Rusiru Anupama Rasanjana

Third-year Electronic and Telecommunication Engineering Undergraduate
University of Moratuwa

Location: Galle, Sri Lanka

Third-year Electronic and Telecommunication Engineering undergraduate at the University of Moratuwa, deeply passionate about applied and fundamental research in machine learning, signal processing, and robotics.

Computer Vision & Pattern Recognition
Embodied AI
Signal Processing
Robotics

Technical Skills

Programming Languages

Python
C
C++
MATLAB
JavaScript
Go
SQL
Bash

Markup

HTML
CSS
Markdown
LaTeX

Frameworks & Libraries

Tensorflow
Pytorch
JAX
Numpy
OpenCV
Gazebo
MuJoCo
ROS 2
Scikit-learn
FastAPI
Flask

Hardware

Tools & Software

Git
Linux
Altium
SolidWorks
KiCad
STM32CubeIDE

Projects

LumonBot — 6-Axis Cable-Driven Parallel Robot

Ongoing

Area: Robotics

Focus: Kinematics, Control, Multi-actuator coordination

Building a cable-driven parallel robot with an emphasis on kinematics, control, and multi-actuator coordination.
Working on workspace analysis and trajectory planning to improve motion precision and stability.

Technologies & Topics:

Cable-Driven Robotics

Kinematics

Control

Trajectory Planning

Omnidirectional Mecanum-Wheeled Robot

Ongoing

Area: Robotics

Current phase: Self-path planning and LiDAR navigation

Developing a mecanum-drive mobile robot with omnidirectional motion control and navigation-oriented drive logic.
Implementing kinematic modeling and controller tuning for smooth lateral and diagonal movement in constrained environments.
Designing a self-path-planning and LiDAR-based navigation system.

Technologies & Topics:

Mecanum Drive

LiDAR

Path Planning

Kinematic Modeling

MotorSense — Anomaly Detection using Autoencoders

Self-initiated project

Area: Machine Learning, Signal Processing

Application: Predictive maintenance

Built a PyTorch-based predictive-maintenance pipeline for motor and bearing vibration anomaly detection.
Trained dense and Conv1D autoencoders on healthy vibration windows using raw time-domain and FFT log-magnitude features.
Implemented dataset preparation, validation-based anomaly thresholds, and evaluation plots.

Technologies & Topics:

Python Pytorch Numpy

Autoencoders

FFT

N1K0 — Micromouse Robot

Completed

Area: Robotics, Signal Processing

Focus: Maze exploration, Wall detection, Fast-run optimization

Developed the N1K0 micromouse robot for maze exploration, wall detection, and fast-run optimization.
Developed circuitry for a 6-axis IMU and applied sensor-fusion techniques including Kalman filtering.
Worked on sensor feedback processing and calibration to reduce sensor noise.

Technologies & Topics:

C++

Electronics

Sensor Fusion

Kalman Filter

IMU

ECG Arrhythmia Detection

Completed

Area: Applied Machine Learning, Signal Processing

Contribution: Model efficiency and class-imbalance handling

Contributed to an ECG arrhythmia detection project focused on machine-learning-based cardiac signal classification.
Replaced ResNet101 with EfficientNet-B0 to improve inference performance.
Implemented SMOTE and Focal Loss to address dataset class imbalance.

Technologies & Topics:

Python Pytorch OpenCV

EfficientNet-B0

SMOTE

Focal Loss

Education

BSc Eng (Hons) in Electronic and Telecommunication Engineering

University of Moratuwa

March 2024 - Present

GPA: 3.92/4.00

G.C.E. Advanced Level — Physical Science Stream

Mahinda College, Galle

March 2009 - August 2023

3A Distinction Passes · Z-score: 2.3749

Honors and Awards

Dean's List Placement

University of Moratuwa — Semesters 1, 2 and 3

2026

RoboGames 2026 — Semi-finalist

University of Moratuwa

2026

Korea International Youth Olympiad 4I — Silver Medal

Korea International Youth Olympiad 4I

2017

WWIEA Award

Korea International Youth Olympiad 4I

2017

Sahasak Nimawum All-Island Competition — Merit Award

Sri Lanka Inventors Commission

2017

Experience & Volunteering

Machine Learning Engineering Intern

Mettabyte

May 2023 - June 2024

Designed and implemented an LLM-based matching workflow for job descriptions and resumes.
Built TF-IDF retrieval and ranking pipelines to improve candidate-job relevance scoring.
Developed validation and quality-check routines to improve recommendation consistency.
Collaborated with backend teams on integration, testing, and deployment readiness.

Technologies:

Python FastAPI Langchain

TF-IDF

LLMs