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Novin *********** AI Systems Integration Engineer
Summary
A highly skilled AI Systems Integration Engineer with a Master’s in Information Technology (Artificial Intelligence) and a Bachelor’s in Engineering (Mechatronics) from the University. With extensive experience in developing advanced computer vision algorithms and predictive models, he has successfully collaborated with leading organisations. Demonstrated expertise in Python, machine learning, and deep learning techniques, particularly through projects. Proficient in SQL and cloud technologies, including Azure and Kubernetes, and has a strong track record in research and development, contributing to significant projects such as automated machine learning platforms and anomaly detection solutions. Passionate about leveraging technology for impactful solutions.
SKills
Education
- 2021 - 2023 Master of Information Technology (Artificial Intelligence) at The University of New South Wales
- 2015 - 2019 Bachelor of Engineering Honours (Mechatronics) & Minor: Space Engineering at The University of Sydney
Experience
- Aug 2023 - Present Senior Research & Development Specialist at Transport for NSW
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– Developed a sophisticated computer vision algorithm utilising YOLO (You Only Look Once) methodology to streamline intersection configuration processes. Proficiently categorised
elements such as stop lines, lanes, and pedestrian crossings, enhancing automation efficiency.
– Partnered with UNSW Research Center for Integrated Transport Innovation, developing a crowd-sourced delay-based traffic signal solution and performing trials in other countries.
– Facilitating strategic partnerships with universities and leading companies including Telstra, Microsoft, Compass IoT, AWS, and iMove for collaborative initiatives. - Oct 2021 - Aug 2023 Model Development Analyst at Commonwealth Bank
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– Developed and implemented predictive models to enhance decision making processes. Utilised expertise in working with large datasets, crafting complex SQL queries, and
collaborating effectively with cross-functional stakeholders to deliver high-impact results.
– Created a Python-based model pipeline for data processing, feature selection, engineering, model selection, and evaluation which lead to efficient model deployment. - Feb 2020 - Oct 2021 Research & Development Graduate at NTT Ltd
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– Developed an AIOps solution for Tour de France analytics, detecting anomalies in real-time data streams.
– Responsible for the Project Manager role, design and development of the anomaly detection model and the correlation analysis using Python. Skills obtained were working with a
complex dataset, problem-solving, research skills and developing an industry level product.
– Implemented security systems on Azure Kubernetes Service, gaining skills in enterprise application development with Kubernetes, Docker, and Azure DevOps. - Jan 2019 - Feb 2019 Mechatronic Engineering Internship at Reach Robotics
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– Created robotic arm test chambers, honing communication, interpersonal, and hardware manufacturing skills for comprehensive testing.
– Led development of robot arm inverse kinematics, crafting high-level software in Python, fostering teamwork, time management, and conceptual prowess.