Senior Data + AI Engineer · Building production-grade data/ML/AI platforms from scratch.
I architect and ship end-to-end data infrastructure — from raw ingestion through medallion lakehouse, ML training, vector search, LLM agent orchestration, self-hosted Kubernetes, and production API serving.
Not glue code. Actual systems.
My flagship OSS project: a self-hosted Python framework for the Data + ML + AI engineering lifecycle.
One dex.yaml defines pipelines, models, agents, and observability — with native integrations for Airflow, MLflow, and LangChain when you need their specific capabilities.
CSV / S3 / API
↓ connectors + quality gates
Bronze → Silver → Gold (DuckDB / Parquet medallion lakehouse)
↓ ML training pipeline
Model Registry + Experiment Tracker + Drift Monitor
↓ LiteLLM / vLLM routing
AI Agents + RAG (Qdrant) + Langfuse tracing
↓ DexEngine (Python lib)
DEX Studio (FastAPI/Jinja2) · CareerDEX
↓ K3s · Helm · Terraform · Hetzner
| Repo | What it does | Status |
|---|---|---|
dataenginex ·  |
Core framework: config, CLI, ML registry, LLM routing, AI agents, DuckDB lakehouse — pure Python library | Production |
| dex-studio | B2B web UI — pipelines, warehouse, ML experiments, AI agents, SQL console (FastAPI/Jinja2 + HTMX) | Alpha |
| careerdex | B2C career AI — job matching, resume analysis, interview prep, application tracking | Alpha |
| infradex | IaC: K3s cluster, Helm charts (Authentik, Langfuse, Qdrant, Prometheus, Grafana, ArgoCD) | Alpha |
By the numbers: 1500+ tests · 80%+ coverage · mypy strict · Python 3.13+ · self-hosted on Hetzner K3s
Data & ML
AI / LLM
Platform & Infra
Cloud
A few things I'm actively working on:
- Port CareerDEX from Reflex to FastAPI/Jinja2 — align with dex-studio's stack so all components share templates, auth, and deployment
- MCP server — expose DataEngineX tools (pipeline run, SQL query, ML training) as Model Context Protocol endpoints for AI-assisted development
- More connectors — Kafka source/sink, Postgres replication, Delta Lake support
- dex-studio GA — authentication, multi-user workspaces, SSO, RBAC (the last big missing pieces before 1.0)
- Plugin system — third-party connectors and AI tools via a stable plugin API
Senior Data Engineer · AI/ML Platform Engineer · Open to new opportunities