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Rehan Ghafoor

@rehanghafoor

Full Stack AI engineer delivering scalable ML, RAG, and multimodal solutions.

Pakistan
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What I'm looking for

I seek roles building production GenAI/ML systems where I can lead end-to-end model development, integrate LLMs/agents, mentor teams, and solve real product problems in a collaborative, growth-focused environment.

I am a Full Stack AI engineer with over five years of experience building, deploying, and scaling machine learning and generative AI systems, backed by an MS in Information Technology. I specialize in RAG systems, multimodal retrieval, OCR/document parsing, audio-to-text pipelines, and deploying models with robust backends.

I have delivered 10+ production GenAI solutions including RAG-based Q&A, agentic assistants, multimodal search, meeting extraction, document automation, and voice-enabled assistants, and I’ve deployed models using PyTorch, TensorFlow and cloud services. I also build full-stack integrations with FastAPI, vector databases, and frontends, and create BI dashboards and geospatial ETL pipelines.

I am a proactive, detail-oriented problem solver and mentor who leads cross-functional teams, benchmarks LLMs, and automates workflows to deliver high-quality results on time and within budget; I am seeking challenging roles where I can apply my AI engineering, deployment, and product-integration skills.

Experience

Work history, roles, and key accomplishments

ZE
Current

Junior FullStack AI Developer

Zaaynah Enterprises

Dec 2023 - Present (2 years 1 month)

Developed and deployed ML models for image classification and detection, performed feature engineering and data analysis, and integrated models into production systems to improve reliability and performance.

Education

Degrees, certifications, and relevant coursework

National University of Sciences and Technology (NUST) logoNN

National University of Sciences and Technology (NUST)

Master of Science, Information Technology

2020 - 2022

Grade: 3.5 CGPA

Completed a Master of Science in Information Technology with a thesis on prediction of panic attacks using machine learning from MI data and a CGPA of 3.5.

PU

PMAS-Arid Agriculture University

Bachelor of Science, Information Technology

2016 - 2020

Completed a Bachelor of Science in Information Technology with a final year project on a wireless AI smart parking system using machine learning.

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Rehan Ghafoor - Junior FullStack AI Developer - Zaaynah Enterprises | Himalayas