Research
My research focuses on developing high-performance systems and ML/DL solutions that tackle real-world challenges across sustainable agriculture and humanitarian applications. I work at the intersection of distributed systems engineering, computer vision, and remote sensing to build practical tools that deliver impact.
Current Work
Geospatial Processing Systems & Food Security - I’m working with NASA Harvest on developing large-scale geospatial processing systems for agricultural monitoring and crop yield estimation. This includes operational deployment of the VERCYE crop estimation library and building infrastructure that enables timely predictions in rapid response situations using satellite imagery and remote sensing data.
Previous Work
Wildlife Conservation Technology - As a technical advisor for Interspecies Money (Now Tehanu), I contributed to developing computer vision systems for wildlife monitoring and conservation. Previously I worked with ConservationXLabs on wildlife re-identification systems.
Humanitarian Tech & Search and Rescue - Collaborating with Searchwing on developing long-distance drones equipped with efficient tiny object detection capabilities for NGOs conducting maritime search and rescue missions.
Other:
- Privacy Preserving Data Analysis for Social Sciences: Developed a system for automated anonymization of video and audio recordings while still retaining relevant features for different studies with the Donders Institute at the University of Nijmingen, Netherlands. MaskAnyone.
- Time Series Analysis for Turbine Anomalies: Developed a research system together with Rolls Royce for enabling the detecting and classifition of anomalies in timeseries data from turbing test beds. Also contributed a number of algorithms to the TimeEval Tool.
- Digital Nudging for Sustainable Behaviour: Prototyped a Platform to encourage sustainable decisions at the Pharmaceutical Manufacturer Takeda. Presented the results at Sugar Expo 2022.
- Efficent Database Research: Poster on applying Fast Succinct Tries for more efficient OLTP Systems Poster
Research Interests
My work spans both engineering robust systems and developing ML solutions:
Systems & Architecture:
- High-performance distributed systems for large-scale data processing
- Geospatial data pipelines and analysis workflows
- Software & Cloud architecture for robust ML deployment at scale
Machine Learning & Computer Vision:
- Efficient object detection and segmentation for embedded systems
- Combining physical models with data-driven approaches
- Remote sensing and satellite imagery analysis
- Computer vision for conservation and agricultural monitoring
Impact Areas:
- Sustainable Agriculture & Food Security
- Wildlife Conservation
- Climate Change & Environmental Monitoring
- Humanitarian Applications
I’m particularly interested in co-creating solutions with impacted communities and contributing to Open Science, good Science Communication, and ensuring global access to technological innovation.