- Led the design and execution of an Agile-based product framework for a remote education startup, enhancing product development processes and increasing team efficiency by 15%.- Drove cross-functional team collaboration, aligning stakeholders' needs with the product strategy to improve project delivery and performance.- Acted as product advisor to stakeholders, integrating Agile best practices into project management workflows, optimising product cycles, and fostering continuous delivery.- Driving product vision and strategy for a remote education startup, aligning product roadmap with business objectives, and achieving a 70% success rate in the first quarter.- Collaborating with cross-functional teams to gather requirements, conduct competitive analysis, and streamline product development.

Responsibilities:- Adapted the data manipulation, cleaning, and traffic safety metrics extraction algorithms from the SMART SAFETY product for real-time application in the SMART OPERATIONS product.(https://amagroup.io/smart-operations/)- Conducted a thorough examination of the foundational code base and logic developed over the past year, identifying and addressing areas needing improvement in terms of code quality, efficiency, and result accuracy.- Facilitated clear and effective communication between various teams, and within our own team, to ensure precise requirements and a well-defined strategy for addressing technical debt and updating software documentation accurately.- Developed and implemented a comprehensive regression testing pipeline for SMART SAFETY, aimed at accelerating the detection and resolution of potential bugs. This involved creating a set of metrics to assess data quality at different stages of the testing pipeline.

Responsibilities:- Steering the development, initiation, and execution of the company's first SaaS product, SMART SAFETY. (https://amagroup.io/smart-safety/)- Designed and developed the first prototype of SMART SAFETY, applying artificial intelligence algorithms for video analysis.- Developed complex mathematical algorithms to extract camera intrinsic and extrinsic parameters from images and their corresponding geographical areas.- Designed and implemented data manipulation and cleaning techniques for raw video data.- Developed algorithms to assess traffic safety and designed ETL processes for traffic safety data.- Led a team of engineers in enhancing SMART SAFETY through fine-tuning machine learning algorithms for specific video analysis use cases, applying efficient data manipulation techniques for data cleaning, developing case-specific data manipulation algorithms, improving the efficiency of existing algorithms for extracting traffic safety data, and expanding the codebase for more extensive traffic safety metrics extraction.- Facilitated communication between internal and external civil engineering teams and the development team, understanding business requirements.- Engaged with customers to gather product needs, conducted training sessions on platform usage, and worked with notable clients including the Florida Department of Transport, the City of Gold Coast, and the City of Bellevue.

Responsibilities:- Conducted in-depth research and evaluation of advanced video analytics algorithms for analyzing traffic scenes.- Transformed traffic safety analysis algorithms from scientific publications into functional code applicable to video datasets.- Engaged in swift prototyping and testing of various algorithms, assessing their suitability for the company's specific use cases.

Responsibilities:- Developed a proof of concept pipeline for traffic safety analysis by adapting logic from scientific publications.- Translated transport engineering principles into algorithms for in-depth traffic safety analysis.- Meticulously extracted and analyzed key data from the pipeline to derive meaningful insights.- Executed a thorough traffic safety study using this pipeline, the results of which were presented to the Department of Transport and Main Roads.