Distributed Systems
Communication, concurrency, coordination, fault handling, and reliability.
An independent engineering lab exploring distributed systems, robotics, edge computing, and autonomous systems through implementations, reproducible experiments, and measured results.
Measure first. Understand deeply. Improve continuously.
These areas meet where software interacts with networks, computation, sensors, and the physical world.
Communication, concurrency, coordination, fault handling, and reliability.
Connect software to the physical world with sensors, actuators, microcontrollers, and tested control logic.
Explore local data collection, processing, and decisions close to the devices that produce data.
Study the loop between sensing, modelling, decisions, action, and feedback.
Project status is explicit. Planned directions are not presented as completed work; published projects should include code, methods, tests, and results.
Small embedded experiments, starting with digital output and progressing towards sensor acquisition and actuator control.
A project direction for collecting, validating, storing, and analysing device telemetry with testable, measurable behaviour.
A small simulation for exploring state-based decisions, sensor inputs, actions, and feedback before using hardware.
Progress is recorded through artefacts and observations—not simply time spent or lines of code.
Define the system and the question.
Collect evidence before drawing conclusions.
Write down expected behaviour and assumptions.
Implement the smallest useful experiment.
Repeat, compare, and investigate failures.
Publish methods, results, and limitations.
For professional background and contact details, visit the main Anant Sir website.