Vijay Gullapalli, Ph.D. Email & Phone Number

Nashville, Tennessee, US

Worked closely with the founder and SMEs to conceptualize, design, and develop the 0-to-1 version of an AI/ML based product for a pre-funding stage startup. Key contributions include hands-on development of the product prototype, building out the vision and strategic plan for the company, as well as presenting technical aspects of the product to various.

• Calyxt Inc is a Synthetic Biology company with leading edge technology for producing valuable biochemicals using plant cell metabolomics. Built out end-to-end AI/ML capabilities on Azure to power their new strategy.
• Launched a company-wide initiative to capture detailed data for every step of the SynBio process to feed data-hungry AI/ML algorithms. Spearheaded the move to cloud by designing and building Azure infrastructure and.
• Designed and fabricated a fully automated and instrumented mini-BioFactory to capture detailed data during the growth of the Plant Cell Matrix (PCM) used to produce biochemistries. Sensor signatures detected in the.
• Developed cornerstone AI/ML algorithms for recording PCM growth accurately, identifying optimal gene edit vectors, and automating pathway discovery for secondary metabolite synthesis. These essential capabilities.

Armonk, New York, NY, US

Durham, NC, US

• Selected to lead Analytics and Insights for the whole enterprise. Responsible for designing the operating model and organization, talent retention and change catalysis, stakeholder partnership to sharpen focus on key.
• Designed a new operating model for delivering Analytics and Insights for the whole enterprise and won approval of the new CEO and executive leadership. Defined and rapidly built a new organization implementing the.
• Defined a vision and roadmap for analytics delivery and highly effective self-service for both internal and external customers. Partnered with stakeholders and IT to get rapid traction on long-standing data and.
• Established strong analytics and model governance to assess and eliminate bias and disparate impact, meet regulatory and compliance mandates, and protect the enterprise from adverse outcomes from misuse of powerful.
• On track to deliver over $155M in medical expense and operating expense savings in FY2021 through deployment of numerous actionable insights derived from AI, Machine Learning, and other advanced analytics.
• Jump started adoption of Cloud infrastructure and computing to power data-driven insight generated and deployed via new Model DevSecOps.

Mclean, VA, US

Leading the Card CCX Users and Consumers Tower in the overall Data Transformation initiative, responsible for all aspects of data consumption for analytics, modeling/Machine Learning, and reporting. Initiative involves migrating petabytes of data, thousands of users and hundreds of models to the Cloud.Director – Customer Data InnovationEstablished and led.

London, GB

HSBC is the seventh largest bank in the world with operations in over 65 countries. The MD of Global Information Management recruited me into his Credit Card team to define, design and implement the global standard platform and infrastructure for operations reporting. Created scalable and sustainable deployments through formalized Product Management and.

London, GB

Expanded responsibilities included budgetary oversight of all MIS related expenditure for HAF totaling about $3.6MM annually, coordinating the efforts of business and Data Warehouse teams both on and off-shore, and setting strategic objectives and executing projects to achieve these objectives.Special Projects ConsultantRecruited by the CEO as a Special.

Research Scientist, Cognitive Neuroscience

Ph.D., Computer Science (Machine Learning)

Be And Ms, Elec&Electronics Engg & Mathematics