Computer Science undergraduate with a strong passion for technology and problem-solving. I enjoy creating innovative solutions, exploring new ideas in software development and AI, and continuously learning to grow both personally and professionally.
My journey in Data science started with curiosity and has evolved into a professional career where I help businesses and individuals establish their digital presence. I believe in continuous learning and staying updated with the latest industry trends.
Let's ConnectC++, Python, JavaScript, HTML, CSS , Java (Basics)
NumPy, Pandas, Matplotlib, Django
DSA, OOP, OS, DBMS, CN
Git, SQL
Problem Solving, Self-learning, Teamwork
A cloud-based intrusion detection system that analyzes user activity and classifies potential threats using machine learning concepts. The platform provides a secure workflow for file handling, anomaly detection, and real-time classification of activities as normal or malicious.
Built a real-time fraud detection web app using Django, machine learning, and process mining. Achieved 92% accuracy and 89% precision with models like SVM, Naive Bayes, and Logistic Regression, while enhancing anomaly detection through transaction flow visualization.
An AI-powered backend system that detects anomalies in application logs and provides intelligent root cause analysis. Built with FastAPI, it enables real-time log monitoring, automated issue detection, and actionable insights to reduce debugging time.
A web application that organizes tasks using an Agile workflow with clear Todo, In-Progress, and Done stages.
Built a high-performance HTTP/1.1 web server in Java from scratch, handling 50 concurrent connections with 188+ requests/second and 5ms average response time. Implemented a multi-threaded architecture using `ExecutorService` for thread-safe request handling, and developed a custom HTTP protocol parser with MIME type detection and robust error handling for 400, 403, 404, and 405 status codes.
Have a project in mind? Let's work together!