Responsibilities include:

• Worked with multidisciplinary technical teams and managers to design, implement, evaluate, and transition novel machine learning algorithms given minimal guidelines and problem constraints
• Coauthored multiple conference articles, white papers, RFIs, and full technical proposals for government agencies including DARPA, NGA, and ARPA-E
• Served as technical lead for projects while mentoring junior scientists

Responsibilities include:

• Identified research problems, critically analyzed existing approaches, and developed scalable machine learning pipelines using Python, Pytorch
• Quantitatively evaluated machine learning architectures using multiple performance metrics to extract actionable, data-driven conclusions