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Achievements

Achievement: QuickdrawAchievement: Pull Shark

Achievements

Achievement: QuickdrawAchievement: Pull Shark

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wizli595/ReadMe.md
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About Me

I build data-driven, production-grade web applications with a focus on AI integration and cloud-native architecture. I work across the full stack — from designing typed APIs and resilient backends to shipping polished frontends with CI/CD pipelines.

  • LLM-powered features: retrieval, embeddings, prompt orchestration, and evaluation loops
  • Scalable backends with observability, caching, and performance-first design
  • Cloud-native delivery with Docker, Kubernetes, and GitHub Actions

Tech Stack

Languages  TypeScript JavaScript PHP Python Go C# Java

Backend  Laravel Node.js Express Next.js NestJS FastAPI GraphQL

Frontend  React Next.js Tailwind Redux Svelte

Databases  PostgreSQL MySQL MongoDB Redis Neo4j Supabase

DevOps & Cloud  Docker Kubernetes GitHub Actions Nginx Terraform AWS Azure Vercel

AI / ML  OpenAI LangChain PyTorch HuggingFace Pinecone

Featured Projects

NeuraPDF

Upload PDFs and chat with them using AI-powered natural language queries.
Svelte AI

ticketing_system

Microservices ticketing platform with Next.js, Docker, Kubernetes, and Ingress Nginx.
TypeScript Kubernetes Docker

TrackerTechV1

Full-stack asset tracking platform — v1 monorepo with dashboard, mobile, and backend.
TypeScript Kotlin Dart

contact-backend

Graph-based contacts and relationships API built with Neo4j and Clean Architecture.
TypeScript Neo4j Express

BookRecommender

AI-powered book recommendation engine.
TypeScript AI

Federated-learning-

Federated learning implementation for privacy-preserving ML.
TypeScript ML

GitHub Stats

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  1. Federated-learning- Federated-learning- Public

    Federated learning implementation with TypeScript

    TypeScript

  2. NeuraPDF NeuraPDF Public

    application that allows users to upload and embed PDFs, then chat with them using AI-powered natural language queries

    Svelte

  3. ticketing_system ticketing_system Public

    modern ticketing system employs a microservices architecture, featuring Next.js for the frontend, Docker for containerization, Kubernetes for orchestration, and Ingress Nginx for seamless external …

    TypeScript

  4. BookRecommender BookRecommender Public

    AI-powered book recommendation engine (TypeScript)

    TypeScript

  5. contact-backend contact-backend Public

    A graph-based contacts and relationships backend built with Node.js, Express, TypeScript, and Neo4j using Clean Architecture principles

    TypeScript