Trainee Engineer — IoT & Cybersecurity
Engineering student proficient in Python, IoT, Embedded Systems, and Cybersecurity. I love creating practical solutions using technologies like Raspberry Pi, ESP32, and Firebase. Currently pursuing B.Tech in CS (IoT & Cybersecurity) at Providence College of Engineering.
┌───────────────────────┐ │ Thomas K Varghese │ │ Trainee Engineer │ │ │ │ > Python, Java, C │ │ > IoT & ESP32 │ │ > Cybersecurity │ │ > React & Firebase │ │ │ │ > projects: 7 │ │ > status: learning │ └───────────────────────┘ ████████╗ ██╗ ██╗ ██╗ ██╗ ╚══██╔══╝ ██║ ██╔╝ ██║ ██║ ██║ █████╔╝ ██║ ██║ ██║ ██╔═██╗ ╚██╗ ██╔╝ ██║ ██║ ██╗ ╚████╔╝ ╚═╝ ╚═╝ ╚═╝ ╚═══╝ > skills: IoT, Python, React > focus: Edge AI & Cybersec > status: open to work
Portfolio
From smart home dashboards to IoT sorting systems, ML pipelines, and cybersecurity tools.
A Raspberry Pi-based network security system that monitors, detects, and blocks suspicious IoT devices on your home network. Features real-time device discovery, automatic MAC vendor identification, Suricata IDS integration, Pi-hole DNS/DHCP blocking, and visual traffic dashboards.
A modern web-based smart home dashboard with AI-powered voice control using Google Genkit. Features natural language commands, custom routines, powerful automations with device and time-based triggers, and Firebase-backed authentication.
Automated hardware system using ESP32, Arduino Uno, and servo motors to sort and classify lemons. Includes a real-time web dashboard built with React and Firebase to visualize classification data.
ML inference pipeline optimized for Raspberry Pi to perform real-time facial expression analysis and pain level classification using TensorFlow.
A powerful steganography tool to hide files within images, audio, and video using AES encryption. Features a terminal-inspired UI with multi-format support (PNG, JPG, WAV, MP4, AVI).
Real-time sports scoreboard with Firebase backend and a responsive ReactJS UI for live score tracking across football and basketball games.
Email tracking system that analyzes the pathway emails take through various nodes. Verifies authenticity and detects anomalies in email headers for forensic analysis.
Capabilities
Work History
Developed IoT-based healthcare devices focused on clinical outcome measurement. Contributed to hardware-software integration and prototype development.
Performed disk imaging, data recovery, and mobile forensic analysis using industry tools. Analyzed digital evidence and documented forensic findings.
Background
Computer Science & Engineering
IoT & Cybersecurity, including Blockchain Technology
Providence College of Engineering, Chengannur
2022 - 2026Recognition
First Prize - QuizTopper Competition
Providence College of Engineering
First Prize - Project Exhibition (Cognizance 2023)
Providence College of Engineering
Second Prize - Capture the Flag (CTF)
Nakshathra 2025, Saintgits College of Engineering
Credentials
Growth