Lead Machine Learning Architect at Airudi Inc.
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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%.
Structuring Machine Learning Projects
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
edX Verified Certificate for Computational Probability and Inference
edX
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
AI Agents and Agentic AI with Python & Generative AI
Vanderbilt University
June 24, 2026 – Present
Fast & Efficient LLM Inference with vLLM
DeepLearning.AI
June 24, 2026 – Present
Networked Life
Coursera
June 24, 2026 – Present
Machine Learning Foundations: A Case Study Approach
Coursera Course Certificates
June 24, 2026 – Present
Algorithmic Toolbox
Coursera Course Certificates
June 24, 2026 – Present
6.008.1x: Computational Probability and Inference
edX
June 24, 2026 – Present
AI Agents Fundamentals
Hugging Face
June 24, 2026 – Present
Writing in the Sciences
Coursera
June 24, 2026 – Present
CS1156x: Learning From Data
edX
June 24, 2026 – Present
Machine Learning: Regression
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning: Clustering & Retrieval
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning Specialization
Coursera Course Certificates
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Generative AI with Large Language Models
Coursera
June 24, 2026 – Present
Machine Learning: Classification
Coursera Course Certificates
June 24, 2026 – Present
Convolutional Neural Networks
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
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.