I'm a Final Year Electrical & Electronic Engineering undergraduate specializing in embedded systems, AI, and real-time signal processing.
I enjoy building hardware + software systems that solve real-world problems, especially in sound localization, IoT, and computer vision.

• Developed a real-time acoustic localization system using synchronized I2S microphones.
• Implemented TDoA (Time Difference of Arrival) using cross-correlation & GCC-PHAT.
• Applied FIR filters and exponential smoothing for stable angle estimates.
• Frame-based processing including FFT, signal normalization, and peak detection.
• Fused audio localization results with YOLOv8 visual object detection.

• Distributed ESP32 master-slave architecture for bike safety, theft prevention, and accident response.
• Impact detection via accelerometer (I2C) and GPS + GSM integration for real-time alerts.
• Engine immobilization and alcohol/environmental monitoring using ADC & sensors.
• Created 2-layer PCBs in KiCad and mechanical layouts in FreeCAD.

• Real-time phase angle measurement using zero-crossing detection.
• Automatic capacitor switching to improve power factor under varying loads.
• Firmware implemented in C for robust embedded operation.

Programming & Libraries: C++, Python, Octave, JavaScript, React, Java; NumPy, SciPy, Pandas, TensorFlow, PyTorch, OpenCV, Scikit-learn
Microcontrollers: ESP32, ESP32-S3, Arduino (AVR)
Tools & Design: Git, Arduino IDE, Proteus, KiCad, FreeCAD
Embedded Systems & DSP: I2S audio acquisition, FIR/IIR filters, LMS filtering, FFT, TDoA estimation
Computer Vision: YOLO, FOMO, OpenCV real-time tracking

• Vice President Marketing (2026 – Present) AIESEC in University of Peradeniya
• Production Head (2025 – 2026) National Showcasing Team, AIESEC Sri Lanka
• Vice President (2025 – 2026) perabeats, University of Peradeniya
• Managed marketing & creative projects, led national teams, and executed national campaigns
• Nominted for Best Marketer and Won for Best Showcasing Marker (NOVA 2024 and NOVA 2025)

• Advanced machine learning & edge AI for real-time applications
• Audio feature extraction (STFT, MFCC, spectrograms)
• Multimodal audio-visual fusion techniques
• Deployment of lightweight models on resource-constrained devices

• 📧 Email: thushanths09@gmail.com
• 💼 LinkedIn: linkedin.com/in/thushanths09
• 🖥️ GitHub: github.com/thushanths09

I enjoy blending engineering, AI, and creativity building real-world systems while also producing videos, designing visuals, and leading teams. My goal is to become a Machine Learning & AI Engineer while continuing to grow as a creative leader.