Path 03 · full reference map
Production AI & Data Platforms
Applied RAG, agents, evaluation, Spark, Delta Lake, MLflow, and data systems assembled into production-grade architectures.
Prior practice · disclosed carefully
I am not starting this path at zero.
These claims come from résumé-backed work. They are intentionally generalized, so the site shows what I have applied without inventing public artifacts or exposing private systems.
EvalOps
Building an open-source evaluation-operations platform around Delta Lake, MLflow, RAGAS, and Langfuse.
Data pipelines
Built streaming and analytical pipelines using Apache Beam, ClickHouse, PostgreSQL, and event-driven infrastructure.
Applied AI
Integrated multimodal AI into a production workflow, cutting a manual operational process from minutes to near-real-time.
Published progress
18%10 of 56 topics complete · updated with each site release
Weeks 01-02
RAG architecture
Build retrieval end to end and compare the choices empirically.
Week 03
Spark and Delta Lake
Add the data-engineering substrate behind AI applications.
Week 04
Stateful agents
Build tool-using workflows with explicit state and failure handling.
Week 05
Evaluation platform
Generalize evaluation into reusable infrastructure.
Week 06
Multi-agent and MCP
Study orchestration, specialization, and protocol boundaries.
Weeks 07-08
Latency and cost
Optimize the application path with evidence.
Weeks 09-12
Capstone platform
Join data, retrieval, evaluation, and operations in one system.