Arsalan Vossough Email & Phone Number

Budapest, Hu

United States

As the CTO at BetterAI and in charge of the development of VinoVoss, I play a pivotal role in bridging cutting-edge AI technologies with the dynamic world of wine discovery. My responsibilities include:Leading the integration of AI and machine learning technologies into VinoVoss, enhancing its capabilities as a semantic wine search engine and recommendation system.Leading a diverse team of software engineers, AI specialists, and wine experts to innovate and continuously improve VinoVoss, ensuring it remains at the forefront of the wine technology sector.Overseeing the strategic direction of VinoVoss, aligning it with BetterAI's broader goals while ensuring its unique identity and value proposition in the wine industry.Collaborating with cross-functional teams to ensure that VinoVoss not only benefits from the latest AI advancements but also shapes the future of AI applications in wine discovery and recommendation.

Menlo Park, California, United States

Lead research and development efforts for cutting-edge AI technologies, including machinelearning, natural language processing, and computer vision, to enhance the company's productsand services.Leading the VinoVoss project, a wine search engine and recommendation system, embodying a fusion of AI innovation and wine industry expertise.Collaborate with cross-functional teams to drive the development of new AI-powered productsand services, ensuring seamless integration and alignment with overall business goals.Design, implement, and maintain a scalable and secure AI infrastructure, including cloud-basedplatforms, data pipelines, and machine learning frameworks to support engineering efforts.Utilize Agile methodologies and version control tools to ensure timely and efficient projectdelivery, aligning engineering efforts with overall project goals.

Leading AI-driven comprehensive medical diagnostics. Developed medical diagnosis solutions. Oversee tech strategy and team leadership, ensure systems scale with company needs, and responsible for protecting intellectual property.

United States

DiverseUp is a benefit corporation that serves professional women seeking to expand their careers and achieve a proper work-life balance. DiverseUp's analytics focus on corporate culture, perks, amenities, and other factors specific to technological- and business-oriented women. DiverseUp's goal is to bring transparency to work practices, measure policy effectiveness, and help the technology sector attract and retain female talent.

Utilize advanced data analytics to rigorously assess and validate information across diverse business units, ensuring unparalleled accuracy and data integrity. Establish strong collaborations with business units to fully grasp the specifics of their informational needs, guaranteeing not only accuracy but also a tailored alignment with each unit's unique objectives.

Collaborator and developer of Tehran Stock Market analysis software for accessing real-time live streaming of financial market data such as prices, financial news, and company finances. Develop and maintain quantitative models to perform an in-depth analysis of stocks and other financial instruments, informing strategic decisions for the portfolio. Implement Windows-based software to create and deliver high-quality reports to clients, effectively communicating insights and portfolio performance. Collaborator and developer of Tehran Stock Market analysis software for accessing real-time live streaming of financial market data such as prices, financial news, and company finances. Develop and maintain quantitative models to perform an in-depth analysis of stocks and other financial instruments, informing strategic decisions for the portfolio. Implement Windows-based software to create and deliver high-quality reports to clients, effectively communicating insights and portfolio performance.

Master'S Degree, Data Science, 4.0/4.0

Relevant Courses: Research Design and Application for Data and Analysis Statistics for Data Science Fundamentals of Data Engineering.

Master'S Degree, Business Administration And Management, General, 4.9/5.0

Activities and Societies:Relevant Courses: Business Economics Business Statistics Quantitative Methods Management of Information.