Skip to content
View shehio's full-sized avatar
42 followers · 77 following

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: StarstruckAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: StarstruckAchievement: Arctic Code Vault Contributor

Highlights

  • Pro

Block or report shehio

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
shehio/README.md

Hi there, I’m Shehab!

I’m a software engineer with a focus on decision-making under uncertainty — reinforcement learning, Monte Carlo methods, game AI, and quantitative finance.

What I work on

  • Reinforcement Learning & Game AI — DQN, PPO, MCTS, policy gradients, and behavioral cloning applied to Atari, board games, and PS1 emulation
  • Monte Carlo Methods — Option pricing, pi estimation, convergence simulations, and stochastic integration
  • Quantitative Finance — Portfolio optimization, stochastic programming, and betting strategy analysis
  • Game Theory — Nash equilibria, Lemke-Howson, minimax, simplex
  • Optimization — Linear, binary, and integer programming
  • Distributed Systems & Infrastructure — Gossip protocols with Merkle trees, Terraform on AWS, Temporal.io workflows

Languages

Python · Go · TypeScript · Rust · Java · MATLAB

For the full about, please visit my website.

Pinned Loading

  1. Everything-Financial-Engineering Everything-Financial-Engineering Public

    Links for the most relevant topics

    32 3

  2. monte-carlo-tree-search monte-carlo-tree-search Public

    Python 16 2

  3. Project-Nash Project-Nash Public

    A panoply of algorithms in game theory, econometrics, linear programming, and Montecarlo simulations.

    TypeScript 13

  4. tabular-rl tabular-rl Public

    Reinforcement Learning algorithms with nothing abstracted away

    Python 7 1

  5. Computational-Biology Computational-Biology Public

    Jupyter Notebook 6

  6. rl rl Public

    Implementing RL agents, one algorithm at a time

    Python 9 2