π Graduate Student in Computer Science at NC State University
π» Passionate about Web Development, Data Science, and Machine Learning
π Building scalable, user-centric applications and data-driven solutions
- π Experienced in full-stack development with Django REST, React, Flutter
- π Applied ML/DL models to real-world problems in healthcare, exercise recognition, and credit risk analysis
- π οΈ Skilled in Python, Java, C++, SQL, TensorFlow, PyTorch, and OpenCV
- π± Currently exploring distributed systems & scalable AI applications
- π― Love blending research and development to solve impactful challenges
Languages: Python, C++, Java, Dart, SQL, JavaScript
Frameworks & Libraries: Django REST, React, Node, Express, Flask, Flutter, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, OpenCV, MediaPipe
Tools & Platforms: Git, GitHub, MySQL, PostgreSQL, Figma, AutoCAD
- π Steganography Web App β Secure embedding & extraction of messages in images/audio/video (100% accuracy for images/audio).
- ποΈ HabitLens β AI-Powered Exercise Classification β Real-time recognition of 4 workouts with 99.34% accuracy using BiLSTM + Attention.
- πΎ Distributed KV β A lightweight, single-node Key-Value (KV) store in C++ with RocksDB backend.
- π Task Scheduler Dashboard β Real-time task orchestration system with Node.js, React, and SQLite featuring concurrent scheduling, metrics visualization, and dynamic UI using Material-UI.
- π οΈ ConcurrentCustomMap β High-performance, thread-safe custom HashMap in Java using bucket-level locking, lock-free and tree-based buckets, dynamic resizing, factory design pattern, with JUnit benchmarking, multithreading tests, and detailed bucket load visualization.
π« Email: devpatel0732@gmail.com
πΌ LinkedIn
π» GitHub
βοΈ Always open to collaborations in web dev, data science, and ML!