📫 avvienash@gmail.com
📞 +61 423 617 837
🔗 https://linkedin.com/in/avvienash-jaganathan

As a Robotics and Mechatronics Engineering graduate from Monash University, I am deeply invested in AI and automation. My experience includes leading a team of Deep Learning Engineers at Monash Deep Neuron, an R&D Engineering Internship at INTRIX, and significant research in autonomous drone trajectory generation and vehicle navigation. I am eager to leverage my skills and continue my professional growth in a challenging and innovative environment.

Bachelor of Robotics and mechatronics engineering (Honours) in Artificial Intelligence
Monash University, Clayton (October 2020 – July 2024)

• Developed a Ball-in-Maze Autonomous Solving Robot using Computer Vision and Control Systems.
• Created a Parcel Delivery Mobile Robot with mapping, inter-agent communication, and RFID parcel detection.
• Engineered an Automated Fruit Collecting Robot featuring SLAM, Mapping, Digital Twin, and Object Detection.
• Designed a control system for the DJI Tello drone using hand gestures and facial detection/tracking.
• Built an Ultrasonic Reverse Sensor with audible and visual distance detection with custom PCB.
• Designed a Recyclable Waste Separator Control System using CIROS Education automation cells and PLC programming.
• Achieved first runner-up in the 2022 Warman Design and Build competition.
• Led weapon design and construction team for Monash at ROBOCON 2022.
• Certified SolidWorks Associate in Mechanical Design (CSWA).

Research Assistant on Real-Time Pursuit-Evasion Trajectory Generation
Monash University (November 2023 – April 2024)

• Implemented a learning-based mixed-strategy pursuit-evasion trajectory generation model using PyTorch and CvXpy.
• Configured Vicon motion capture system for real-time agent tracking.
• Designed and built ROS2 nodes for trajectory generation, drone control, and real-time data plotting.
• Demonstrated feasibility using a micro-drone testbed with CrazySwarm 2 ROS package.

Project Team Manager
Monash Deep Neuron (July 2023 – May 2024)

• Led a 5-member AI Competitions Team, developing models using PyTorch and TensorFlow.
• Created ASL fingerspelling translation and AI content classification models, and a student summary evaluation model using BERT.
• Assisted in MDN recruitment through interviews and application screenings.

Research Assistant on Perception-Based Autonomous Navigation
Monash University (November 2022 – July 2023)

• Conducted a literature review on autonomous vehicles and implemented hardware-in-the-loop simulation using CARLA and MATLAB.
• Designed a Highway Merging Scenario with a Perception-Based Simulink Algorithm simulated in CARLA.

R&D Engineering Intern
INTRIX Group (November 2021 – February 2022)

• Designed and fabricated jigs using SolidWorks for manufacturing efficiency.
• Oversaw installation of UV air sterilizers, conducted safety and functionality tests, and recorded feedback.
• Conducted testing and data analysis on a new water boiler prototype, focusing on temperature stability and performance.

• Programming Languages & Tools: C, C++, Python, PLC, MATLAB, React, PyTorch, TensorFlow
• Electronics Design: Altium, LTspice, TinkerCAD, Soldering, Arduino, PSOC, Raspberry Pi, ESP32
• Mechanical Design & Fabrication: SolidWorks, 3D Printing, Laser Cutting
• Project Management Tools: Git, Confluence, Jira