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Hamza Zafar

@hamzazafar1

Senior AI Engineer specializing in deep learning, Transformers, and scalable AI systems with strong mathematical and research foundations.

Pakistan

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What I'm looking for

I’m looking to build scalable AI systems across deep learning, Transformers, CV, and LLMs (RAG & Agentic AI) — turning research ideas into production-ready systems with measurable real-world impact.

I’m a Senior AI Engineer with 10+ years of experience across machine learning, computer vision, and distributed deep learning, focused on turning research concepts into reliable, production-ready implementations.

In my recent work, I led architecture and deployment of production AI systems across CV and LLM domains—diagnosing bottlenecks in OCR pipelines and improving extraction accuracy from 85% → 98%, and building RAG-based document QA systems that reduced manual search effort.

I also design scalable training and inference: I’ve implemented ~50-GPU distributed pipelines (TensorFlow + Horovod) with 3× faster convergence and >90% GPU utilization, built fleet anomaly detection on 10M+ IoT data points, and optimized model deployment decisions with an LLM cost optimization framework.

My work is grounded in a strong understanding of AI architectures from mathematical and research perspectives, with contributions as both a published researcher and peer reviewer.

Experience

Work history, roles, and key accomplishments

Current

Senior AI Consultant

Current

Self-Employeed

Sep 2022 - Apr 2026 (3 years 7 months)

AI systems across CV and LLM domains.
• Optimized OCR text detection pipelines, improving extraction accuracy from 85% → 98%
• Built a vision-based inspection system for automated brick defect detection
• Stable Diffusion inference analysis on single- vs multi-GPU
• Built a RAG-based document QA system for enterprise knowledge retrieval
• Developed an LLM cost optimization framework

LLMs (LangChain Distributed Inference LLM APIs (OpenAI Computer Vision

Senior AI & Data Scientist

Fauree

Apr 2025 - Aug 2025 (4 months)

• Defined and implemented an organization-wide AI strategy that automated manual workflows and enabled data-driven consumer insights.
• Designed and deployed a RAG-powered LLM chatbot with end-to-end ingestion, embeddings, vector search, and prompt-based response generation,
• Integrated via API-based architecture and evaluated deployment options for performance, cost, and scalability.

LLM Systems Retrieval Augmented Generation (RAG)Embeddings Vector Search Prompt Engineering Document Ingestion Pipelines API Integration LLM Deployment Evaluation Customer Support

AI Solution Engineer

Independent AI Consultant

Feb 2024 - Jul 2024 (5 months)

Engineering automated vision systems for inspection.
• Developed a vision-based system for processing thousands of panoramic survey images into geospatially aligned 360° inspection outputs
• Built batch-processing pipelines and inspection interfaces, reducing manual processing effort for infrastructure assessment workflows from weeks to days

Panoramic Image Processing Batch Processing System Integration Roadmap Planning

Deep Learning Engineer

Dubai Technologies

Oct 2021 - Apr 2022 (6 months)

Architected and deployed AI systems across transportation and healthcare domains.
• Built and operationalized a fleet-wide anomaly detection system (10M+ IoT data points, 500+ vehicles), uncovering operational inefficiencies and revenue inconsistencies
• Directed a cross-functional team of 8 engineers, fostering collaboration and ensuring on-time milestone delivery

Anomaly Detection IoT Machine Learning Fleet Operations

AI Research Engineer

Institute of Space Technology

Aug 2020 - Jul 2021 (11 months)

Transforming geospatial analysis with cutting-edge computer vision.
• Built deep learning–based satellite imagery segmentation systems for national programs, enabling large-scale automated labeling
• Reduced labeling errors by 15-20% using custom deep learning models
• Mentored 6 researchers on deep learning models for satellite imagery, contributing to published research

Computer Vision Remote Sensing Research Mentorship Object Detection

Algorithm Design Engineer

Aifi Technologies

Jun 2018 - Apr 2020 (1 year 10 months)

Focused on scalable deep learning systems and distributed training.
• Designed a distributed training pipeline using TensorFlow and Horovod, scaling across ~50 GPUs and achieving 3× faster convergence across 100K+ training episodes
• Optimized data pipelines and training workflows to achieve >90% GPU utilization, enabling efficient large-scale training on terabytes data

Deep Learning Distributed Training TensorFlow Horovod GPU Clusters