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  • Fast NUCES, Karachi campus (Student)
  • Karachi, Pakistan
  • 07:59 (UTC -12:00)

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Achievement: Pull Sharkx2Achievement: YOLO

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amh1k/README.md

Abdul Moiz Hussain

Backend / Infrastructure-focused engineer building reliable systems with Node.js, TypeScript, and Go.

I like working close to the parts of software that make products dependable: APIs, queues, databases, auth, workers, observability, and systems that keep running when things get messy.

Portfolio . LinkedIn . Email . LeetCode . Codeforces

Profile views

What I'm Focused On

I build backend-heavy web systems with Node.js, TypeScript, Express, Next.js, PostgreSQL, MongoDB, Redis, and background job infrastructure.

Right now, I'm going deeper into Go and infrastructure-oriented engineering: cleaner APIs, better concurrency patterns, observability, distributed workers, and production-minded service design.

AI/ML is also part of my work, but more as an engineering layer than a buzzword. I've been exploring PyTorch, transformer internals, model training loops, classical ML pipelines, and how intelligent systems can be made usable through solid backend architecture.

Engineering Interests

Backend APIs        Node.js / Express / Go
Infrastructure      queues / workers / Redis / Docker / observability
Databases           PostgreSQL / MongoDB / schema design
Reliability         tests / retries / failure handling / clean boundaries
AI Engineering      PyTorch / transformers / ML pipelines
Algorithms          competitive programming / C++ / DSA

Selected Work

Keepalive Monitoring

Distributed uptime monitoring system built around background workers, queues, Redis orchestration, retries, and heartbeat processing.

ScadrialAPI

Production-minded Go REST API with PostgreSQL, token auth, RBAC, Swagger docs, migrations, and E2E tests.

StormShelf

Backend-only Express/Mongoose API with JWT auth, protected routes, Cloudinary uploads, reviews, favorites, and modular CRUD workflows.

DAA Algorithm Visualizer

C++ and Next.js system for visualizing divide-and-conquer algorithms, benchmarking performance, and exposing algorithmic state transitions.

LLM From Scratch

PyTorch-based exploration of transformer architecture, causal attention, tokenization, positional encoding, and fine-tuning concepts.

Tech I Use

Backend / Infra

Data / Persistence

Frontend

AI / Systems

Competitive Programming & Achievements

  • Codeforces Pupil
  • Solved 700+ problems across LeetCode, Codeforces, and AtCoder
  • Qualified for ICPC Regionals
  • 3rd Place, Coders Cup 2025
  • Champion, AI Grand Prix Procom 2026
  • 4th Place, AI Got Talent DevDay 2026 with 0.986 F1
  • Dean's List of Honor for 4 semesters

Currently

Building backend systems, learning Go seriously, and studying how infrastructure and AI systems meet in real products.

Pinned Loading

  1. keepalive-monitoring keepalive-monitoring Public

    A high-performance, distributed uptime monitoring system built with the T3 Stack. Features sub-second pinging, automated failover notifications via Discord webhooks, and a robust background task ar…

    TypeScript

  2. llm-from-scratch llm-from-scratch Public

    From-scratch implementation of a high-performance Large Language Model in PyTorch. Features modern architectural enhancements including Rotary Positional Embeddings (RoPE), Causal Multi-Head Attent…

    Jupyter Notebook

  3. Daa-Project Daa-Project Public

    A high-performance DAA project featuring 13+ Divide & Conquer algorithms. Includes optimized C++ implementations and an interactive Next.js web visualizer for Closest Pair and Karatsuba algorithms.

    TypeScript 1

  4. DurinsCode DurinsCode Public

    Durin’s Code is a DSL created to compile interactive text adventures into playable game engines.

    C++ 1

  5. BaradBuyEcommerce BaradBuyEcommerce Public

    Fullstack ecommerce website built with nextjs with stripe integration

    TypeScript

  6. ScadrialAPI ScadrialAPI Public

    Production-minded Go REST API with PostgreSQL, token auth, RBAC, Swagger docs, migrations, and E2E tests.

    Go 1