Hasan Zeynalov
@hasanzeynalov
Computer Vision & AI Engineer building real-time autonomous systems with deep learning and reinforcement learning.
What I'm looking for
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
Data Science Instructor
Div Academy
Oct 2024 - Sep 2025 (11 months)
Designed and taught advanced courses in machine learning, deep learning, computer vision, and artificial intelligence, including YOLO object detection workflows and OpenCV-based image processing. Mentored students through hands-on projects and guidance on model training, evaluation, deployment, and optimization.
Data Scientist
Kapital Bank
Jul 2023 - Sep 2025 (2 years 2 months)
Developed computer vision pipelines for branch customer movement analysis, including real-time people counting, movement tracking, heatmap generation, and dwell-time analytics. Built forecasting models for call center demand and sales performance (93%–98.5% accuracy) and shipped Streamlit-based real-time monitoring tools.
Data Scientist Intern
QSS Analytics
Dec 2022 - Jul 2023 (7 months)
Collaborated with the data science team on AI-focused hackathons and technical work spanning computer vision, NLP, and fraud detection. Built interactive visualization and monitoring tools in Python with Plotly and Streamlit, and supported ML workflows for preprocessing, evaluation, and deployment pipelines.
Education
Degrees, certifications, and relevant coursework
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.
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.
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.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/hasanzeynalJob categories
Skills
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