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GeorgeShani/README.md

Giorgi Shanidze

Full-stack engineer. I ship production web apps end-to-end, then put AI agents to work inside them.

TypeScript and C# across the stack: Next.js and React on the front, ASP.NET Core and Node (Express, and NestJS in progress) on the back, with a growing amount of LangGraph, RAG, and n8n wiring in between. Computer Science @ Tbilisi State University · building real client software from Tbilisi, Georgia 🇬🇪

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About

I'm a Computer Science student who spends most of his time shipping software that other people actually use: client sites, hackathon products, and internal tools, not just coursework. I work across the whole stack: designing REST APIs and data models, building interfaces in React and Next.js (which I also lean on as a full-stack framework), and keeping systems clean enough to change later. I care about clean architecture on whichever side of the stack I'm working. Lately I've been pulling AI agents into that work, from a LangGraph travel planner with human-in-the-loop control to n8n automation pipelines behind a rental platform.

I like problems where product thinking and engineering meet: figuring out what to build, then building it in a way I won't regret in six months. Currently in the HIGGS AI Talent Club, deepening applied ML and LLM engineering.

  • 🔭 Shipping full-stack apps for real clients, plus a three-sided marketplace and a mood-tracking app
  • 🌱 Going deeper on AI agents, RAG systems, and clean backend architecture at scale
  • 🗣️ Georgian (native) · English (professional) · Russian (professional)
  • 💬 Ask me about ASP.NET Core, Next.js, agentic workflows, or how to design an API you can live with

Featured Projects

🏠 SakhliAI: behavior-based flatmate matching + autopilot rentals

Finding student housing in Georgia usually means scrolling Facebook groups and gambling on a stranger. SakhliAI scores compatibility on what actually causes flatmate conflict (sleep schedule, cleanliness, budget, lifestyle), then hands the tedious parts (bill-splitting, house rules, lease prep, channel sync) to an AI agent. For landlords, it's a control center that runs hybrid short-/long-term rentals on autopilot.

Stack: React 19 · TanStack Start (SSR) · Tailwind v4 · shadcn/ui · Supabase (Auth, Postgres + RLS, Realtime) · n8n agentic workflows · bilingual EN/KA • Why it's interesting: the automation is a visible character in the UI. A live agent-activity feed surfaces every decision the system makes. Built at the Nakadi Hub Vibe Coding Hackathon. • Links: Repo · Live demo

🧭 Global Explorer: autonomous travel strategist

An AI agent that plans real trips end-to-end and knows when to ask a human before committing. Built on a cyclical LangGraph state machine that reasons over requirements, calls real-world tools for live data, and pauses for approval before finalizing an itinerary.

Stack: Python · LangGraph · Google Gemini 2.5 Flash · human-in-the-loop interrupts · MemorySaver for cross-thread state · tool integrations (DuckDuckGo, Wikipedia, Open-Meteo, Nager.Date) • Why it's interesting: it's a genuine agent architecture (reason → act → verify) with real safety rails, not a single prompt. Built during the HIGGS AI Agents course. • Links: Repo · Video demo

🎨 ArtUnion API: production-grade C# backend

A full ASP.NET Core Web API connecting artists and critics: portfolios, artwork uploads, professional criticism, follows, and role-based admin. The project I point to for backend depth on a real, multi-role service.

Stack: ASP.NET Core · Entity Framework Core · JWT auth · Hangfire background jobs · AWS RDS + S3 · Repository pattern · AutoMapper · FluentValidation · pagination • Why it's interesting: it's structured the way a maintainable service should be, with clear layering, validation at the edges, background processing, and cloud storage, rather than everything crammed into controllers. • Links: Repo

🚀 Chakrulo: space biology knowledge engine

Built for the NASA Space Apps Challenge 2025. Two halves: a Next.js app for astronaut-style health assessment and space-biology education, and a fully offline RAG assistant grounded in 33+ space-medicine research papers running a local LLM.

Stack: Next.js (frontend) · Python RAG pipeline · vector database · Ollama (local LLM) · authentication + health questionnaire flow • Why it's interesting: the RAG side runs entirely offline. A deliberate constraint that forced real retrieval engineering instead of leaning on a hosted API. • Links: Repo

🩺 Dr. Koba Sakhechidze: multilingual medical CMS (shipped client work)

A production portfolio and blog platform for a practicing surgeon, with a role-based CMS, draft/publish workflows, live preview, and one-click AI localization across Georgian, English, Hebrew, and Arabic. Optimized with static generation, lazy loading, and CDN asset delivery.

Stack: Next.js · Payload CMS · PostgreSQL · Cloudflare R2 · Framer Motion · Vercel • Links: Live site (private repo, client project)


Tech Stack

Only what I actually build with.

Category Technologies
Languages TypeScript C# JavaScript Python Java SQL
Frontend React Next.js Angular TanStack Tailwind
Backend .NET Node.js Express NestJS
Data PostgreSQL SQL Server EF Core Supabase
AI / Agents LangGraph Gemini n8n RAG Ollama
Cloud & DevOps AWS Cloudflare Docker Vercel
CMS & Tools Payload Strapi Git Figma

Experience

Role Where When
Full-Stack Engineer Freelance / Client Work Feb 2026 - Present
AI Research Trainee HIGGS AI Talent Club Nov 2025 - Present
Front-End Developer Sivrce AI Jan 2026 - Apr 2026
Junior Front-End Developer ROWIX Dec 2025 - Apr 2026
Full-Stack Developer Koober Coders Jun 2025 - Sep 2025
What I actually did →
  • Freelance / Client Work: Design, build, and deploy web applications for real clients end-to-end: responsive frontends, backend APIs, database integration, and direct client collaboration on requirements. Shipped a multilingual medical CMS for a practicing surgeon (Next.js + Payload CMS + Cloudflare R2) with one-click AI localization across four languages.
  • HIGGS AI Talent Club: Selected for a competitive applied-ML program. Built and evaluated n-gram / bigram language models, text-preprocessing pipelines, and NLP workflows; completed GPT / prompt-engineering training with the TSU Knowledge Transfer & Innovation Center and collaborated on AI prototypes with engineers and mentors.
  • Sivrce AI: Built core frontend for an AI-powered recommendation platform with React, Next.js, and Strapi; reusable component systems and REST integrations powering personalized content delivery.
  • ROWIX: Shipped production frontend features for client-facing products in React + TypeScript; reusable UI systems, responsive interfaces, REST integration, and state management, with code reviews in Agile cycles.
  • Koober Coders: Full-stack delivery with Angular, ASP.NET Core, EF Core, and SQL Server; designed relational schemas and RESTful APIs supporting real business workflows.

📊 GitHub Stats:



✍️ Random Dev Quote


Certifications

Certiport IT Specialist - Software Development · HIGGS AI Neural Networks, Gen AI, n8n Automation and AI Agents · Volunteering at Global Tech Weekend Tbilisi 2026 · NASA Space Apps Challenge 2025 · Harvard CS50 - Python · DataArt JavaScript Workshop · Learn Swift (Codecademy)


Open to full-stack roles and interesting AI-agent problems.

LinkedIn · Email

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  1. Chakrulo Chakrulo Public

    TypeScript 2

  2. Learnyx Learnyx Public

    HTML 1

  3. sakhli-ai sakhli-ai Public

    Behavior-based student flatmate matching and automated rental platform for Georgia, leveraging agentic workflows and automated property management pipelines. Built for the Nakadi Hub Vibe Coding Ha…

    TypeScript 1 1

  4. Global-Explorer-AI-Agent Global-Explorer-AI-Agent Public

    Global Explorer is an autonomous AI travel strategist built with LangGraph and Gemini 2.5 Flash. It plans personalized trips using real-time weather, holiday, pricing, and destination data, while m…

    Jupyter Notebook 1

  5. ArtUnion-API ArtUnion-API Public

    C#

  6. TSU-JavaScript-Project TSU-JavaScript-Project Public

    TypeScript 1