About Me
Computer Science graduate with hands-on experience in data analysis, network simulation, and web development. Proficient in Python, MySQL, and C++; familiar with TCP/IP, SDN, and building tools to forecast and visualize performance metrics. Strong communicator with experience delivering clear reports and collaborating across teams.
Arduino-Based Smart Locker
An Arduino Uno runs a capacitive fingerprint sensor and 16×2 LCD. A 5 V DC gear motor actuates the latch, while a phototransistor monitors ambient light inside the enclosure. After successful fingerprint authentication the motor retracts the latch and the LCD displays “Unlocked.” When light enters (box opened), a 10-s timer triggers a piezo buzzer; once darkness returns (box closed), the motor automatically re-locks the latch.
Non-Profit Database Management Website
Developed a full-stack non-profit database management web application using React, Django REST Framework, and MySQL on a Bluehost Linux host; implemented RESTful CRUD endpoints for members, donors, events, and classes; built dynamic multi-field filtering, CSV/XLSX import-export, and batch email marketing workflows; enforced role-based access control and server-side validation; and created interactive dashboards to visualize donation and attendance metrics.
Modular UDP Messaging Framework
Implemented a modular UDP messaging framework in C, featuring basic datagram client/server operations, select()-based multiplexing for multi-node broadcasting, embedded geolocation with Euclidean distance filtering, TTL-driven two-hop forwarding, sequence-numbered ACKs and path tracing for reliability, dynamic movement commands with loop prevention, and a retry-counter retransmission mechanism with duplicate suppression for a robust, self-healing distributed protocol.
ML-Driven Phishing Detection System
Built a Python-based phishing detection pipeline using TF-IDF feature extraction on email content and URL metadata, trained Random Forest and XGBoost classifiers with GridSearchCV hyperparameter tuning (95%+ accuracy, 0.93 F1), and exposed real-time inference via a Dockerized Flask REST API.
Skills
Languages
- Java
- Python
- C/C++
- SQL (MySQL, PostgreSQL)
- JavaScript
- TypeScript
- HTML/CSS
- R
Integration
- Django REST Framework
- FastAPI
- Flask
- TensorFlow
Developer Tools
- Git/GitHub
- Docker
- VS Code
- Postman
Technologies
- NetworkX
- Plotly
- pandas
- NumPy
- Matplotlib
- statsmodels
Frameworks
- React
- Next.js
- GSAP
- Tailwind
- Dash