Saifullah.

APPLIED AI / BACKEND SYSTEMS / FULL-STACK ENGINEERING

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.

RAG / LLM infrastructure / ML APIsBackend systems / full-stack productsResearch / computer vision / product execution
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.

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.

FastAPIPythonGeminiSQLAlchemyAlembic

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.

ReactTypeScriptFastifyPrismaPostgreSQL
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.

PythonFastAPIPostgreSQLDockerDNS
Case study →Private repository
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.

Applied AIProcurement IntelligenceProduct MatchingEvidence WorkflowsFull-Stack
Case study →Private repository · open-source planned
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.

PythonYOLO11OpenCVTrackingALPR
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 & research

From telecommunications and computer vision toward applied AI systems.

Starting September 2026

M.S. Artificial Intelligence

National University of Sciences & Technology (NUST)

Karachi, Pakistan

Graduate study in Artificial Intelligence at Pakistan Navy Engineering College (PNEC), Karachi. Before the program begins, this portfolio intentionally labels the degree as upcoming rather than 'Present'.

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.

Research

MS-ADA: AI-Powered Intelligent Traffic Surveillance for Real-Time Accident and Hit-and-Run Detection & Tracking

Publication details pending

To be added after formal publication · To be added after formal publication

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.

Featured certifications

Certifications are managed from the private CMS and will appear here once selected as featured.

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04 / 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.

Draft queue ready

First engineering notes are being prepared.

Drafts already live in the CMS cover RAG abstention and LLM gateway design. They stay private until published.

View all writing →
05 / Profile

Applied AI depth. Full-stack breadth. Backend discipline.

Portrait optional

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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

06 / Contact

Have a hard systems problem or a product worth shipping?

For engineering opportunities, collaboration, research, or product work, send the problem and context.