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Lahiru W.

Lahiru W.

AI & Machine Learning Engineer · Senior

Sri Lanka · Rate on request

Professional Overview

PhD computer vision researcher (UVA). camera-independent depth estimation (WACV 2024), multimodal clinical disease prognosis models, few-shot sensor learning for activity recognition. PyTorch, Python, Slurm/AWS. Built and shipped real systems, not just benchmarks. Open to remote CV/ML roles.

Experience

Company
University of Iowa
Jun 2024 – Nov 2025
Role title
Research Scholar

AI Expertise

AI & Machine Learning Engineers

Skills

Python PyTorch

Employment Type

Full-time

Description of Responsibilities

  • Built spatio-temporal multimodal deep learning models fusing clinical data with
  • Improved detection of Takotsubo cardiomyopathy by integrating structured clinica
  • Designed and trained deep learning models for medical video classification using
  • Scheduled and ran GPU-heavy training jobs on an SGE-based high-performance compu
Company
Elder Research, USA
Aug 2021 – Dec 2021
Role title
Machine Learning Intern

AI Expertise

AI & Machine Learning Engineers

Skills

Python PyTorch

Employment Type

Part-time

Description of Responsibilities

  • Explored neural differential equation methods for modeling space object dynamics
  • Programmed C libraries to extract data from NASA's SPICE toolkit for ML model tr
  • Developed and validated a neural differential equation solver for space object p
  • Communicated research outcomes and technical findings clearly to the broader tea
Company
University of Virginia
Aug 2017 – May 2024
Role title
PhD candidate

AI Expertise

AI & Machine Learning Engineers

Skills

Python PyTorch Keras

Employment Type

Full-time

Description of Responsibilities

  • Developed a camera-independent single-image depth estimation method outperformin
  • Designed CNN-based techniques for noise-robust speech emotion recognition, valid
  • Formulated a few-shot learning method for wearable-sensor activity recognition,
  • Co-designed an in-home care system for Alzheimer's patients; built the AWS data
  • Led design and data collection for a multimodal CPR performance dataset across 2

Education

School
University of Virginia
Aug 2027 – May 2024
Degree / Program
PhD

Field of Study: Computer Science

School
University of Virginia
Sep 2017 – May 2024
Degree / Program
PhD

Field of Study: Computer Science

School
Imperial College, London
Sep 2015 – Oct 2026
Degree / Program
MRes on Medical Imaging and Image Guided Intervention

Field of Study: Computer Science

Areas of Expertise

AI & Machine Learning Engineers

Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.

Data Science & Analytics

Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.

Open to

Full-time Part-time Contract Freelance Contract-to-hire

Experience Level

Senior

Current location

Sri Lanka

Time Zone

Colombo UTC+5.5

Primary Work Language

English

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