Projects

AI Engineering Playbook

Production-grade AI engineering from zero to deployed — a structured, hands-on curriculum across 10 sequential stages: async Python APIs, LLMs, RAG, multi-agent systems, evals, observability, and security guardrails. Pairs conceptual explanations with runnable, production-ready code (FastAPI, Anthropic SDK, pgvector, DeepEval, OpenTelemetry, Docker).

LLMs RAG Agents Evals Observability

LazyCommit CLI

An AI-powered CLI tool that automates Git workflows by analyzing code changes and generating commit messages, then executing add, commit, and push with a single command.

LLMs CLI

GemZ

A powerful Retrieval-Augmented Generation tool with GEPA integration for prompt optimization.

VectorDB GEPA

SherLock

An AI based platform to perform Root Cause Analysis (RCA) on system failures and anomalies based on telemetry data.

Hackathon

AI Engineering Playbook

LazyCommit CLI

GemZ

SherLock

Cooking