Anwar — Full-Stack & AI Engineer | Muhammad Anwar

Clear ideas.
Bold systems.
Built to last.

Work
History.

• 

  Full Stack Engineer

  mahv.io · Full-time · Oct 2025 – Present

  01

  Architecting and shipping LLM-powered features and context-aware RAG pipelines integrated with Pinecone vector databases. Delivered full-stack MERN and Next.js systems that cut feature turnaround time by ~30%, improved key page Lighthouse scores by 20+ points, and reduced release incidents by ~40% through automated CI/CD pipelines.

• 

  CTO & Founding Engineer

  PulseQ · Part-time · Jun 2026 – Sep 2026

  02

  Led technical architecture and engineering for an AI-driven healthcare queue management platform, scaling a Python/PostgreSQL and Angular stack to production with zero downtime. Built real-time hospital integration APIs, raised PKR 1M pre-seed, and deployed live across 5+ hospital pilot sites.

• 

  Full Stack Developer

  Buildmatiq · Contract · Oct 2024 – Aug 2025

  03

  Shipped 10+ production web applications for international clients across fintech and e-commerce. Built multi-tier RBAC and JWT-secured REST APIs, managed 5+ AWS EC2 deployments with 99.5%+ uptime, and cut deployment cycles roughly in half with GitHub Actions CI/CD.

• GitHub Activity

  GitHub · @muhammadanwar16 ↗

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Selected
Projects.

• mchatly: Multi-Tenant AI Chatbot SaaS Platform ↗

  Next.js 14 TypeScript FastAPI LangChain RAG Pinecone MongoDB

  01

  A multi-tenant SaaS platform that lets businesses create, customize, and deploy AI-powered chatbots with an end-to-end RAG pipeline, zero hallucinations, and real-time human handover.

• SmartChat: AI Chatbot Platform for Businesses ↗

  Next.js FastAPI Pinecone LangChain Tailwind CSS

  02

  A no-code SaaS platform that lets any business create, deploy, and monitor AI-powered chatbots trained on their own data, no developer needed.

• TradingCharacters ↗

  Next.js 14 TypeScript Stripe Tailwind CSS Chart.js

  03

  A conversion-focused course platform with behavioral assessment, Stripe payments, and affiliate workflows, built for a trading psychology business.

People
talk.

• 01 / TradingCharacters · SaaS

  ★★★★★ 5.0

  “Muhammad engineered TradingCharacters from ground zero to production. The behavioral assessment engine and seamless Stripe checkout increased our course conversion rate significantly, while automated affiliate tracking and CI/CD pipelines on AWS cut our manual release effort to zero.”

  MR

  Mark van Rijn

  Founder, TradingCharacters

  Verified ✓
• 02 / Yarns & Wools · Marketplace

  ★★★★★ 5.0

  “Architecting a multi-brand marketplace with three interconnected portals seemed daunting, but Muhammad executed it flawlessly. Our independent brands manage their inventory in real time, and our admin team controls storefront CMS campaigns with zero developer dependency.”

  AF

  Ayesha Farooq

  Operations Lead, Yarns & Wools

  Verified ✓
• 03 / FindBestRemovals · Logistics

  ★★★★★ 5.0

  “The two-sided quote and booking platform Muhammad built transformed our operations. Moving inquiries that used to take days now happen in minutes through instant Socket.io chat and integrated Stripe checkout. Responsive, reliable, and exceptionally sharp.”

  LO

  Liam O'Connor

  Managing Director, FindBestRemovals UK

  Verified ✓
• 04 / Full-Stack & AI · General

  ★★★★★ 5.0

  “Muhammad is the rare engineer who pairs backend architecture rigor with polished frontend finesse. From architecting low-latency RAG and agentic AI pipelines to delivering resilient distributed systems on AWS, his technical ownership and shipping velocity are world-class.”

  ER

  Dr. Elena Rostova

  VP of Engineering, Cloud & AI Systems

  Verified ✓

Engineering
Notes.

• Architecting RAG Systems that Don't Hallucinate in Production ↗

  Aug 20, 2026

  Why naive RAG fails on complex enterprise data, and how semantic chunking, vector re-ranking, and deterministic guardrails solve it.

• Scaling Real-Time Chat and Human Handover with WebSockets ↗

  Jul 12, 2026

  Patterns for managing stateful WebSocket connections, connection recovery, Redis pub/sub, and seamless agent handover.

• From 60 to 98: Practical Next.js Performance Engineering ↗

  Jun 28, 2026

  A playbook for slashing bundle size, optimizing SSR data waterfalls, and improving Core Web Vitals on content-heavy web applications.

Let's work
together.