilds,Rufflinting,Banditsecurity scans, andDockerdeployments to GHCR.
- 📈 S&P500 Stock Data Engineering Pipeline
- An end-to-end batch data pipeline built with PySpark, Airflow, BigQuery, and Terraform to process and warehouse external API stock data.
- 🧾 Automated Receipt Information Extraction
- Engineered a computer vision pipeline utilizing YOLOv11 and Azure Document Intelligence OCR with custom Non-Maximum Suppression (NMS) ensembling.
- 🗣️ Low-Resource Thai Profanity Detection
- Fine-tuned a Wav2Vec2.0 NLP transformer achieving a 90.7% recall rate, deployed via a highly scalable Node.js API for real-time inference.
- LLM Zoomcamp 2026 (Generative AI & LLMOps)
- Data Engineering Zoomcamp
- Prompt Engineering
- AWS Academy Cloud Foundations
- Databricks Fundamentals
- WorldQuant Brain Gold Level (Quantitative Finance & Modeling)
