Poor Man's Autograd
Deriving the code for differentiating code. Inspired by microgpt.Surprise! A derivation of entropy
I explain entropy to myselfDrone physics
Equations governing dynamics and control of a multirotor UAVNews
2025-04: I joined Google in a Software Engineer role and moved to the San Francisco Bay area.
2025-01: I gave a talk at Trane Technologies’ Data Science Forum on anomaly detection algorithms and presented a case study using data from rooftop refrigeration units.
2024-11: I spoke at Applied AI conference in November. My talk was on optimizing differentiable supply chains and using GenAI to interact with Supply Chain prediction models.
2024-04: I gave a talk at Trane Technologies’ Data Science Forum: Reinforcement learning - a theoretical and practical introduction.
2023-11: Public release of multirotor 0.5: a python library for simulating drones.
2023-10: I finished a course on using Langchain for function-calling agents on Deeplearning.ai.
2023-09: I gave an invited talk on demystifying the AI hype at Tennessee State University.
2023-06: I am doing a summer research contract on Genetic Algorithms for robotic path planning.
2023-05: I successfully defended my thesis on Fault-tolerant control using reinforcement learning.
2023-05: Our paper titled “Model-based adaptation for sample efficient transfer in reinforcement learning control of parameter-varying systems” was accepted to IEEE CoDIT 2023.