01 / Flagship EngineeringShipped
PDF RAG Chatbot
Secure async document intelligence with hybrid retrieval, OCR, abstention, and grounded citations.
Applied AI & Full-Stack Engineer — Backend Focus
I build reliable AI systems and the software infrastructure around them.
Applied AI engineer and full-stack developer with a backend focus, building production-minded systems across RAG, LLM infrastructure, ML APIs, computer vision, and commerce software.
Available for focused work
Open to Applied AI, Backend, and Full-Stack engineering opportunities.
01 / Selected engineering
Systems built around reliability, evidence, and real constraints.
The first four projects form a deliberate engineering progression: backend foundations → evaluated ML → LLM infrastructure → secure retrieval systems. Product and research work follows with its maturity labeled clearly.
02 / Flagship EngineeringShipped
LLM API Gateway
Provider-neutral LLM infrastructure with stable aliases, retries, fallback chains, usage accounting, and analytics.
03 / Flagship EngineeringShipped
Lead Scoring ML API
An evaluated supervised-ML inference service with calibration, threshold policy, model integrity checks, and reproducible synthetic benchmarks.
04 / Flagship EngineeringShipped
AI Engineering Starter Kit
A reusable FastAPI foundation for production-minded AI services with typed configuration, persistence, testing, security guardrails, and CI.
Production, product & research
05 / Production & Product EngineeringProduction
Wahab Mobiles
A production e-commerce platform for a family retail business, spanning storefront, authentication, checkout, administration, and deployment hardening.
06 / Production & Product EngineeringPrivate Alpha · Coming Soon
LucidFence
A private, self-hosted household network-protection system for DNS filtering, safe-search enforcement, policy controls, and browser-assisted protection.
07 / Production & Product EngineeringPrivate Development · Coming Soon
Atlas
Procurement intelligence for mapping merchant SKUs to credible upstream sourcing alternatives and comparing evidence-backed acquisition scenarios.
08 / ResearchResearch Prototype
MS-ADA Intelligent Traffic Surveillance
A CPU-first academic computer-vision prototype for vehicle tracking, ALPR, accident reasoning, hit-and-run monitoring, and evidence capture.
02 / Experience
Experience across client work and teams.
Professional experience
Project-based
Freelance Developer & Data Analyst
Independent
Delivered freelance work across data analysis and web development, translating client requirements into practical analyses, reports, and software deliverables. Specific client names and commercially sensitive details remain private unless explicitly approved for publication.
Leadership & community
2025–2026
President
TE Links — NED University
Led the departmental student body through a year spanning 10+ events, 6 technical sessions, 10+ partnerships, and 3 community initiatives across technical learning, professional development, student community, and university programming.
03 / Education
From telecommunications and computer vision toward applied AI systems.
September 2026 – Present
M.S. Artificial Intelligence
National University of Sciences & Technology (NUST)
Karachi, Pakistan
Graduate study in Artificial Intelligence at Pakistan Navy Engineering College (PNEC), Karachi.
2022–2026
B.E. Telecommunication Engineering
NED University of Engineering & Technology
Karachi, Pakistan
Engineering foundation spanning telecommunications and computing, culminating in the MS-ADA computer-vision Final Year Project.
04 / Research
Research work with a clear publication path.
All research →Work in progress is labeled honestly; published material links to the paper, preprint, or DOI.
Publication details pending
MS-ADA: AI-Powered Intelligent Traffic Surveillance for Real-Time Accident and Hit-and-Run Detection & Tracking
Research publication derived from the NED Final Year Project. The portfolio will not claim publication, acceptance, venue, DOI, or citation details until they are formally available.
05 / Writing
Engineering notes from systems I actually build.
No generic tutorial wall: the blog is for architecture decisions, failure modes, evaluation, backend systems, and product lessons.
Applied AI
Reliable RAG Begins Where the Demo Ends
A retrieval system earns trust by knowing when evidence is insufficient, not by producing an answer for every prompt.
Read note →
Backend Systems
A Provider-Neutral LLM Gateway Is Not an API Proxy
Stable aliases, explicit policy, observability, and testable fallbacks turn model calls into infrastructure.
Read note →
Agentic AI
Build Agentic AI That Can Be Debugged
An agent is a stateful workflow with tools and side effects. Design it so each decision can be inspected and bounded.
Read note →06 / Profile
Applied AI depth. Full-stack breadth. Backend discipline.
I work where applied AI meets dependable software engineering: typed APIs, evaluation, retrieval, data systems, testing, security, deployment, and product workflows. My goal is to build systems that are technically credible, useful to real users, and explicit about their limitations.
Availability
Open to Applied AI, Backend, and Full-Stack engineering opportunities.
Applied AI / RAG / LLM systemsFastAPI / APIs / data systemsFull-stack product engineeringTesting / security / deployment
07 / Contact
Have a hard systems problem or a product worth shipping?
For engineering opportunities, collaboration, research, or product work, send the problem and context.