I am a systems & computational learner focused on translating theory → implementation through code, simulation, and experimentation.

My interests span:

• Embedded systems
• Computational physics
• Mathematical & algorithmic thinking
• Game Development
• Programming as a tool for understanding systems

A structured map of my learning, projects, and explorations:

• Systems Learning Log
  → My Learning Log

A real-time interactive system exploring camera control, lighting psychology, and player-state manipulation to communicate meaning without UI or dialogue.

→ Repository: https://github.com/arindam-codes/roblox-cinematic-experience

• Law of Sines Visualizer
  Computational geometry using trigonometry and visualization
  → Law of Sines Visualizer

• General Root Finder
  Numerical root-finding via the bisection method
  → General Root Finder

• DayFlow RPC — Time-Aware Discord Presence
  A local Python system that maps real-world time → activity state and reflects it via Discord Rich Presence.

  Built as my first real-world systems project after completing MIT 6.100L, DayFlow RPC , here I tried to solve a human problem:
  making focus, availability, and transitions visible without manual communication. → DayFlow RPC (Live, time-driven system)

• Computational Physics Exploration (First Semester)
  Augmenting classical mechanics with numerical methods
  → Exploring First-Semester Physics via Computation

• First Semester Learning Reflection
  Decisions, corrections, and learning strategy
  → First-semester learning reflection

The same ideas I study mathematically, I try to make run in real environments.

This profile represents learning in public, not finished expertise. Projects emphasize clarity, abstraction, and correctness over polish.