Max Siu

- Act as the primary communication liaison between clients and internal teams, ensuring clear alignment on project goals, timelines, and deliverables - Lead product testing initiatives to identify and address performance issues, usability challenges, and feature enhancements, ensuring high-quality releases - Facilitate the integration of AI consistency into our products by conducting fine-tuning of models and prompt engineering, enhancing the accuracy and relevance of AI-driven features - Coordinate cross-functional teams including developers, designers, and QA to maintain Agile workflows and meet sprint goals efficiently - Collaborate closely with clients to gather detailed requirements and identify product gaps, ensuring our solutions effectively address their needs and challenges - Conduct ongoing market research to identify emerging trends, customer needs, and competitive opportunities that inform product strategy - Drive continuous enhancements in UI/UX design and product functionality to improve user experience and ensure our solutions remain intuitive and effective

- Conducted extensive market research and due diligence on prospective portfolio companies leading to informed investment decisions - Collaborated with deal teams to conduct thorough financial analysis

- Presented detailed reports of competitive analysis through comprehensive market research - Facilitated communication between business and engineering teams to develop business plans - Enhanced media presence by implementing analytical tools and automating business processes - Applied expertise in data analytics to evaluate prospective customer and investor behavior

Contributed to the development of a Classroom Configuration Identifier (CCID) used to study the effects of technology and classroom strategies on learning. CCID is built on an image recognition convolutional neural network (CNN). - Categorized classroom environment images to train the CCID application model - Achieved an accuracy of 97% in recognizing the classroom environment - Analyzed learning activities from a dataset of 100,000+ images

Analyzed trends in consumer interest and company operations to provide insight on the company’s performance using big data analysis on early user actions. - Developed data pipelines to visualize sales and create reports that monitored sales performance - Provided key strategic insights to non-technical stakeholders using monthly reports and graphs - Presented forecasts of expected sales consumption to department heads on a weekly basis - Supported sales processes and customer experience channels by connecting business and technical teams