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I'm Chamani Shiranthika, a PhD candidate in Engineering Science with 6+ years of experience as a software engineer and AI/ML practitioner. My work spans applied machine learning, deep learning, computer vision, LLM/RAG workflows, data pipelines, and production-oriented software development. I enjoy translating complex ideas into robust, reproducible experiments and collaborating with cross-disciplinary teams to solve real-world problems in healthcare and beyond. Currently based in Vancouver, I’m seeking AI/ML engineer, applied scientist, ML researcher, GenAI engineer, or data scientist roles (internship or full-time). I’m passionate about privacy-preserving decentralized learning, generative AI, and building reliable AI systems that perform well under distribution shift.…I'm Chamani Shiranthika, a PhD candidate in Engineering Science with 6+ years of experience as a software engineer and AI/ML practitioner. My work spans applied machine learning, deep learning, computer vision, LLM/RAG workflows, data pipelines, and production-oriented software development. I enjoy translating complex ideas into robust, reproducible experiments and collaborating with cross-disciplinary teams to solve real-world problems in healthcare and beyond. Currently based in Vancouver, I’m seeking AI/ML engineer, applied scientist, ML researcher, GenAI engineer, or data scientist roles (internship or full-time). I’m passionate about privacy-preserving decentralized learning, generative AI, and building reliable AI systems that perform well under distribution shift.

Chamani Shiranthika

AI Engineer, Data Scientist, Full Stack Developer, +2

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I'm Chamani Shiranthika, a PhD candidate in Engineering Science with 6+ years of experience as a software engineer and AI/ML practitioner. My work spans applied machine learning, deep learning, computer vision, LLM/RAG workflows, data pipelines, and production-oriented software development. I enjoy translating complex ideas into robust, reproducible experiments and collaborating with cross-disciplinary teams to solve real-world problems in healthcare and beyond. Currently based in Vancouver, I’m seeking AI/ML engineer, applied scientist, ML researcher, GenAI engineer, or data scientist roles (internship or full-time). I’m passionate about privacy-preserving decentralized learning, generative AI, and building reliable AI systems that perform well under distribution shift.…I'm Chamani Shiranthika, a PhD candidate in Engineering Science with 6+ years of experience as a software engineer and AI/ML practitioner. My work spans applied machine learning, deep learning, computer vision, LLM/RAG workflows, data pipelines, and production-oriented software development. I enjoy translating complex ideas into robust, reproducible experiments and collaborating with cross-disciplinary teams to solve real-world problems in healthcare and beyond. Currently based in Vancouver, I’m seeking AI/ML engineer, applied scientist, ML researcher, GenAI engineer, or data scientist roles (internship or full-time). I’m passionate about privacy-preserving decentralized learning, generative AI, and building reliable AI systems that perform well under distribution shift.

Available to hire

I’m Chamani Shiranthika, a PhD candidate in Engineering Science with 6+ years of experience as a software engineer and AI/ML practitioner. My work spans applied machine learning, deep learning, computer vision, LLM/RAG workflows, data pipelines, and production-oriented software development. I enjoy translating complex ideas into robust, reproducible experiments and collaborating with cross-disciplinary teams to solve real-world problems in healthcare and beyond.

Currently based in Vancouver, I’m seeking AI/ML engineer, applied scientist, ML researcher, GenAI engineer, or data scientist roles (internship or full-time). I’m passionate about privacy-preserving decentralized learning, generative AI, and building reliable AI systems that perform well under distribution shift.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

AI Engineer Intern at Project Manager Accelerator

June 1, 2026 - August 1, 2026

Contributing to a collaborative AI product project by translating user workflows into scoped AI-assisted features; supporting LLM workflow design, prompt design, output evaluation, and iteration based on failure cases; collaborating with cross-functional teams to align AI implementation with measurable product value.

Graduate Research Assistant at Simon Fraser University, School of Engineering Science

January 1, 2022 - Present

Designed, trained, and evaluated deep learning models for medical image segmentation. Built reproducible ML experimentation pipelines, including dataset preprocessing, model training, validation, ablation studies, and error analysis. Developed split-federated and decentralized learning methods to improve privacy, communication efficiency, and deployability across distributed medical imaging settings. Worked on generative AI, latent diffusion, causal-latent modeling, learned compression, and adaptive model/data adaptation under distribution shift.

Graduate Research Assistant at National Taipei University, Department of EECS

September 1, 2019 - August 1, 2021

Developed reinforcement-learning models for personalized cancer chemotherapy treatment planning; built experimental pipelines for noisy, high-stakes biomedical data; published reinforcement-learning treatment optimization work in IEEE Journal of Biomedical and Health Informatics and Computer Methods and Programs in Biomedicine.

Software Engineer - Big Data and Data Science at WSO2Telco

July 1, 2018 - August 1, 2019

Developed backend and data-processing components for telecom analytics, monitoring, reporting, and operational workflows. Built and maintained SQL/Java-based data workflows; supported large-scale telecom data processing, Elasticsearch, Logstash, and Kibana to support monitoring dashboards and log analytics.

Software Engineer Intern at Virtusa (Pvt) Ltd; Aspitio (Pvt) Ltd

August 1, 2016 - June 1, 2017

Supported software implementation, debugging, documentation, and delivery workflows in collaborative engineering teams, building early professional software engineering habits.