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Lead Machine Learning Architect at Airudi Inc.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
An engineer by training, I love using data to build better, smarter products that have a positive impact on society.
Coursera
Deep Learning Specialization, Deep Learning
January 1, 2019 – January 1, 2019
Udacity
Nanodegree Self Driving Car Engineer, Artificial Intelligence
January 1, 2016 – January 1, 2017
University of Washington
Machine Learning Specialization, Artificial Intelligence
January 1, 2016 – January 1, 2017
University of Moratuwa
Master of Science (M.Sc.), Computer Science
January 1, 2010 – January 1, 2012
University of Moratuwa
Master’s Degree, Information Technology
January 1, 2005 – January 1, 2011
University of Moratuwa
Bachelor's Degree, Engineering
January 1, 2000 – January 1, 2004
Airudi Inc.
Lead Machine Learning Architect
May 1, 2023 – Present
Airudi Inc.
Machine Learning Architect
November 1, 2021 – May 1, 2023
Airudi Inc.
Technical Lead - Machine Learning
October 1, 2020 – November 1, 2021
Imagia Canexia Health
Machine Learning Developer
August 1, 2019 – October 1, 2020
Greater Montreal Metropolitan Area
Cut+Dry
Machine Learning Architect
January 1, 2019 – July 1, 2019
Sri Lanka
Cloud Solutions International
Senior Technical Lead - Machine Learning
January 1, 2018 – January 1, 2019
Sri Lanka
SYNERGEN Health LLC
Technical Lead - Machine Learning
June 1, 2017 – January 1, 2018
Sri Lanka
Mentor Google Summer of Code
May 1, 2016 – August 1, 2016
Remote
WSO2
Associate Technical Lead
April 1, 2014 – May 1, 2017
Sri Lanka
Virtusa
Senior Software Engineer
January 1, 2011 – March 1, 2014
Colombo, Sri Lanka
Fast Search Transfer
Software Engineer
September 1, 2007 – December 1, 2010
Colombo, Sri Lanka
Advanced Road Lane Finding
February 1, 2017 – Present
► Developed a road vehicle tracking system using machine learning and computer vision. ► Trained system to identify and track road vehicles with fewer false positives.
Behavioral Cloning: Navigating a Car in a Simulator Using Deep Learning
January 1, 2017 – Present
►Trained a deep neural network using Keras to autonomously navigate a car in a simulator by predicting steering angles. ►Trained model generalized well and was able to successfully navigate on previously unseen road tracks.
Traffic Sign Recognition Program using Deep Learning
December 1, 2016 – Present
► Developed a Deep Convolutional Neural Network to classify traffic signs using Tensorflow. ► Used the German Traffic Signs Classification Dataset for training, validation, and testing. ► Performance of the final model against testing dataset was 96.62%.
Machine Learning Specialization
Coursera Course Certificates
June 24, 2026 – Present
Writing in the Sciences
Coursera
June 24, 2026 – Present
Networked Life
Coursera
June 24, 2026 – Present
Discrete Optimization
Coursera
June 24, 2026 – Present
6.00.1x: Introduction to Computer Science and Programming Using Python
edX
June 24, 2026 – Present
CS1156x: Learning From Data
edX
June 24, 2026 – Present
Machine Learning Foundations: A Case Study Approach
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning: Regression
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning: Classification
Coursera Course Certificates
June 24, 2026 – Present
Algorithmic Toolbox
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning: Clustering & Retrieval
Coursera Course Certificates
June 24, 2026 – Present
edX Verified Certificate for Computational Probability and Inference
edX
June 24, 2026 – Present
Fast & Efficient LLM Inference with vLLM
DeepLearning.AI
June 24, 2026 – Present
6.008.1x: Computational Probability and Inference
edX
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
Sun Certified Java Developer (SCJD)
Sun Microsystems
June 24, 2026 – Present
AI for Medical Diagnosis
Coursera
June 24, 2026 – Present
Generative AI with Large Language Models
Coursera
June 24, 2026 – Present
AI Agents Fundamentals
Hugging Face
June 24, 2026 – Present
AI Agents and Agentic AI with Python & Generative AI
Vanderbilt University
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including personal projects in self-driving cars and traffic sign recognition, alongside professional experience in healthcare and supply chain, indicates a broad interest and adaptability. The continuous pursuit of certifications and specializations (Deep Learning, AI Agents, LLM Inference) demonstrates a strong commitment to continuous learning and staying current with industry trends, which aligns well with an innovative and growth-oriented culture. The progression through various technical lead and architect roles suggests a drive for impact and responsibility. The candidate's background aligns well with a role requiring deep technical expertise and a proactive approach to problem-solving in the ML domain.
Soft Skills & Operational Fit
The candidate's extensive experience in lead and architect roles suggests strong leadership, problem-solving, and project management skills. The descriptions of designing and deploying systems imply a hands-on, results-oriented approach. The mentorship role at Google further indicates a collaborative and knowledge-sharing mindset. However, without specific psychometric or communication test results, a definitive assessment of soft skills like stress handling or team collaboration is limited.