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MLaitarovsky/README.md 

I represented Israel in the 100m backstroke at the Tokyo 2020 Olympics.
Now I build production-grade full-stack software.
Same discipline. Different arena.

About Me

Israeli Olympic swimmer turned software developer. I competed at the Tokyo 2020 Olympic Games, trained with the Israeli National Team, served in the IDF, and then earned my B.S. in Computer Information Systems from the University of South Carolina (2025).

I bring the same mindset to code that I brought to competition — obsessive preparation, performing under pressure, and relentless iteration. Currently building portfolio-grade full-stack applications while training for the LA 2028 Olympic Games.

🔨 What I'm Building

FlowForge — Visual AI Agent Orchestration Platform ⭐ Capstone

Drag-and-drop platform for designing, executing, and monitoring multi-step AI pipelines in real-time. BYOK architecture, DAG execution engine, and pre-built workflow templates for legal analysis, research, and sales intelligence.

Next.js 14 TypeScript React Flow Zustand BullMQ Redis PostgreSQL Prisma ChromaDB Claude API OpenAI SSE Docker

Highlights:

  • Visual node-based canvas with 10 AI operation nodes (LLM, RAG, chunking, structured extraction)
  • DAG execution engine with topological sort and parallel branch execution
  • BYOK (Bring Your Own Key) with AES-256 encrypted API key storage
  • Real-time execution monitoring via SSE — watch nodes light up as pipelines run
  • Demo mode with pre-computed results for instant showcase
  • 3 workflow templates: Legal Document Analyzer, Research Assistant, Sales Intelligence Brief

DocPilot — AI Contract Review Platform

Upload contracts and get instant AI-extracted key terms, risk flags, and side-by-side comparisons.

Next.js FastAPI PostgreSQL Celery Redis OpenAI API Docker

Highlights:

  • AI parsing pipeline: PDF → chunking → LLM extraction with retry logic
  • Async job queue with real-time SSE progress streaming
  • Side-by-side contract diff view
  • Multi-tenant auth with JWT + RBAC

PulseBoard — Live Metrics & Incident Dashboard

Real-time operational dashboard with WebSocket streaming, collaborative cursors, and D3.js visualizations.

Next.js TypeScript Node.js Socket.IO PostgreSQL Redis D3.js Docker

Highlights:

  • WebSocket-powered live data streaming via Socket.IO
  • Webhook ingestion engine (GitHub, Sentry, uptime)
  • Interactive D3.js zoomable timeline
  • Incident lifecycle state machine with post-mortems
Earlier Projects

Olympic Swimmer Career Tracker

Multi-Agent AI system that scrapes data and uses LLMs to match former athletes with career opportunities.

Python CrewAI Docker Web Scraping

SWVL

AI-powered camera gimbal with real-time face-tracking and gesture control.

Python AI/ML Computer Vision

💻 Tech Stack

Languages

TypeScript JavaScript Python Java

Frontend

React Next.js React Flow Tailwind D3.js Zustand

Backend & Data

Node.js Express FastAPI BullMQ PostgreSQL Prisma Redis Socket.IO

AI & ML

Claude API OpenAI ChromaDB LangChain

Infrastructure & Tools

Docker GitHub Actions AWS Vercel Railway Git

📊 GitHub Activity

GitHub Streak

Profile Details
Building software with the same discipline that got me to the Olympics.

Pinned Loading

  1. swimmer-agents swimmer-agents Public

    AI Agents system using CrewAI to identify former elite swimmers in key tech positions.

    Python

  2. SWVL SWVL Public

    SWVL: An AI-powered camera gimbal with face-tracking and gesture control.

    Python

  3. auto-procure auto-procure Public

    Autonomous Supply Chain Agent | Full-Stack AI System that monitors inventory and drafts orders with Human-in-the-Loop approval. Built with Next.js, FastAPI, CrewAI & Supabase.

    TypeScript

  4. docpilot docpilot Public

    AI-powered contract review platform - upload PDFs, extract key fields with GPT-4o, flag risky clauses, and compare contracts side-by-side.

    TypeScript 1