AI Engineer | Data Platform Engineer
AI Engineer with 10+ years of experience building data platforms, ML systems, and AI-powered applications. Currently pursuing a Master’s degree in AI and Computer Engineering, with a research focus on LLM-assisted application and database optimization, automated query optimization, and database performance engineering.
- Build LLM-powered applications, RAG systems & AI agents
- Research LLM-assisted application and database optimization
- Design scalable data platforms and lakehouse architectures
- Develop end-to-end ML & data pipelines
- Productionize AI and data systems with cloud-native & DevOps practices
- Languages: Python, SQL, Java
- AI/ML: LLMs, RAG, AI Agents, MLOps, Vector DBs, PyTorch
- Data: Spark, Trino, Iceberg, Delta Lake, dbt, Airflow, Kafka
- Research: Query Rewriting, Code Generation, LLM-based Optimization, Query Optimization, Correctness Verification
- Cloud & Infra: GCP, AWS, Docker, Kubernetes, CI/CD, Terraform, Pulumi
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AI Body Weight Assistant — Multi-agent AI system built with ADK + Gemini, featuring orchestration and human-in-the-loop workflows.
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RAG Running Coach — Retrieval-based AI application with an evaluation pipeline.
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Small Language Model — Transformer-based language model with Rust inference and ONNX optimization.
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Data Platform (OSS) — Lakehouse platform using Iceberg + Trino with Kubernetes autoscaling via KEDA.
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Thailand Air Quality Insights — End-to-end GCP data platform using Airflow, dbt, and BigQuery for PM2.5 analytics.
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E-commerce Pipeline — Medallion architecture with production-oriented data modeling.
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Churn Prediction — ML system with FastAPI inference and containerized deployment.
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Face Recognition — Deep learning system using embedding-based inference.
- LinkedIn: https://linkedin.com/in/dannykhant
- Email: dannypmkhant@gmail.com