MATLAB is a high-level programming language and environment specifically designed for numerical computation, data visualization, and algorithm development. It is widely used in academia and industry for engineering, scientific research, financial modeling, and complex mathematical problem-solving.

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

ALX Higher level programming projects are solutions to solve complex challenges

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

🛠️ Apply on-policy distillation to enhance Qwen3-0.6b's performance on GSM8K by learning from its own outputs, reducing bias during inference.

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

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

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.

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

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.

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

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.

Real-time radar perception pipeline for automotive systems with multi-target detection, velocity estimation, and spatial localization.

🌐 Evaluate LVLMs' ability to reconstruct dynamic, interactive webpages from user interaction videos with the IWR-Bench benchmark.

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

🤖 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.

🔧 Enhance your development workflow with chelv4, a powerful tool for efficient code management and seamless integration.

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