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Achievement: Arctic Code Vault ContributorAchievement: Pull Shark

Achievements

Achievement: Arctic Code Vault ContributorAchievement: Pull Shark

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srahnama/README.md

Shahab (Liam) Rahnama

AI researcher · Software engineer

Building agents that reason — not just respond.

🎓 MSc Artificial Intelligence @ Monash University  ·  📍 Melbourne, Australia


Portfolio LinkedIn Stack Overflow Dribbble


🟢  Open to AI/ML research & engineering opportunities — let's talk


🔬 Now

Working on Sina — a scientist agent mode for AI coding agents: hypothesis-driven, evidence-based, uncertainty-aware. My broader focus is LLM agents, RAG systems, and reasoning models, backed by a decade of full-stack engineering and technical-lead experience.

🧪 Selected work

Project What it is Stack
Sina Scientist agent mode for AI coding agents — turns "vibes" into hypotheses, evidence, and calibrated uncertainty LLM agents
Stock Market Analysis RNN-LSTM time-series forecasting of Google stock price Python · Keras
Digikala Comments Analysis NLP sentiment model predicting product recommendations from Persian e-commerce reviews TensorFlow · NLP
Cross Learning & Replicator Dynamics How learning mechanisms converge to Nash equilibrium in the Prisoner's Dilemma Game theory · RL
Battleship Puzzle Solver Solitaire Battleships solved with a genetic algorithm Python · GA

🛠️ Toolbox

Python, JavaScript, C++, C#, PyTorch, TensorFlow, React, Node.js, Django, Flask, GraphQL, MongoDB, Docker, Git

📊 GitHub at a glance

GitHub stats Top languages

No matter how people treat you, always be kind.

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  1. Sina Sina Public

    Scientist agent mode for AI coding agents — hypothesis-driven, evidence-based, uncertainty-aware.

    1

  2. Stock-Market-Analysis-with-RNN---LSTM Stock-Market-Analysis-with-RNN---LSTM Public

    Using RNN - LSTM and Time Series to predict Google stock price

    Jupyter Notebook 4

  3. Digikala-Comments-Analysis Digikala-Comments-Analysis Public

    Predicting whether a comment left in Digikala without any idea about the recommendation, is recommending a product or not.

    Jupyter Notebook 2

  4. battleShipPuzzle battleShipPuzzle Public

    Solitaire Battleships puzzle with Genetic Algorithm in Python

    Python 2 1

  5. stringMatching stringMatching Public

    Search by Naive Search, Rabin Search, KMP Search and Finite Automaton Matcher algorithms

    Python 1

  6. CrossLearningandReplicatorDynamics CrossLearningandReplicatorDynamics Public

    A comprehensive Jupyter notebook demonstrating how different learning mechanisms converge to Nash equilibrium in the classic Prisoner's Dilemma game.

    Jupyter Notebook