A multi-threaded logistics engine written in C++ from scratch. Features Dijkstra-based routing, space-filling dispatch logic, and custom data structures (Graphs, Heaps, HashMaps) without STL dependencies.
A basic database made in python with only using built in library's of python
RiskMaster is an intelligent platform for individual investors to assess cryptocurrency market risks. It combines historical trend analysis and predictive neural networks - LSTM
Arbitrary-precision integer library implemented in modern C++, featuring string-based number representation and efficient algorithms for addition, subtraction, multiplication, division, and comparisons—designed for overflow-safe and portable high-precision computations.
This is a trained model of a Reinforce agent playing CartPole-v1
High-concurrency social platform engine featuring proprietary infrastructure components: a Custom Load Balancer, Dual-Mode Message Queue (AMQP/Native), and Rate Limiting algorithms. Built with Spring Boot & Angular.
A text-classifier based on Naive Bayes.
This repository contains C and C++ header files that include various standard library headers, providing essential functionality commonly used in C/C++ programming for a wide range of applications.
Isolated validation of a custom from-scratch TD3 implementation against Gymnasium's Pendulum-v1
A collaborative Java Swing application implementing custom data structures (Binary Trees, Queues, Linked Lists) from scratch, without standard libraries. Developed as a Software Engineering project at UPG Ploiești.
Implemented Polynomial Regression from scratch and compared it against Scikit-Learn’s implementation using a real estate price dataset. The project demonstrates data preprocessing, exploratory analysis, model training, and evaluation with metrics like MSE and R². It provides insights into the impact of polynomial features on regression performance.
a rate limiter project using nodejs and custom implementation of rate limiting based on ip
A .NET repository demonstrating the use of guard clauses for input validation and defensive programming. Includes implementations using both built-in .NET features and custom guard clauses, with practical examples for Order and Customer objects in a console application.
A SwiftUI and Combine app using the MovieDB API, with a custom Flux (Redux) implementation.
Data-structure-implementation in java
PyTorch-based TD3 RL agent for MuJoCo-based pressure-sensitive robotic gripper environment.
This project implements linear regression from first principles to predict YouTube ad revenue based on video metrics. Using NumPy, it covers hypothesis functions, cost optimization via gradient descent, and model evaluation. The custom model outperforms sklearn’s LinearRegression, offering insights into ad revenue trends.
A PNG decoder module written in Monkey
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