engineer:
name: "Haseeb Ul Hassan"
role: "AI / Machine Learning Engineer"
experience: "2+ years"
location: "Riyadh, Saudi Arabia"
focus:
- Production Computer Vision systems (detection, OCR, OBB)
- NLP & structured information extraction
- Generative AI / LLM-powered pipelines (RAG, agents)
- End-to-end MLOps: from notebook to deployed service
philosophy: >
I engineer AI systems the way a software engineer ships products -
reliable, observable, and built to survive contact with real data.I'm an AI/ML Engineer with 2+ years of experience designing and deploying production AI systems across Computer Vision, NLP, and Generative AI. I built ForecastIQ, an end-to-end demand-forecasting pipeline that replaced manual spreadsheet workflows and now saves $200K+ annually, and I've delivered custom CV / OCR / LLM solutions for enterprise clients - from rotated-object detection models to LLM-refined data-extraction pipelines.
I care about the full lifecycle of an ML system - not just training a model, but shipping it behind an API, monitoring it, and keeping it correct in production. I approach AI engineering with a software-engineering mindset: version-controlled experiments, containerized services, and pipelines built to be maintained, not just demoed.
🎯 Open To: AI/ML Engineering roles · Computer Vision & NLP projects · Applied GenAI / RAG systems · Freelance & contract ML engineering · Co-founding early-stage AI products
| Domain | Proficiency | Details |
|---|---|---|
| Computer Vision | ⭐⭐⭐⭐⭐ | Custom-trained YOLO / YOLO-OBB detection models, data augmentation, hyperparameter tuning, segmentation vs. detection benchmarking |
| OCR & Document AI | ⭐⭐⭐⭐⭐ | Tesseract, EasyOCR, PaddleOCR, Google Cloud Vision, LayoutLMv3 fine-tuning for document sequence classification |
| NLP | ⭐⭐⭐⭐☆ | Custom NER models, structured field classification, LLM-based post-processing pipelines |
| Generative AI / LLMs | ⭐⭐⭐⭐⭐ | RAG pipelines (ChromaDB, Pinecone), OpenAI & Gemini SDKs, agentic workflows, prompt engineering |
| Forecasting & Planning | ⭐⭐⭐⭐⭐ | SKU-level demand forecasting, rule-driven purchasing logic, automated scheduled pipelines |
| MLOps & Deployment | ⭐⭐⭐⭐☆ | FastAPI services, Docker containers, VPN-secured VM deployment, W&B / MLflow experiment tracking |
| Recognition | Details |
|---|---|
| 🥇 Presidential Gold Medalist | Awarded for top academic standing — CGPA 3.77/4.0, Institute of Space Technology |
| 💰 $200K+ Annual Savings | Delivered via the ForecastIQ demand-forecasting pipeline at VisionX |
| 🎓 SCE Registered | Computer Science Specialist, Saudi Council of Engineers |
current_focus:
learning:
- Advanced agentic LLM architectures & multi-agent orchestration
- Model optimization & efficient inference (vLLM, quantization)
building:
- Production-grade RAG and agentic pipelines for enterprise clients
- Scalable CV + OCR + LLM cataloging systems
exploring:
- Fine-tuning open-weight LLMs for domain-specific tasks
- Edge deployment of vision models
open_to:
- AI/ML Engineering roles
- Applied GenAI & RAG consulting
- Early-stage AI product collaboration
"Good models are trained. Great systems are engineered."