Hassan Pasha
@hassanpasha
AI/ML engineer and engineering leader delivering reliable agentic AI platforms in regulated enterprises.
United StatesWhat I'm looking for
I’m an AI/ML engineer and engineering leader with 7+ years of experience building and operationalizing agentic AI and AI-enabled platforms in regulated enterprise environments. I focus on end-to-end delivery—orchestration, reasoning, retrieval, automation, and production readiness—while ensuring auditability and lifecycle compliance.
At AbbVie, I owned production-ready delivery of governed AI systems, partnering with clinical, technology, and compliance teams to implement AI that aligns with enterprise governance and audit standards. I provide technical leadership and mentoring to engineering teams, overseeing execution, risk mitigation, and lifecycle controls to drive measurable business outcomes.
Previously, at Mass General Brigham, I built machine learning pipelines with Python, Pandas, and Scikit-learn for large-scale healthcare datasets and developed supervised and deep learning models for clinical decision support. I also delivered hybrid systems that combine traditional ML with LLM-based RAG pipelines, using LangChain and transformer reranking (BGE/Hugging Face) to improve retrieval precision in real-world document search and chatbot workflows.
Experience
Work history, roles, and key accomplishments
Owned end-to-end delivery of agentic and AI-enabled platforms, ensuring production readiness, auditability, and lifecycle compliance. Partnered with clinical, technology, and compliance teams to implement governed AI solutions and mentored engineering teams on development, deployment, and AI operations.
Built end-to-end machine learning pipelines for large-scale healthcare datasets using Python and Scikit-learn, supporting clinical decision-making workflows. Developed supervised and deep learning models for patient risk prediction and healthcare text tasks, and implemented hybrid ML and LLM-based retrieval systems for clinical inference.
Data Scientist
7-Eleven
Feb 2017 - Mar 2020 (3 years 1 month)
Developed end-to-end machine learning models in support of customer behavior analysis, demand forecasting, and inventory optimization for retail operations. Built data pipelines and ETL workflows for POS and transactional data, and delivered recommendations and NLP-driven sentiment analysis to guide business decisions.
Education
Degrees, certifications, and relevant coursework
University of Illinois Chicago
Bachelor's degree, Computer Science
2014 - 2017
Earned a bachelor's degree in Computer Science at the University of Illinois Chicago from 2014 to 2017.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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