SAHIL BAMBULKAR

AI Tech

Notes from building.

Experiments and engineering notes on machine learning, AI agents, and the software around them. By .

  1. 1

    Foundations

    How machines learn from data

    Learn AI, machine learning, neural networks, gradient descent, and backpropagation through Sahil Bambulkar’s 2022 self-driving simulation project.

    Published · Project: May 20, 2022
  2. 2

    Experiment

    Teaching a simulated car to steer

    A 2022 behavioral-cloning experiment: collect simulator driving data, train a CNN to predict steering angles, and evaluate the car in a closed loop.

    Published · Project: May 20, 2022
  3. 3

    Agent systems

    Git Together: helping agents share a codebase

    How Git Together coordinates coding agents through declared scope, priority, ownership windows, and access requests. A high-level internal-project account.

    Published
  4. 4

    Workflow orchestration

    Secret Agent: from requirements to production

    Secret Agent connects requirements, coding agents, stakeholder feedback, and manual blockers in a stage-by-stage delivery workflow. A high-level account.

    Published
  5. 5

    Engineering

    An 80% runtime reduction with Rust

    A Java-to-Rust proof of concept reduced runtime by 80% across three Lambda event handlers. Why Rust was selected, and how the wider migration is progressing.

    Published