01 / Applied AI & Knowledge SystemsShipped
PDF RAG System
An asynchronous document-question-answering backend with OCR, traceable page citations, and confidence-based no-answer handling.
Saifullah Suleman
Associate Business Analyst | Solution Design & Systems Integration
I turn business needs into working systems.
Business analysis, solution design, and systems integration, backed by hands-on work in applied AI, backend development, data analytics, and industrial AI research.
Available for focused work
Open to associate business analysis and AI business solutions roles in Karachi or remotely.
01 / Selected solutions
Business needs, translated into working solutions.
Document intelligence, LLM API integration, e-commerce workflows, and ML decision support, with clear evidence and practical limitations.
02 / Systems Integration & APIsShipped
LLM API Gateway
A provider-neutral FastAPI gateway for OpenAI and Gemini, with consistent interfaces, fallback policies, request tracing, and usage analytics.
03 / Product & E-commerce SolutionsProduction
Wahab Mobiles E-commerce Platform
A live retail catalogue with inventory/admin tools, a React/TypeScript frontend on Vercel, and a Fastify/PostgreSQL backend on Render.
04 / ML Decision SupportShipped
Lead Scoring ML API
A scikit-learn/FastAPI methodology demo exploring calibrated lead scores and business-cost thresholds on a clearly labeled synthetic dataset.
Additional engineering & research
05 / Flagship EngineeringShipped
AI Engineering Starter Kit
A reusable FastAPI foundation for production-minded AI services with typed configuration, persistence, testing, security guardrails, and CI.
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
Business analysis, research, and delivery.
Professional experience
September 2026 - Present
AI Research Associate
PNEC, NUST
Contributing to Pakistan Science Foundation-funded CNC process-health monitoring research at NUST PNEC, Karachi.
- Curate CNC machining datasets through preprocessing, operation-wise segmentation, and labeling of continuous production-cycle signals.
- Develop and evaluate PyTorch/TensorFlow models for CNC process-health monitoring.
- Build vibration-signal inference components for integration with the project's IoT/edge architecture.
August 2025 - August 2026
Business Solutions & Systems Design Engineer
Wisdom Tech
Translated client needs and business workflows into practical application features, API integrations, and delivered software solutions.
- Participated in client meetings to understand business needs, capture requirements, and clarify workflows.
- Proposed practical solutions, translating business needs into application features and API integrations.
- Implemented solutions using Python, Node.js/TypeScript, PostgreSQL, and Shopify; supported testing, deployment, and client feedback.
November 2024 - January 2025
Data Analysis Intern
NCBC, NED University
Data analysis internship in Karachi, Pakistan.
- Cleaned and analyzed datasets using SQL.
- Built Power BI and Tableau dashboards to communicate trends and performance metrics.
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 NED departmental student body through 10+ events, 6 technical sessions, 10+ partnerships, and 3 community initiatives during 2025-2026.
03 / Education
Engineering foundations. AI-focused postgraduate study.
September 2026 – Present
M.S. Artificial Intelligence
National University of Sciences & Technology (NUST), PNEC
Karachi, Pakistan
M.S. Artificial Intelligence candidate at Pakistan Navy Engineering College (PNEC), NUST, Karachi. Expected graduation: 2028.
2022 - June 2026
B.E. Telecommunications 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.
Ongoing research
CNC Process-Health Monitoring
Pakistan Science Foundation-funded CNC process-health monitoring research: dataset preprocessing, operation-wise segmentation and labeling, PyTorch/TensorFlow model evaluation, and vibration-signal inference for IoT/edge integration. Contributing as AI Research Associate at PNEC, NUST since September 2026.
Under peer review
MS-ADA: AI-Powered Intelligent Traffic Surveillance for Real-Time Accident and Hit-and-Run Detection & Tracking
Academic computer-vision research from the NED Final Year Project (June 2025 - August 2026), combining YOLO11 detection, ByteTrack tracking, EasyOCR-based Pakistani ALPR, and multi-signal accident reasoning. Tested on multiple raw traffic videos with snapshots, evidence clips, and structured event outputs. Manuscript under peer review; no publication or acceptance is claimed.
05 / Writing
Notes on AI research and engineering.
Practical perspectives on neural networks, reasoning, scientific machine learning, and the systems around them.
Neural Networks
Modern Neural Networks: Beyond the Architecture
From ANNs and attention to state-space models and hardware-aware kernels, useful progress comes from matching the model to the problem.
Read note →
AI Reasoning
Neuro-Symbolic AI: Learning With Explicit Reasoning
Neural models are strong at learning patterns. Symbolic systems make rules and deductions explicit. Combining them requires a careful contract.
Read note →
Physical AI
Physical AI: From Perception to Closed-Loop Action
Robotics foundation models and simulation are advancing quickly. Reliable physical AI still depends on sensing, control, evaluation, and recovery working together.
Read note →06 / Profile
Business understanding. Practical solution design.
I am a telecommunications engineer and M.S. Artificial Intelligence candidate with experience in business analysis, backend development, applied AI, data analysis, and industrial AI research. I translate business needs into practical technology solutions through requirements gathering, workflow analysis, application features, and API integrations. My work includes AI-enabled applications, RAG and LLM systems, ML decision support, reporting dashboards, and CNC process-health monitoring research at NUST PNEC.
Availability
Open to associate business analysis and AI business solutions roles in Karachi or remotely.
Business analysis / stakeholder needsSolution design / systems integrationApplied AI / data & analyticsDevelopment / testing / delivery
Verified proof
The signals behind the work.
Skills
Business Analysis & Delivery
Requirements gatheringStakeholder communicationWorkflow analysisSolution scoping
Solution Design & Integration
System design fundamentalsREST APIsData flowsSQL / PostgreSQLIoT / edge concepts
Applied AI & ML
RAGLLM APIsQdrantscikit-learnPyTorchTensorFlowModel evaluation
Development & Delivery
PythonFastAPINode.js / TypeScriptShopifyDockerGitpytestCI/CD
Data & Analytics
SQLPower BITableauReporting dashboardsTelecommunications signal processing
07 / Contact
Have a business challenge or a system to connect?
For associate business analysis opportunities, AI-enabled solutions, systems integration, or collaboration, share the problem and context.