Resume

• Lead technical development at McKinsey's Center of Excellence for Generative AI within QuantumBlack Labs
• Drive advanced AI research and development initiatives for Fortune 500 client engagements
• Architect and deploy production-grade AI solutions using Kubernetes and Terraform
• Collaborate with cross-functional teams to implement cutting-edge generative AI applications

• Key developer in COMETS (Commercial Excellence Through Space) solution for remote sensing analytics
• Designed and implemented production-grade data infrastructure capable of managing terabytes of satellite imagery
• Built scalable data pipelines using Docker and Azure Databricks for geospatial analysis
• Developed computer vision algorithms for drone and satellite imagery with business applications

• Worked on ACRE (Agricultural Commodities Research Engine) for agricultural analytics
• Developed innovative analytics products to transform the agricultural industry
• Implemented geospatial analysis solutions using Python and Geographic Information Systems (GIS)
• Created predictive models for agricultural commodity markets and supply chain optimization

• Conducted research under the DARPA Big Mechanism Program for biomolecular reaction prediction
• Designed and implemented hierarchical, domain-indexed prior for Markov Chain Monte Carlo simulations
• Published research on molecular modeling and computational biology applications
• Collaborated with interdisciplinary teams on cutting-edge machine learning research

• Part-time researcher at Agricultural Research Service (ARS) studying molecular genetics of bee nutrition
• Contributed to multiple peer-reviewed publications on honeybee biology and health
• Developed logistic regression models for overwintering decision analysis
• Analyzed pollen diversity effects on viral titers using statistical methods

GPA: 4.0/4.0

GPA: 3.86/4.0

Triple major with Mathematics minor