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
Designed and implemented a smart locker system utilizing a fingerprint sensor for secure authentication. Integrated an LDR (Light Dependent Resistor) to detect locker door state (open/closed) and a buzzer module to trigger alerts if the locker remains open beyond a defined threshold. Employed an LCD display to show system status and user prompts. Controlled a servo motor to handle the physical locking and unlocking mechanism based on authentication and door state logic.
Non-Profit Database Management Website
Developed a full-stack database management web application for a non-profit using React, Django REST Framework, and MySQL, deployed on a Bluehost Linux host. Built RESTful CRUD APIs and dynamic multi-field filtering for managing people and program data. Implemented CSV/XLSX import-export, batch email functionality, server-side validation, and role-based access control. Created interactive dashboards to visualize key metrics such as participation and engagement.
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