A detail-oriented Computer Engineering graduate with strong expertise in Java, Python, and web development. I have proven experience in designing and implementing scalable applications using microservices architecture and agile methodologies. I possess strong skills in machine learning, data analysis, and collaborative teamwork. I am eager to contribute as a Full-Stack Developer by leveraging my technical expertise and passion for building innovative solutions.
E-Learning and Doubt Solving Application, Developed a Flutter-based application compatible with Android and iOS, providing free learning resources for economically weaker students. Implemented interactive quiz models to enhance learning and track progress. Email Spoofing Detection System, Developed a project to detect spoofed emails using text-based analysis. Trained 5 machine learning models: Random Forest, Naive Bayes, K-Nearest Neighbors, Logistic Regression, and Support Vector Classifier using Google Colab. Deployed a website using VS Code to display results and prediction graphs. URL Phishing Detection System, Developed a phishing detection project to identify malicious URLs using machine learning. Trained 5 models: XGBoost, LightGBM, Graph Neural Networks, CatBoost, and Naive Bayes to classify phishing URLs, significantly improving detection accuracy.