RipuranjanBaruah
Navigating complexity, from the chessboard to the cosmos.
I build systems to understand how things work—from parsing exoplanet data to architecting autonomous AI. Code is my medium for solving hard scientific and strategic puzzles.
Selected Work
Building systems that bridge logic, physics, and intelligence.
SENTRY
Winner of Hack Space '25 (Blockchain Track). Autonomous security agent for Solana. Monitors mempool transactions to detect anomalies using a hybrid heuristic engine and ML-based threat detection.
Exo-Checkmate
Physics-informed exoplanet hunter. NASA Space Apps project using ML to analyze Kepler/TESS data for transit detection.
Fishy-Tal
Aggressive ML-tuned chess engine inspired by Mikhail Tal. Built on Sunfish with custom evaluation weights for tactical play.
Time Gambit
Deterministic constrained scheduling agent that treats your calendar like a logic puzzle. Solves 'Calendar Tetris' using probabilistic reasoning.
Research & Concepts
Exploring the uncharted. From orbital mechanics to gravitational waves.
The Music of the Spheres: Decrypting Transit Timing Variations (TTV) via Genetic Symbolic Regression
A novel neurosymbolic approach to exoplanet detection. Using evolutionary algorithms to discover analytical equations governing planetary perturbations, effectively 'automating the theorist' to derive laws from raw O-C diagrams.
Automated Pipeline for Detecting Binary Black Hole Mergers
Utilizes Spectral Density Estimation and Bandpass Filtering to clean raw LIGO strain data for enhanced signal detection.
Trajectory
Winter of Code 5.0
Open Source Contributor (Pyre Engine)
Contributing to the C++ graphics engine 'Pyre' under OSS Chandigarh. Focused on core rendering architecture.
Gambits.in
Founder (Stealth)
Building the next-generation of chess platforms, merging competitive play with deep analytic tooling. Code is just the medium; the goal is augmenting how players think. Domain acquired. Vision loading.
Chess Leadership
District Champion (U-17) & Initiative Lead
Won the District Championship in debut year. Why chess? Because it teaches you how to navigate massive search spaces and optimize under pressure—a skill that translates directly to algorithmic problem-solving and systems design.
The Drive: Unraveling systemic complexity.
My philosophy is simple: don't just use tools; dissect them. Whether I'm deriving orbital mechanics via symbolic regression, architecting low-level graphics pipelines, or building autonomous AI agents, my goal is always deep, first-principles understanding. I am driven by the pursuit of elegant solutions to incredibly hard scientific and strategic puzzles.
Let's Build the Future
Open to collaborations, research opportunities, and startup discussions.