🎓 Electrical & Electronic Engineering Undergraduate | University of Jaffna
🔧 Embedded Systems • 🛠️ PCB Design • 🌐 IoT • 🤖 Automation

Final-year Electrical and Electronic Engineering undergraduate seeking an embedded systems, PCB design and IoT internship. I write the ESP32/Arduino firmware, design the custom boards in Altium that run it, and build both into connected, working hardware.

• Embedded Machine Learning / Edge AI
• Multi-layer PCB design and signal integrity
• Digital IC and VLSI design (Cadence)

• ESP32 / STM32 / Arduino firmware and real-time systems
• Custom PCB design in Altium — from 2-layer boards to 4-layer robotics platforms
• Computer vision for embedded/edge devices (OpenCV, YOLOv8)
• IoT connectivity, wireless telemetry and cloud dashboards
• SolidWorks mechanical design for hardware prototypes

Embedded: ESP32, STM32, Arduino, Raspberry Pi, real-time firmware, I2C/SPI/UART, stepper/DC/servo control, PPG/thermal/IMU sensors PCB & Electronics: Altium Designer, multi-layer PCB layout, custom schematic symbols & footprints, MOSFET drivers, LDO/switching regulation, optocoupler isolation Networking & IoT: TCP/IP & UDP auto-discovery, wireless telemetry, cloud dashboards, remote monitoring Programming: Python, C/C++, MATLAB, Git, GitHub Computer Vision & ML: OpenCV, YOLOv8, CUDA-accelerated inference, segmentation & clustering (GMM/MRF) Digital IC & VLSI: Cadence, transistor-level digital IC design Web & Backend: Supabase (DB, REST APIs, realtime), Python/Flask Mechanical Design: SolidWorks — assembly modelling, linkage design, design for 3D printing

🏔️ GeoSentinel Smart Landslide Detection & Early Warning System Solar-powered embedded IoT node monitoring underground pressure, rainfall, soil moisture, temperature, humidity and GPS in landslide-prone terrain, raising alerts before a slide. Tech Stack: C++, ESP32/Arduino, UDP telemetry Key Features: Auto-connect wireless telemetry, intelligent power management, unattended remote operation	🩺 CuraVision AI Breast Ultrasound Classifier YOLO-based breast-ultrasound image classifier with Grad-CAM visual explanations for model predictions. (Collaborative project) Tech Stack: Python, YOLO, OpenCV Key Features: Medical image classification, Grad-CAM interpretability
📬 MailSense Automated Email-to-Action System Analyzes Gmail, extracts deadlines and actions, creates Google Calendar events, and sends real-time WhatsApp alerts. Tech Stack: Python, Flask, Gmail API, Google Calendar API Key Features: Email parsing, calendar automation, WhatsApp notifications	🖼️ Venus Image Annotator Computer Vision Labeling Tool Tool for drawing bounding boxes and saving annotations in YOLO format, built to speed up dataset labeling for CV projects. Tech Stack: Python Key Features: Bounding-box annotation, YOLO-format export
🔌 APsync Auto-Reconnecting Serial Interface Auto-reconnecting serial interface for Arduino and Python using username-based authentication and command handling. Tech Stack: Python, Arduino/C++ Key Features: Auto-reconnect on disconnect, authenticated command handling	🌐 MyPortfolio Personal Portfolio Website Personal portfolio site showcasing projects and experience. Tech Stack: HTML, CSS, JavaScript

• ✅ Quarter Finalist, IEEE Innovation Nation Sri Lanka 2026
• ✅ Three-time exhibitor, Techno Exhibition, BMICH (2023–2025)
• ✅ Custom 4-layer PCB designer in Altium, from schematic to fabricated board
• ✅ End-to-end embedded CV pipelines deployed on Raspberry Pi and ESP32

I'm always open to collaboration on embedded systems, PCB design, IoT or robotics projects.

• 📧 Email: nilaweeravenujacam@gmail.com
• 💼 LinkedIn: venuja-nilaweera
• 🐙 GitHub: @VenujaNilaweera