Audry Ashleen Chivanga

• Annotate sensor data (e.g., camera images, LiDAR, or other perception inputs) to create accurate ground-truth datasets used to train and evaluate Zipline's perception and autonomy models
• Review and validate labeled datasets to ensure high annotation quality, consistency, and adherence to internal perception guidelines and safety standards
• Collaborate with perception engineers and data teams to identify edge cases, improve labeling processes, and support continuous improvement of machine learning model performance

Selected as 1 of only 14 students to represent the African Leadership University and Carnegie Foundation in Silicon Valley. Engaged with industry titans including:

Participated in intensive sessions on AI, leadership development, and entrepreneurship with global leaders.

• Leveraged geospatial data to explore conservation issues, focusing on wetland degradation and its impacts on community health
• Applied GIS techniques to create narrative-driven visualizations highlighting environmental and health risks
• Presented findings to the National Geographic Society team, emphasizing conservation strategies prioritizing ecological and community health

• Conducted detailed research on the policy influence landscape in North America's environmental sector
• Identified and profiled top 8 climate influencers based on contributions, awards, and expertise in Climate, Environment, and Geophysics
• Presented comprehensive market research demonstrating key findings and strategic insights

• Led research on predictive analysis in African healthcare queueing systems
• Cleaned and preprocessed large datasets using R, Python, and Pandas, contributing to the development of Mediqueueless
• Authored research paper "Prioritizing Patient-Centric Care: Resolving the Problem of Long Queues in African Hospitals" — accepted for presentation at The International Deep Learning Conference