Hi, I’m Danny

Data & Platform Engineer (10+ years)
I build scalable data platforms, production ML systems, and AI-powered applications across banking, FMCG, and SMEs.

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What I Do

• Design lakehouse & distributed data systems
• Build end-to-end data pipelines (batch & streaming)
• Develop ML & LLM-powered applications (RAG, agents)
• Productionize systems with cloud-native & DevOps practices

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Tech Stack

• Languages: SQL, Python, Java, Rust
• Data: Lakehouse, Medallion, Spark/Trino, BigQuery, Iceberg, dbt, Airflow, CDC, Data Quality
• ML/AI: MLOps, RAG, LLMs, Vector DBs
• Infra: Docker, Kubernetes, CI/CD, IaC, Cloud

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Selected Projects

• Thailand Air Quality Insights
  End-to-end GCP pipeline (Airflow + dbt + BigQuery) for PM2.5 analytics with data quality checks and BI-ready marts.

• E-commerce Pipeline
  Medallion architecture with production-grade data modeling.

• Weather Pipeline
  DAG-based ingestion pipeline into a cloud warehouse.

• Churn Prediction
  ML system with FastAPI inference + containerized deployment.

• Face Recognition
  Deep learning system with embedding-based inference and model optimization.

• Small Language Model
  Transformer + Rust inference + ONNX optimization.

• Data Platform (OSS)
  Lakehouse platform with Iceberg + Trino, autoscaled via KEDA.

• RAG Running Coach
  Retrieval-based AI system with evaluation pipeline.

• AI Body Weight Assistant
  Multi-agent AI system (ADK + Gemini) with orchestrator pattern, human-in-the-loop workflow, and personalized fitness planning.

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Contact

• LinkedIn: https://linkedin.com/in/dannykhant
• Email: dannypmkhant@gmail.com