Software Developer | JMI Computer Engineering Graduate
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Assessing your cultural and operational fit
Source-Code-Plagiarism-Detection
May 10, 2026 – Present
A full-stack web application that detects plagiarism between two source code files using the Greedy String Tiling (GST) algorithm. It compares files structurally — at the AST token level — so it catches plagiarism even after variable renaming, comment changes, or minor reformatting.
View ProjectAI-Generated-Voice-Detection
November 17, 2025 – Present
Detect AI-generated voices using machine learning. Next.js frontend + Node.js/Python backend with CatBoost ML model. Real-time audio analysis with confidence scores.
View ProjectFile-System-Explorer
August 28, 2025 – August 28, 2025
A simple File System Explorer built with React and Node.js that mimics an operating system’s file explorer. The project represents directories and files using an N-ary tree structure, allowing hierarchical navigation and operations.
View ProjectDeepfake-Detection-System
August 4, 2025 – August 4, 2025
A robust deepfake detection system leveraging PyTorch, ResNeXt, and LSTM networks for accurate classification of videos as fake or pristine. The project combines spatial feature extraction with temporal sequence analysis, achieving an accuracy of 93.78%.
View ProjectReact-Native-Movie-App
July 19, 2025 – July 21, 2025
React-Native-Movie-App — GitHub repository
View ProjectAI-Generated-Voice-Detection-Model
May 25, 2025 – November 14, 2025
A real-time AI-generated voice detection system leveraging MFCC, NMF, and statistical audio features to accurately classify synthetic and human voices. Trained and evaluated models including CatBoost, XGBoost, Random Forest, and KNN on over 581K samples, achieving 91% accuracy with CatBoost.
View ProjectStock-Price-Prediction
July 11, 2024 – July 24, 2024
This project involves predicting the stock price using historical data, moving averages, and a Long Short-Term Memory (LSTM) neural network. The notebook demonstrates data collection, preprocessing, analysis, visualization, and predictive modeling.
View ProjectNote-Vault
June 18, 2023 – August 9, 2023
The online platform for securely storing and organizing your important notes. Powered by React and backend by a MySQL database.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong inclination towards personal projects, particularly in cutting-edge areas like AI/ML and full-stack web development. This indicates a proactive, self-driven individual who is passionate about learning and applying new technologies. The diversity of projects suggests adaptability and a broad interest in different technical domains. However, the lack of team-based or professional experience makes it difficult to fully assess cultural fit within a collaborative organizational setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate an ability to work on complex, self-directed initiatives, but team collaboration or communication styles cannot be evaluated.