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Hasan ZeynalovHZ
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Hasan Zeynalov

@hasanzeynalov

Computer Vision & AI Engineer building real-time autonomous systems with deep learning and reinforcement learning.

Azerbaijan
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What I'm looking for

I’m looking for roles where I can build computer vision and reinforcement-learning systems for autonomous, real-time decision-making—turning simulations and models into production-ready analytics and monitoring tools in a team that values experimentation and impact.

I’m a Computer Vision and AI Engineer with hands-on experience building AI-driven solutions for real-time visual analytics, autonomous systems, and reinforcement learning. I currently pursue a PhD in Engineering (Autonomous Systems) at the University of Sydney, focusing on autonomous vehicle decision-making and multi-agent systems.

In my role as a Data Scientist at Kapital Bank, I developed real-time people counting, movement tracking, heatmap generation, and dwell-time analysis pipelines to optimize branch operations, and built forecasting models with accuracy ranging from 93% to 98.5%. I also create interactive monitoring tools with Streamlit and mentor others through instructor roles where I’ve guided 500+ students through practical computer vision and deep learning projects.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

University of Sydney logoUS

University of Sydney

PhD in Engineering, Autonomous Systems

2025 -

Activities and societies: Research areas: Multi-Agent Reinforcement Learning, Autonomous Vehicles, Computer Vision for Autonomous Systems, Traffic Intelligence, Simulation-based AI Training (Unity ML-Agents, CARLA), Decision-Making Systems.

PhD in Engineering (Autonomous Systems) focused on autonomous vehicle decision-making and multi-agent systems. Research includes multi-agent reinforcement learning, traffic intelligence, and simulation-based AI training.

AU

Azerbaijan Technical University

Master of Engineering, Computer Science and Engineering

2022 - 2024

Grade: 92.2/100

Activities and societies: Coursework: Artificial Intelligence, Computer Vision, Machine Learning, Algorithms, Advanced Mathematics, Databases, Research Methods.

M.E. in Computer Science and Engineering with coursework covering artificial intelligence, computer vision, machine learning, algorithms, advanced mathematics, databases, and research methods.

AS

ASOIU

Bachelor of Engineering, Information Technology

2018 - 2022

Grade: 86/100

Activities and societies: Coursework: Computer Vision, Image Processing, Machine Learning, Algorithms, OOP, Data Mining, Databases.

B.E. in Information Technology with coursework including computer vision, image processing, machine learning, algorithms, OOP, data mining, and databases.

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