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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.

I’m a Senior Machine Learning Engineer with 9 years of experience designing, building, and deploying scalable machine learning solutions across multiple industries. I focus on advanced ML, deep learning, and applied AI to deliver measurable business impact and operational efficiency.

In recent roles, I’ve developed predictive models, computer vision systems, and NLP solutions using TensorFlow, PyTorch, and Scikit-learn. I take models from experimentation to production—building robust data pipelines, performing feature engineering and augmentation, and deploying via FastAPI, Docker, and CI/CD on AWS and GCP.

I’m especially proud of my work combining AI with mathematical optimization using CVXPY—supporting constrained regression, demand forecasting, and resource allocation. I also build real-time and graph-based workflows (Redis, Celery, sockets, Neo4j) and monitor performance using Elasticsearch, Kibana, and Grafana.

Experience

Work history, roles, and key accomplishments

Current

Senior Machine Learning Engineer

Current

Cybernef Technologies

Mar 2022 - Present (4 years 3 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.