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Yashashwi
Singhania

I build systems and overthink algorithms. Dual degree at IIT (BHU), mostly writing reinforcement learning, systems code, and native macOS apps people actually keep installed.

based in
Varanasi, India
studying
Biochem. Eng.
graduating
2028
shipping
macOS apps
Reinforcement learningSystemsNative macOSCompetitive programming

1720

Codeforces

hackerman15

8.74

CGPA

IIT (BHU)

13th

AMS Derive 2026

All India Rank

3000+

Participants

Byte the Bits

Selected
work

01

Fadeo

A macOS menu bar app that watches your workflow — the app in front, the desktop you're on, whether you're in a meeting — and plays, fades, or switches audio to match. Every rule is yours to define, down to the second.

  • Swift
  • SwiftUI
  • macOS
  • Audio
02

Arras

A macOS menu bar app that places photos on your desktop as borderless, always-on-desktop overlays — perfectly matching each image's native aspect ratio. No cropping, no black bars.

  • Swift
  • SwiftUI
  • AppKit
  • Core Animation
03

CodeForge

A competitive programming platform with Codeforces integration. Host custom contests, track performance analytics, get personalized problem recommendations, and compete on ICPC-style leaderboards.

  • React
  • Node.js
  • MongoDB
  • Codeforces API
04

FFA-Pacman

Custom multi-agent Pacman environment built from scratch using PettingZoo. Agents compete to collect energy, eliminate each other, and survive — trained with DQN via Stable Baselines3.

  • Python
  • Deep RL
  • PettingZoo
  • SB3

A small studio

PureMac

Two native macOS apps, both open source, both free to run. Arras puts photos on your desktop at their real proportions. Fadeo changes your audio to match what you are doing.

Visit PureMac

Where I have been

June 2025 — July 2025

Remote

Machine Learning Intern

Fxis.ai

  • Architected a multimodal RAG pipeline utilizing Weaviate to parse complex enterprise documents.
  • Engineered advanced embedding models to seamlessly extract structured text and tabular data.
  • Automated analytical report generation from UK corporate tax filings to accelerate compliance.
  • RAG
  • Weaviate
  • NLP
  • Embeddings

Aug 2024 — Nov 2024

Varanasi, India

Research Project

IIT (BHU) Varanasi

  • Explored theoretical aspects of two-agent reinforcement games without shared states.
  • Developed value/policy iteration algorithms for non-shared state systems, proving convergence to Nash equilibrium.
  • Simulated adversarial dynamics in competitive settings and analyzed resulting strategic behaviors.
  • Reinforcement Learning
  • Game Theory
  • Nash Equilibrium

Languages

  • Python
  • C++
  • JavaScript
  • TypeScript
  • LaTeX

Web & Frameworks

  • Next.js
  • React
  • Flask
  • Tailwind CSS
  • SwiftUI
  • AppKit

Tools & Platforms

  • Docker
  • Git
  • GitHub Actions
  • Vercel
  • Google Colab
  • SSH
  • Bash

Operating Systems

  • Linux
  • macOS

Receipts

Programming & Hackathons

  • 1720Codeforces Ratinghackerman15
  • 1stPrize — DevBitsUdyam, IIT BHU 2025
  • 13thPOSTERIOR — AMS Derive 2026All India Rank · Top 50 National
  • 39thPRIOR — AMS Derive 2026All India Rank · Top 50 National

National Examinations

  • 1105thKVPY-SA 2021–22All India Rank · Kishore Vaigyanik Protsahan Yojana (Stream SA)
  • 20thNTSE — Uttar PradeshState Rank · National Talent Search Exam
  • QualifiedIOQM 2021Indian Olympiad Qualifier in Mathematics

Also built