Available to hire
Hi, I’m Mithuran Thurairatnam, a junior machine learning engineer with hands-on experience in computer vision, semi-supervised learning, and ML-backed web systems.
I’ve published research on Vision Transformer-based plant disease recognition and enjoy translating ML research into deployable applications using Python, TensorFlow, React, and Node.js.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Work Experience
Research Assistant (Computer Vision & Deep Learning) at Academic Research Lab
February 1, 2025 - PresentDesigned and evaluated computer vision pipelines for plant disease detection using Vision Transformers; trained and benchmarked models (ViT, Swin Transformer, ConvNeXt); implemented pseudo-labeling–based semi-supervised learning to improve performance with limited labeled data; contributed to dataset preparation, training optimization, and experimental evaluation for peer-reviewed publications.
Software Engineer Trainee at Smartzi Lanka (Pvt) Ltd
April 1, 2025 - PresentBuilt modular, reusable React components across internal modules to reduce UI duplication and improve maintainability. Developed responsive, production-ready interfaces aligned with product requirements. Collaborated with backend engineers and designers to deliver features under tight timelines.
Software Engineer Intern at Smartzi Lanka (Pvt) Ltd
August 1, 2024 - April 1, 2025Implemented reusable frontend components and optimized code for scalability and long-term maintainability. Delivered production UI features using React.js with a focus on performance and user experience.
Research Assistant (Computer Vision & Deep Learning)
February 1, 2025 - PresentDesigned and evaluated computer vision pipelines for plant disease detection using Vision Transformers on real-world agricultural datasets. Trained and benchmarked deep learning models including ViT, Swin Transformer, and ConvNeXt, comparing robustness and generalization. Implemented pseudo-labeling–based semi-supervised learning pipelines to improve model performance under limited labeled data. Contributed to dataset preparation, training optimization, and experimental evaluation for peer-reviewed publications.
Education
BSc (Hons) in Information Technology - Data Science at Sri Lanka Institute of Information Technology (SLIIT)
June 1, 2022 - June 1, 2026BSc (Hons) in Information Technology — Data Science at Sri Lanka Institute of Information Technology (SLIIT)
June 1, 2022 - June 1, 2026Qualifications
AWS Academy Graduate — Cloud Foundations
January 11, 2030 - January 26, 2026AI/ML Engineer — Stage I (SLIIT)
January 11, 2030 - January 26, 2026Python (Basic) — HackerRank
January 11, 2030 - January 26, 2026AWS Academy Graduate — Cloud Foundations
January 11, 2030 - January 27, 2026AI/ML Engineer — Stage I (SLIIT)
January 11, 2030 - January 27, 2026Python (Basic) — HackerRank
January 11, 2030 - January 27, 2026Industry Experience
Software & Internet, Education, Life Sciences, Professional Services, Agriculture & Mining, Other
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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