Rehan Ghafoor
@rehanghafoor
Full Stack AI engineer delivering scalable ML, RAG, and multimodal solutions.
What I'm looking for
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
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.
Designed, built, and deployed 10+ GenAI solutions including RAG Q&A, multimodal retrieval, agentic assistants, and production NLP/CV models, improving automation and information retrieval for clients.
Freelance Data Analyst
LocalFreelancing
Jan 2020 - Jul 2020 (6 months)
Produced Power BI dashboards and reports, conducted sales record analysis and big data processing, and performed 5-year crypto market analysis to inform business decisions.
Education
Degrees, certifications, and relevant coursework
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.
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.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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