A project to implement a subset of the functionality of Ruby's Enumerable.

ALX Higher level programming projects are solutions to solve complex challenges

A project showcasing a scheduling algorithm to optimize warehouse robot coordination for efficient product delivery and order fulfillment.

Classification (Pattern Recognition) algorithm development with Bayesian, Anti-Bayesian, Decision Tree and Dependence Tree concepts. [IEMIS 2020, Springer AISC]

Quantitative Analytics Suite A hands-on Python project inspired by JPMorgan’s quantitative research challenges. It covers four core modules: natural gas price forecasting, storage contract pricing, credit risk modeling (PD & expected loss), and FICO score quantization using DP and likelihood optimization.

Simple free-space communication system with visible light as part of my project during my master's first semester at the University of Jyväskylä

This is a mock keypad simulation project where I simulated circuit in LTspice to use that data for the test bench. I developed a Tkinter UI to generate data, which are sent to Arduino for processing, then sent back to the UI. Possible work extension could be done by substituting the mock keypad with the real one.

Developed a custom clustering algorithm to analyze wine data without traditional machine learning. The project standardizes features and employs mathematical formulas using NumPy to identify distinct clusters, offering insights into wine sample groupings and their characteristics.

🛠️ Implement efficient deformable grid sampling operations with bilinear interpolation in PyTorch, enhancing deep learning models for dense vision tasks.

🔍 Streamline your research with the MiniMax-M2 Deep Research Agent that combines intelligent planning and neural web search for comprehensive insights.

🖥️ Simplify Fortran legacy code management with fortran-5ns, a tool designed for efficient code conversion and modernization.

🤖 Discover top AI and Machine Learning trends with personalized content and AI-generated summaries, all in a sleek, easy-to-navigate format.

🚀 Build a cross-platform application with an intuitive user interface, optimized for performance and enhanced user experience through robust testing and error handling.

Gaussian Mixture Model (GMM) trial coding

🌐 Simplify web development with chapel-bwu, a powerful Chapel framework for building fast and scalable web applications.

📚 Explore a curated collection of research on Label-Free Reinforcement Learning with Verifiable Rewards for enhancing Large Language Models.

🔍 Streamline social media analysis for sensitive roles with evidence-driven insights, leveraging AI for fast assessments and detailed reporting.

⚡ Optimize heterogeneous reinforcement learning with GEPO for decentralized AI training, tackling policy staleness in large models effectively.

🎨 Explore random, Nvidia-inspired projects in this unique collection, showcasing creativity and innovation for developers and tech enthusiasts alike.