AI/ML & Optimization Engineer | Forecasting • Modeling • Intelligent Systems
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RL-algorithms
RL-algorithms Public🚀 Reinforcement learning from scratch — including value-based and policy-based methods, alongside search-driven approaches from evolutionary strategies like Genetic Algorithms to adaptive technique…
Python 1
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Multimodal-Market-Forecasting-with-News
Multimodal-Market-Forecasting-with-News PublicA multimodal machine learning system that combines financial time series and news headlines to forecast multiple target prices with a PyTorch-based model and a production-style inference API.
Jupyter Notebook
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Reinforcement-Learning-Challenge-Optimizing-Bandwidth-Allocation-for-Satellite-Broadband-Users
Reinforcement-Learning-Challenge-Optimizing-Bandwidth-Allocation-for-Satellite-Broadband-Users PublicThis repository features my solution for the DevFest '24 Challenge by @GDGAlgiers , where I used Proximal Policy Optimization (PPO) to optimize bandwidth allocation based on user demands over 24 ho…
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Optimal-Transport-Domain-Adaptation
Optimal-Transport-Domain-Adaptation PublicUnsupervised Domain Adaptation (MNIST -> USPS) using a 'From Scratch' implementation of the Sinkhorn Optimal Transport Algorithm.
Python 2
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RL-Enhanced-ALNS-for-VRPTW
RL-Enhanced-ALNS-for-VRPTW PublicThis project was developed as part of a VRPTW challenge during a hackathon organized by @SchoolofAI-Algiers, where I contributed as both participant and mentor
Python
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