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A practical guide to building AI products end-to-end. You'll learn how to choose models based on product constraints, decide when fine-tuning is worth it, evaluate with real metrics, and build an agent that works in production. This project is in progress; chapters and code will land in stages.
PM skill for Claude Code, Codex, Cursor, and Windsurf: diagnose SaaS metrics, critique PRDs, plan roadmaps, run discovery, and coach PM career transitions.
Build an AI communication analyzer from scratch to understand how AI products actually work. Learn prompt engineering, reasoning pipelines, and local LLM integration using Node.js - no frameworks, no abstractions, just fundamentals
MeetlyAI is an AI-powered meeting intelligence platform built with FastAPI and React that uses Google Gemini to extract summaries, key decisions, and action items from meeting transcripts. Docker-ready and production-focused.
Agentic AI prototype for commercial decision intelligence in life sciences — translating market signals into competitive, strategic, and regulatory recommendations in real time.
Train GPT to speak your brand’s language. A structured framework that teaches LLMs how to match tone, style, and messaging — using persona anchors, prompt chaining, and calibration examples.
An explainable AI–powered Applicant Tracking System (ATS) designed to intelligently match resumes with job descriptions while providing transparent, interpretable insights into the matching process.