Hi, I’m Shoaib Hassan, a Senior Machine Learning Engineer with over 9 years of experience designing, building, and deploying scalable AI/ML solutions across Fintech, Healthcare, Real Estate, E-commerce, Retail, and Robotics. I specialize in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agent-based architectures, with strong expertise in computer vision, natural language processing, and predictive modeling using TensorFlow, PyTorch, and Scikit-learn. I love delivering end-to-end MLOps and LLMOps pipelines for model training, deployment, and monitoring on AWS and GCP, leveraging Docker, Kubernetes, and CI/CD. I also enjoy applying mathematical optimization with CVXPY for constrained regression, forecasting, and resource allocation. I enjoy collaborating with product teams to translate business goals into production-ready AI solutions that scale in regulated and high-growth environments.

Shoaib Hassan

Hi, I’m Shoaib Hassan, a Senior Machine Learning Engineer with over 9 years of experience designing, building, and deploying scalable AI/ML solutions across Fintech, Healthcare, Real Estate, E-commerce, Retail, and Robotics. I specialize in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agent-based architectures, with strong expertise in computer vision, natural language processing, and predictive modeling using TensorFlow, PyTorch, and Scikit-learn. I love delivering end-to-end MLOps and LLMOps pipelines for model training, deployment, and monitoring on AWS and GCP, leveraging Docker, Kubernetes, and CI/CD. I also enjoy applying mathematical optimization with CVXPY for constrained regression, forecasting, and resource allocation. I enjoy collaborating with product teams to translate business goals into production-ready AI solutions that scale in regulated and high-growth environments.

Available to hire

Hi, I’m Shoaib Hassan, a Senior Machine Learning Engineer with over 9 years of experience designing, building, and deploying scalable AI/ML solutions across Fintech, Healthcare, Real Estate, E-commerce, Retail, and Robotics. I specialize in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agent-based architectures, with strong expertise in computer vision, natural language processing, and predictive modeling using TensorFlow, PyTorch, and Scikit-learn.

I love delivering end-to-end MLOps and LLMOps pipelines for model training, deployment, and monitoring on AWS and GCP, leveraging Docker, Kubernetes, and CI/CD. I also enjoy applying mathematical optimization with CVXPY for constrained regression, forecasting, and resource allocation. I enjoy collaborating with product teams to translate business goals into production-ready AI solutions that scale in regulated and high-growth environments.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent
Urdu
Advanced

Work Experience

Senior Machine Learning Engineer at Cybernef Technologies
March 1, 2022 - Present
Design, train, and deploy ML models with a focus on computer vision and NLP; build scalable data pipelines; develop CV solutions using OpenCV; deploy models via FastAPI, Docker, and CI/CD; implement real-time AI systems with Redis and Celery; cloud deployment on AWS and GCP; graph-based learning with Neo4j; monitor with Elasticsearch, Kibana, Grafana; prototype Generative AI and LLM-powered RAG pipelines and AI agents; CVXPY optimization for constrained regression and resource allocation.
AI/ML Developer at P2H
January 1, 2020 - February 1, 2022
Design, develop, and deploy ML models for real-world applications; implement CV/NLP models with TensorFlow & PyTorch; data preprocessing, feature engineering, and predictive modeling; large-scale data processing and augmentation; build FastAPI APIs; graph-based data modeling with Neo4j; distributed task management with Redis and Celery; containerized deployment with Docker & Kubernetes; CI/CD for ML workflows.
Python Developer at System Limited
May 1, 2016 - December 1, 2019
Develop and maintain Python backend services; build RESTful APIs with FastAPI; design ETL pipelines; work with PostgreSQL, MongoDB, Redis; containerize with Docker; implement CI/CD; monitor systems with Elasticsearch, Kibana, and Grafana; collaborate with cross-functional teams to deliver AI-enabled features.

Education

MS Artificial Intelligence at Comsats University, Pakistan
January 1, 2017 - January 1, 2019
Bachelor of Computer Science at Comsats University, Pakistan
January 1, 2012 - January 1, 2016
MS Artificial Intelligence at Comsats University, Pakistan
January 1, 2017 - January 1, 2019
Bachelor of Computer Science at Comsats University, Pakistan
January 1, 2012 - January 1, 2016

Qualifications

Add your qualifications or awards here.

Industry Experience

Financial Services, Healthcare, Software & Internet, Retail, Real Estate & Construction