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@Programming-Hero-Next-Level-Development @Apollo-Level2-Web-Dev

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Shafayathub/README.md

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Hi there, I'm MD Shafayat Islam πŸ‘‹

I'm a Software Developer focused on backend and full-stack engineering, currently specializing in Artificial Intelligence & Intelligent Computing through my MSc in Computer Science & Engineering.

I build scalable web applications, backend systems, and AI-powered products using modern JavaScript/TypeScript technologies β€” and I'm intentionally building toward production-ready AI systems, rather than treating AI as a standalone research topic.

Alongside engineering, I work as a mentor and instructor, helping developers build strong foundations in JavaScript, TypeScript, React, Node.js, Express.js, PostgreSQL, and software engineering fundamentals.


πŸš€ What I Build

  • Backend & APIs β€” modular, scalable REST APIs with Node.js, Express.js, and TypeScript
  • Full-Stack Applications β€” Next.js and React front-ends backed by well-structured services
  • Data Layer β€” PostgreSQL with Prisma, MongoDB with Mongoose, Redis for caching
  • AI-Enabled Systems β€” Retrieval-Augmented Generation (RAG), LLM integration, embeddings and vector search with pgvector, semantic search pipelines

πŸ› οΈ Tech Stack

Languages

TypeScript JavaScript Python

Backend

Node.js Express.js Prisma Mongoose Zod JWT

Databases & Caching

PostgreSQL MongoDB Redis pgvector

Frontend

Next.js React Redux RTK Query Tailwind CSS HTML5 CSS3

AI / ML

LLMs RAG Embeddings Deep Learning

Tools

Git GitHub Docker Postman VSCode


πŸ€– AI Engineering Focus

Currently working with AI-enabled backend systems involving:

  • Retrieval-Augmented Generation (RAG) pipelines
  • LLM integration into production APIs
  • PostgreSQL + pgvector for semantic search
  • Embeddings, chunking strategies, and vector retrieval
  • Redis caching for latency and cost control
  • Modular, scalable API architecture around AI workloads

πŸŽ“ Academics

MSc in Computer Science & Engineering β€” Specialization: Intelligent Computing

Coursework: Data Mining Β· Computational Intelligence Β· Advanced Artificial Intelligence Β· Deep Learning Β· Neural Networks & Fuzzy Logic Systems Β· Research Methodology & Technical Writing

Includes an 18-credit thesis β€” investigating real-world problems, working with data, designing AI/ML solutions, running experiments, and communicating research findings.

I'm also a Mathematics graduate, which shapes how I approach analysis and problem-solving. Coming from a non-traditional tech background made me a highly adaptive learner β€” I take on unfamiliar challenges and work through them with practical experience and continuous learning.


πŸ§‘β€πŸ« Mentoring

I mentor students in a full-stack development bootcamp (Next Level Bootcamp), guiding them through modern web technologies and real-world problem-solving in JavaScript, TypeScript, React, Node.js, Express.js, and PostgreSQL.


πŸ’‘ Goals

  • Deliver high-quality, maintainable code in every project
  • Combine backend engineering, AI/ML, and applied research to build intelligent, scalable products
  • Stay current with modern web and AI technologies and best practices

Open to opportunities in: AI Engineering Β· Machine Learning Β· Applied AI Β· Backend Engineering Β· AI-powered products


🌱 Fun Facts

  • I enjoy working on challenging problems where engineering meets AI.
  • Outside of coding, I enjoy riding a bike and exploring rural areas.

πŸ“« Let's Connect

LinkedIn Email Portfolio


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  1. RAG_Wiki RAG_Wiki Public

    TypeScript

  2. Apollo-Level2-Web-Dev/L2B6-Frontend-PH-Healthcare-Management-System Apollo-Level2-Web-Dev/L2B6-Frontend-PH-Healthcare-Management-System Public

    TypeScript 6 1

  3. Apollo-Level2-Web-Dev/B5_CS2_OOP_with_Typescript Apollo-Level2-Web-Dev/B5_CS2_OOP_with_Typescript Public

    TypeScript 2 1

  4. Apollo-Level2-Web-Dev/ts-conceptual-sesssion-part-2 Apollo-Level2-Web-Dev/ts-conceptual-sesssion-part-2 Public

    TypeScript