Deependra Dewagiri

I'm a Machine Learning Enthusiast Biomedical Engineer Coder Problem solver

A machine learning enthusiast at the University of Moratuwa studying biomedical engineering. My work spans research in AI based non-contact physiological monitoring, AI based eye-tracking for iPhones, AI-driven medical imaging to chatbots for medical education. With a strong foundation in problem-solving and innovation, I have contributed to global competitions and research projects, aiming to bridge the gap between AI technology and healthcare.

Why Hire Me?

I'm a driven engineering undergraduate with hands-on experience in AI healthcare solutions. My expertise in machine learning and problem-solving lets me craft innovative systems that tackle real world challenges.

My Experience

I’ve worked on projects ranging from non-contact physiological monitoring at the University of Sydney to developing gaze estimation models at Braingaze Inc. My roles in ML competitions and leadership further highlight my interdisciplinary skills.

Aug 2024 - Present

Research Affiliate

University of Sydney, Australia

Conducting research on non-contact physiological monitoring techniques under Prof. Anusha Withana. Focused on data preprocessing, analysis, and machine learning model development.

Nov 2023 - May 2024

ML and R&D Engineering Intern

Braingaze Inc., Spain

Worked on gaze estimation models using iPhone 13 for behavioral analysis. Developed deep learning models for eye movement classification, contributing to neurocognitive disorder research.

My Leadership & Volunteering

Throughout my academic and professional journey, I have taken leadership roles and volunteered in various technical and non-technical initiatives, contributing to engineering communities and competitions.

Aug 2022 - Aug 2023

Media Director

IEEE Engineering in Medicine and Biology Society - University of Moratuwa

Directed content creation (flyers, videos, proposals) for the club and managed PR strategies for events. Supervised the social media presence and coordinated promotional efforts.

Aug 2022 - Aug 2023

Design Team Lead

Brainstorm 2023 - Sri Lanka’s Premier Biomedical Engineering Competition

Led the content creation team for the competition, ensuring high-quality visual materials and promotional campaigns. Supervised content distribution on social media and event branding.

2023

Team Leader

Machine Learning Competitions

Led teams in high-profile ML competitions and projects:

  • Final year research project for AI based physiological paramater prediction
  • Microsoft Imagine Cup 2023
  • Image Matching Challenge 2023 - Organized by Google Research, Kaggle
  • IEEE Video and Image Processing Cup 2023 - Organized by IEEE SPS

Aug 2022 - Aug 2023

Choir Member (Soprano Vocalist)

Classical Music Society - University of Moratuwa

Contributed as a soprano vocalist in the university's official choir, participating in cultural and academic events.

My Education

Pursuing a B.Sc. in Biomedical Engineering at the University of Moratuwa, I’ve built a solid foundation in signal processing, machine vision, and device design, complemented by targeted online courses in machine learning and web development.

2019 - Present

B.Sc. Engineering (Hons.) in Biomedical Engineering

University of Moratuwa, Sri Lanka

Specialized in Signal Processing, Machine Vision, Image Processing, Pattern Recognition, Biomedical Device Design, Data Structures and Algorithms, and Biomedical Instrumentation.

2017 - 2019

GCE Advanced Level - Physical Science Stream

Sivali Central College, Ratnapura, Sri Lanka

Subjects: Combined Mathematics, Physics, Chemistry. Achieved a Z-Score of 2.6969.

2020

Introduction to Web Development with HTML, CSS, JavaScript

IBM (Coursera)

Completed an introductory course on front-end web development technologies.

2020

Neural Networks and Deep Learning

DeepLearning.AI (Coursera)

Learned the fundamentals of deep neural networks, including training, hyperparameter tuning, and optimization.

2020

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization, and Optimization

DeepLearning.AI (Coursera)

Gained insights into techniques for enhancing deep learning models, including regularization and optimization strategies.

2020

What is Data Science?

IBM (Coursera)

Explored the fundamentals of data science, its applications, and its impact on various industries.

2023

Google Cloud Big Data and Machine Learning Fundamentals

Google Cloud

Gained foundational knowledge in big data processing and machine learning on Google Cloud Platform.

2023

Introduction to Generative AI

Google Cloud

Explored generative AI models and their applications in various domains.

2023

Introduction to Image Generation

Google Cloud

Learned about AI-based image generation techniques and tools.

2022

Introduction to NFTs: Non-Fungible Tokens

LinkedIn Learning

Explored the fundamentals of blockchain-based NFTs and their applications.

2020

Python Core Course

Sololearn

Completed a structured Python programming course covering fundamental and advanced concepts.

My Skills

I have expertise in biomedical engineering, machine learning, and software development, with a strong foundation in signal processing, image processing, and deep learning.

Python
C++
MATLAB
TensorFlow
PyTorch
Keras
Scikit-learn
NumPy
Pandas
OpenCV
Machine Learning
Deep Learning
Image Processing
Biomedical Device Design
Signal Processing
Computer Vision
GCP
Azure
Git/GitHub
JavaScript
HTML5
CSS3

About Me

I am a passionate problem-solver at the intersection of technology and healthcare. My academic and professional journey fuels my drive for innovation and a positive impact through collaborative projects

Name Deependra Dewagiri

Gender Male

City Moratuwa, Sri Lanka

Nationality Sri Lankan

Experience Research Affliate

Full Time Available

Freelance Available

Email deependradewa@ieee.org

Languages English, Sinhala

Latest Projects

01

VideoPulse: Physiological Signal Extraction from Video (Final Year Project)

Developing a non-invasive system for neonatal physiological monitoring using rPPG technology, focusing on heart rate and blood oxygen saturation extraction from video data.

PyTorch, TensorFlow, OpenCV, NumPy, Scikit-learn

02

DahirCNN

DahirCNN is a deep learning project that leverages multispectral satellite imagery captured before and after disasters to automatically assess building damage. By employing advanced object detection and instance segmentation techniques, it generates detailed segmentation maps that speed up disaster response and reduce the need for hazardous on-site inspections.

Python, TensorFlow/Keras, PyTorch, OpenCV, NumPy, Pandas, GDAL

03

Medical Chatbot

A chatbot-based medical assistant built with Flask and AI models, utilizing Google Generative AI and Gemini Flash 2.0 for intelligent medical guidance and response generation.

Flask, Google Generative AI, Gemini Flash 2.0, Pinecone, Python

04

Liver Tumor Detection

Developed a U-Net-based segmentation model to detect liver tumors in medical images.

TensorFlow, FastAI, OpenCV, NumPy

05

NLP Name Detector

A Streamlit web app implementing Named Entity Recognition (NER) using spaCy.

spaCy, Streamlit, Python

06

Ophthalmic Biomarker Prediction

Developed contrastive and supervised models to predict biomarkers from OCT images.

TensorFlow (SimCLR), PyTorch (ResNet), Google Cloud

07

3D Reconstruction and Camera Pose Estimation

Imported image datasets to construct 3D models and predict 3D camera poses.

COLMAP, DISK, LoFTR

08

IoT Conference System

Developed an IoT-based system to control sound levels remotely using Firebase.

ESP32, Firebase, JavaScript

09

Remote Mobile Camera Shutter

Built a device that connects to a smartphone via Bluetooth to trigger the camera remotely.

Bluetooth, Microcontroller

10

IoT Clinical Thermometer

Developed an IoT-based thermometer system that uploads patient data and integrates with WhatsApp chatbots.

IoT, Python, Firebase

Achievements and Awards

01

AWS Kuyesera AI Disaster Damage & Displacement Challenge 2025 (World Rank: 21)

Achieved 21st place in this international challenge focused on developing machine learning solutions for disaster recovery. The project was supported by the AI For Equity Challenge in partnership with IRCAI and AWS, renowned for its cloud infrastructure, providing essential resources such as cloud GPUs, Amazon SageMaker, AWS Glue, and AWS Deep Learning AMIs that enabled efficient ML model development. IRCAI, dedicated to advancing theoretical and applied research in artificial intelligence, fosters open solutions and capacity building for sustainable development. The challenge also leveraged data from the Amazon Sustainability Data Initiative (ASDI) and hand-labeled datasets curated by Kuyesera AI Lab.

Machine Learning, Cloud Computing

02

Microsoft Imagine Cup 2024 (Semi-Finalist)

Led a team of undergraduates to build a scalable, AI-powered online image editor using a cutting-edge Azure ML tech stack. We integrated Azure Machine Learning for end-to-end model training and management, used Flask as our backend framework, and utilized MLflow for experiment tracking while streamlining our CI/CD pipeline with Azure DevOps. Our innovative solution was selected for Microsoft’s Startup Accelerator program and competed for the semi-final round.

Azure ML, MLflow, Azure DevOps, Flask, HuggingFace

03

IEEE SPS Video & Image Processing Cup 2023 (World Rank: 14)

As part of Team PixelVision, tackled ophthalmic clinical trials data using advanced image processing. Employed self-supervised and supervised models for 3D OCT data.

IEEE SPS, Image Processing

04

Image Matching Competition 2023 (Country Rank: 1)

Organized by Google Research & Haiper. Built a pipeline to create 3D scenes from 2D images using local feature extraction, matching, and COLMAP reconstruction.

COLMAP, DISK, LoFTR

05

Dean’s List Award (Semester 1, 2022)

Recognized for exceptional academic performance among Biomedical Engineering undergraduates at the University of Moratuwa.

Academic Excellence

06

Mahapola Higher Education (Merit) Scholarship (2019)

Awarded for outstanding GCE A/L results. Ranked #114 nationwide among over 19,000 students in the Physical Science stream. I achieved A grades in Chemistry, Combined Mathematics (Pure Math and Applied Math), and Physics, as well as A grades in English Language and General Knowledge.

National Merit Scholarship

07

Subhaga (Merit) Scholarship (2017)

Conferred by the Ministry of Education for exceptional academic performance during early high school years.

Merit Scholarship

08

XIX International Astronomy Olympiad (2014) & National Junior Astronomy Olympiad (2013)

Achieved Island First in the Sri Lankan National Junior Astronomy Olympiad (2013) with a perfect score, securing a place to represent Sri Lanka at the XIX International Astronomy Olympiad (2014) in Kyrgyzstan.

Astronomy, Astrophysics

09

First Place - National Mathematics Quiz Competition (2014)

Secured the top spot in a nationwide competition covering advanced problem-solving in mathematics. Organized by the Ministry of Education.

Mathematics Excellence

10

Bronze Medal - International Junior Science Olympiad (2013)

Won a Bronze Medal at IJSO 2013, an annual international science competition for students under the age of 16. Qualified for the national team through a rigorous selection process.

International Science Olympiad

11

Gold Medal - International Mathematics and Science Olympiad (2012)

Achieved a Gold Medal at IMSO 2012, a global competition for young students excelling in mathematics and science. Selected through a national-level process organized by the Ministry of Education.

International Math & Science Olympiad

Let's Work Together

I am a Engineering Undergraduate specializing in AI . Let's collaborate to innovate in the fields of AI and solve real world problems using AI.

Email

deependradewa@ieee.org

Address

University of Moratuwa, Sri Lanka

Contact Me!