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Shoaib Hassan

@shoaibhassan2

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Senior Machine Learning Engineer building production-ready computer vision, NLP, and optimization-driven AI systems.

Pakistan

Message

What I'm looking for

I’m looking to build production-ready AI systems—especially computer vision, NLP, and generative AI—while combining predictive modeling with optimization (CVXPY) and real-time pipelines on AWS/GCP.

Senior Machine Learning Engineer with 9+ years of experience designing, building, and deploying scalable AI/ML solutions across Fintech, Healthcare, Real Estate, E-commerce, Retail, and Robotics. Specialized in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agent-based architectures, with deep expertise in computer vision, natural language processing, and predictive modeling using TensorFlow, PyTorch, and Scikit-learn. Skilled in building end-to-end MLOps and LLMOps pipelines for model training, deployment, and monitoring on AWS and GCP using Docker, Kubernetes, and CI/CD. Strong background in mathematical optimization with CVXPY for constrained regression, demand forecasting, risk modeling, and resource allocation. Proven track record of delivering production ready, business-critical AI solutions for organizations across regulated and high growth industries worldwide.

Experience

Work history, roles, and key accomplishments

Current

Senior Machine Learning Engineer

Current

Cybernef Technologies

Mar 2022 - Present (4 years 6 months)

Designed, trained, and deployed computer vision and NLP models using TensorFlow and PyTorch, taking them from experimentation to production. Built scalable data pipelines and real-time inference workflows, deploying services with FastAPI, Docker, and CI/CD while monitoring performance with Elasticsearch, Kibana, and Grafana.

TensorFlow PyTorch OpenCV fastAPI Docker CI CD AWS GCP Redis CVXPY

AI/ML Developer

P2H

Jan 2020 - Feb 2022 (2 years 1 month)

Developed and deployed deep learning models for computer vision and NLP, including extensive data preprocessing, cleansing, and augmentation. Built and integrated FastAPI services with distributed task processing (Redis/Celery), deployed on Docker/Kubernetes, and supported monitoring with Elasticsearch, Kibana, and Grafana.

TensorFlow PyTorch fastAPI Scrapy Neo4j Redis Celery Docker Kubernetes Elasticsearch

Python Developer

System Limited

May 2016 - Dec 2019 (3 years 7 months)

Developed and maintained scalable Python backend services, including REST APIs with FastAPI and ETL workflows for reliable data ingestion. Improved performance with Redis caching and asynchronous processing with Celery, containerizing deployments with Docker and automating releases using CI/CD while monitoring with Elasticsearch, Kibana, and Grafana.