Writing & Case Studies
Notes from shipping AI in production.
Long-form case studies and guides on RAG, LLM agents, MLOps, and the platform work that makes them reliable at scale.
- Case study9 min read
Case Study: Lifting Payment Success Rates 15% with AI-Driven Routing
How we built an ML-based transaction routing engine at Payism Global — architecture, feature store, online inference, and the guardrails that kept it safe in production.
Read → - Case study11 min read
Case Study: A Production RAG Platform Serving 10k+ Enterprise Documents
Chunking strategy, hybrid retrieval, reranking, evaluation harness, and cost controls behind an enterprise document intelligence platform used by knowledge workers daily.
Read → - Guide14 min read
RAG Architecture: A Production Blueprint for LLM Retrieval Systems
Ingestion, chunking, embeddings, vector search, reranking, prompt assembly, evaluation, and observability — the pieces every production RAG system needs.
Read → - Essay8 min read
How to Build an AI/ML Engineer Portfolio That Actually Gets You Hired
The structure, projects, and proof points hiring managers look for when reviewing AI/ML portfolios in 2026.
Read → - Essay6 min read
How Many Projects Should an AI/ML Portfolio Have?
The signal-to-noise trade-off between breadth and depth, and how to pick the right number of projects for your target roles.
Read → - Essay7 min read
Do Portfolios Actually Get You Hired as an AI/ML Engineer?
What portfolios do and don't do in the hiring funnel — with data-driven advice on where to invest your time.
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