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Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Shark

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Shark

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Lluc24/README.md

Lluc Santamaria

Balsells Research Fellow at UCI 🇺🇸 | Computer Science Student at FIB-UPC 🇪🇸

I'm a hacker who builds and ships fast. I specialize in creating practical solutions across the full stack—from compiler research and type theory to AI, blockchain, and web applications.

What I Build

Compiler Research & Type Theory

  • divergence – Static divergence checking for Scala 3 match types. Implements a termination guarantee algorithm in the Scala 3 compiler (PR #24661), directed by Martin Odersky at EPFL. Will culminate in a Scala Improvement Proposal (SIP). Grade: 6.0/6.0

Blockchain & Hackathons

  • Healix – 🏆 $1,000 USD prize winner at the SUI × BSA Hackathon 2025 (Lausanne). A decentralized platform for sharing emotions securely on the Sui blockchain, with on-chain encryption using SEAL and Move smart contracts

AI & Machine Learning

  • multiagent-RL – Multi-agent reinforcement learning with game-theoretic solution concepts
  • Planning modules for complex scheduling problems (PDDL)
  • Knowledge-based systems for real-world applications (CLIPS)

Web Development

Language Processing & Compilers

  • miniJ – Interpreter for a simplified J language using ANTLR and NumPy
  • Custom parsers and abstract syntax trees

Data Structures & Algorithms

  • BinTree – Binary tree implementation in Scala
  • Java applications with efficient algorithms

Tools & Templates

  • my-profile – LaTeX CV and business card automation

Tech Stack

Languages: Python • Java • Scala 3 • TypeScript • JavaScript • Move • CLIPS • PDDL • TeX
Frameworks: Django • React (Next.js) • ANTLR • NumPy • Sui/SEAL
Tools: Git • GitHub Actions • LaTeX

Connect

Popular repositories Loading

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    Binary classifier predicting coronary heart disease risk in 328k patients, implementing logistic regression and gradient descent from scratch in NumPy with cross-validation, missing-data handling, …

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  2. cliff-walking-rl cliff-walking-rl Public

    Four reinforcement learning algorithms — Value Iteration, Direct Estimation, Q-Learning and REINFORCE — implemented, swept and compared on the Cliff Walking environment, with the learned policies v…

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  3. miniJ miniJ Public

    Interpreter of a simplified version of J (derived from APL) implemented in Python using ANTLR and NumPy.

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  4. multiagent-RL multiagent-RL Public

    Explored Reinforcement Learning algorithms in a partially observable, multi-agent environment. Focused on Joint-Action Learning leveraging Game-Theoretic solution concepts to study agent coordinati…

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  5. divergence divergence Public

    Design and implementation of a divergence check algorithm for recursive Match Types in the Scala 3 compiler

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  6. leximin leximin Public

    A Python implementation of the algorithm for the leximin core imputation of the assignment game, based on Vazirani (2025)

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