I work on robotics systems with an emphasis on control, simulation, and human–machine interfaces.
My focus is on understanding how systems behave under real-world constraints by moving between theory, modeling, and physical prototyping.
This GitHub is a living archive of experiments, replications, and exploratory builds developed alongside an independent, structured curriculum in robotics systems research.
- Robotics systems modeling and control
- Simulation-first analysis (MATLAB / Simulink, Python)
- Embedded systems and electronics (analog + digital)
- Human–machine interfaces and wearable robotics
- System-level prototyping driven by failure and iteration
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Control System Replication & Analysis Recreating classical and modern control systems in simulation to study stability, sensitivity, and failure modes beyond ideal assumptions.
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Simulation-First Robotics Experiments Small-scale robotics experiments explored through modeling and simulation before hardware implementation, focusing on system behavior and constraints.
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Technical Notes & Research Logs Structured notes and experiments documenting insights from robotics literature, simulations, and failed implementations, maintained as reproducible references.
- MATLAB / Simulink
- Python, C
- KiCad, Fusion 360
- Oscilloscopes, logic analyzers
- Embedded prototyping and test instrumentation
I treat engineering as a process of making systems legible.
If it works, good.
If it breaks, even better — now I know where not to trust the model.
I enjoy hacking up AI and robotics with limited resources, questionable hardware, and a willingness to learn by breaking things
(sometimes with my CCE potato, courtesy of @maahiWritesLogic).
Undergraduate at Manipal University Jaipur (MUJ).
IEEE Student Branch Webmaster.
Pursuing research-driven prototyping alongside formal coursework.
If you’re interested in systems-level robotics, replication studies, or exploratory prototyping, feel free to reach out.
Learning fast. Building rigor. Breaking just enough to understand.