Alok Didde
BUILDS
Retrieval-augmented generation platform replacing embedding-based vector search with probabilistic Monte Carlo exploration. Achieves ~80% recall vs <20% for traditional embeddings on large document sets, with adaptive learning that improves 47% by day 30.
Agricultural robot leveraging Gaussian Splatting for real-time navigation, CNN models for pest detection, and IK/FK for robotic arm precision actions.
SYSTEMS
LOG
Engineer with 14+ years in software systems, now specializing in robotics and autonomous platforms. Background spans distributed systems, healthcare AI, and real-time communication infrastructure. Currently focused on agricultural robotics—integrating spatial mapping, computer vision, and robotic manipulation for precision crop management. MSc Robotics from Queen Mary University of London.
| Institution | Degree | Period |
|---|---|---|
| Queen Mary University of London | MSc Robotics | 2023—2024 |
| Jawaharlal Nehru Technological University | BTech Computer Science | 2006—2010 |