https://example.com/Software engineer building robots, embedded systems and production AI. Intern at Hoogway.ai, joining Dell in June 2027. Based in Bangalore. https://example.com/writing/sesame-quadruped/https://example.com/writing/sesame-quadruped/Mon, 12 Oct 2026 00:00:00 GMTRebuilding Dorian Todd's open-source Sesame robot on my own electronics: a month of sourcing, a loose wire, a servo that stopped at 160 degrees, and a robot nicknamed Cockroach. https://example.com/writing/cuda-matmul-engine-of-ai/https://example.com/writing/cuda-matmul-engine-of-ai/Sat, 24 Jan 2026 00:00:00 GMTMoving closer to the hardware: why matrix multiplication is the core computation of modern AI, and how CUDA runs it on a GPU. https://example.com/writing/cs229-lecture-20-rl-debugging-diagnostics-and-policy-search/https://example.com/writing/cs229-lecture-20-rl-debugging-diagnostics-and-policy-search/Mon, 20 Oct 2025 00:00:00 GMTStanford CS229 lecture 20 notes: RL Debugging, Diagnostics and Policy Search. https://example.com/writing/cs229-lecture-19-reward-models-and-linear-dynamical-systems/https://example.com/writing/cs229-lecture-19-reward-models-and-linear-dynamical-systems/Sun, 19 Oct 2025 00:00:00 GMTStanford CS229 lecture 19 notes: Reward Models and Linear Dynamical Systems. https://example.com/writing/cs229-lecture-18-continuous-state-mdps-and-model-simulation/https://example.com/writing/cs229-lecture-18-continuous-state-mdps-and-model-simulation/Sat, 18 Oct 2025 00:00:00 GMTStanford CS229 lecture 18 notes: Continuous State MDPs and Model Simulation. https://example.com/writing/cs229-lecture-17-mdps-value-iteration-and-policy-iteration/https://example.com/writing/cs229-lecture-17-mdps-value-iteration-and-policy-iteration/Fri, 17 Oct 2025 00:00:00 GMTStanford CS229 lecture 17 notes: MDPs, Value Iteration and Policy Iteration. https://example.com/writing/cs229-lecture-16-ica-wrap-up-and-introduction-to-reinforcement-learning/https://example.com/writing/cs229-lecture-16-ica-wrap-up-and-introduction-to-reinforcement-learning/Thu, 16 Oct 2025 00:00:00 GMTStanford CS229 lecture 16 notes: ICA Wrap-up and Introduction to Reinforcement Learning. https://example.com/writing/cs229-lecture-15-pca-and-ica/https://example.com/writing/cs229-lecture-15-pca-and-ica/Wed, 15 Oct 2025 00:00:00 GMTStanford CS229 lecture 15 notes: PCA and ICA. https://example.com/writing/cs229-lecture-14-expectation-maximization-and-factor-analysis/https://example.com/writing/cs229-lecture-14-expectation-maximization-and-factor-analysis/Tue, 14 Oct 2025 00:00:00 GMTStanford CS229 lecture 14 notes: Expectation-Maximization and Factor Analysis. https://example.com/writing/cs229-lecture-13-debugging-ml-models-and-error-analysis/https://example.com/writing/cs229-lecture-13-debugging-ml-models-and-error-analysis/Mon, 13 Oct 2025 00:00:00 GMTStanford CS229 lecture 13 notes: Debugging ML Models and Error Analysis. https://example.com/writing/cs229-lecture-12-backpropagation-and-improving-neural-networks/https://example.com/writing/cs229-lecture-12-backpropagation-and-improving-neural-networks/Sun, 12 Oct 2025 00:00:00 GMTStanford CS229 lecture 12 notes: Backpropagation and Improving Neural Networks. https://example.com/writing/cs229-lecture-11-introduction-to-neural-networks/https://example.com/writing/cs229-lecture-11-introduction-to-neural-networks/Sat, 11 Oct 2025 00:00:00 GMTStanford CS229 lecture 11 notes: Introduction to Neural Networks. https://example.com/writing/cs229-lecture-10-decision-trees-and-ensemble-methods/https://example.com/writing/cs229-lecture-10-decision-trees-and-ensemble-methods/Fri, 10 Oct 2025 00:00:00 GMTStanford CS229 lecture 10 notes: Decision Trees and Ensemble Methods. https://example.com/writing/cs229-lecture-9-approximation-estimation-error-and-erm/https://example.com/writing/cs229-lecture-9-approximation-estimation-error-and-erm/Thu, 09 Oct 2025 00:00:00 GMTStanford CS229 lecture 9 notes: Approximation/Estimation Error and ERM. https://example.com/writing/cs229-lecture-8-data-splits-models-and-cross-validation/https://example.com/writing/cs229-lecture-8-data-splits-models-and-cross-validation/Wed, 08 Oct 2025 00:00:00 GMTStanford CS229 lecture 8 notes: Data Splits, Models and Cross-Validation. https://example.com/writing/cs229-lecture-7-kernels/https://example.com/writing/cs229-lecture-7-kernels/Tue, 07 Oct 2025 00:00:00 GMTStanford CS229 lecture 7 notes: Kernels. https://example.com/writing/cs229-lecture-6-support-vector-machines/https://example.com/writing/cs229-lecture-6-support-vector-machines/Mon, 06 Oct 2025 00:00:00 GMTStanford CS229 lecture 6 notes: Support Vector Machines. https://example.com/writing/cs229-lecture-5-gda-and-naive-bayes/https://example.com/writing/cs229-lecture-5-gda-and-naive-bayes/Sun, 05 Oct 2025 00:00:00 GMTStanford CS229 lecture 5 notes: GDA and Naive Bayes. https://example.com/writing/cs229-lecture-4-perceptron-and-generalized-linear-models/https://example.com/writing/cs229-lecture-4-perceptron-and-generalized-linear-models/Sat, 04 Oct 2025 00:00:00 GMTStanford CS229 lecture 4 notes: Perceptron and Generalized Linear Models. https://example.com/writing/cs229-lecture-3-locally-weighted-regression-and-logistic-regression/https://example.com/writing/cs229-lecture-3-locally-weighted-regression-and-logistic-regression/Fri, 03 Oct 2025 00:00:00 GMTStanford CS229 lecture 3 notes: Locally Weighted Regression and Logistic Regression.