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AI Engineer with 3+ years in Multi-Agent Systems & Deep Learning
A results-driven Data Scientist specializing in multi-agent system design, deep learning, and end-to-end AI platform development. Skilled in architecting modular agentic pipelines using LangChain and LangGraph, with hands-on expertise across computer vision, NLP, time series forecasting, and unsupervised clustering. Proven ability to operationalize production-grade MLOps pipelines on AWS, integrating transformer-based models, LLM-driven reasoning, and explainability agents into scalable enterprise solutions.
University of Wolverhampton
MSc. in Artificial Intelligence · Artificial Intelligence
August 1, 2023 – June 30, 2025
University of Peradeniya
BSc. Hons in Statistics and Operations Research · Statistics and Operations Research
August 1, 2018 – June 30, 2022
Dermerzel AI
Data Scientist
February 1, 2025 – Present
London, England, United Kingdom
BolgiaTen Limited
Data Scientist - Internship
September 1, 2024 – January 1, 2025
Liverpool, England, United Kingdom
Car Bees PVT LTD
Data Analytics - Trainee
April 1, 2023 – September 1, 2023
Colombo, Western Province, Sri Lanka
Axiata Digital Labs PVT LTD
Data Scientist - Trainee
November 1, 2022 – March 1, 2023
Colombo, Western Province, Sri Lanka
Healthcare Sector - Agentic AI Usecase (Dermerzel AI - SomnasNest)
June 27, 2026 – Present
Designed and developed an agentic AI platform for early neurological disease detection using EEG brainwave data, integrating deep learning models to identify patterns associated with Alzheimer's, Parkinson's disease, and sleep deprivation. Architected a multi-agent AI pipeline using LangGraph and LangChain for end-to-end clinical intelligence, including EEG preprocessing, disease prediction, brain-region analysis, clinical reasoning, treatment recommendation, report generation, and conversational assistance. Implemented LLM-driven clinical reasoning and RAG-based knowledge retrieval, enabling medically grounded interpretation of model outputs, contextual recommendations, and explainable diagnostic support.
Healthcare Sector - Computer Vision Usecase (Dermerzel AI)
June 27, 2026 – Present
Designed and developed an AI-powered body measurement and weight prediction system using deep learning models, integrating computer vision-based pose estimation and 3D body mesh analysis to estimate body metrics from photographs, and deployed the solution as a scalable AWS-powered inference API for real-time predictions.
Maritime and Security Sector - Predictive AI Usecase (Dermerzel AI - AIS Vessel Spoofing Detection)
June 27, 2026 – Present
Designed and developed an end-to-end AI system for AIS vessel spoofing detection, leveraging deep learning, unsupervised clustering, and maritime domain intelligence to identify vessels broadcasting manipulated location data. Architected a multi-stage detection pipeline combining vessel trajectory forecasting, deviation detection, spoofing pattern clustering, computer vision-based validation, and maritime rule-based reasoning to improve detection reliability and reduce false positives. Built a cloud-native MLOps workflow on AWS, integrating S3, Glue, Athena, SageMaker, Lambda, and API Gateway for scalable data processing, model training, real-time inference, and production deployment.
Telecommunication Sector : HR - NLP Usecase (Axiata Digital Labs)
June 27, 2026 – Present
Develop an AI-powered data anonymization solution leveraging NLP, large language models, and machine learning techniques to identify, classify, and protect sensitive personal information.
Prediction of Cardiac Diseases with Dobutamine Stress Echocardiography
2022 6th SLAAI International Conference on Artificial Intelligence (SLAAI-ICAI), IEEE.
January 1, 2022 – Present
Cultural Fit Analysis
The candidate's experience across multiple sectors (healthcare, maritime, telecommunications) and diverse AI use cases (agentic AI, predictive AI, computer vision, NLP) demonstrates a broad interest and adaptability, which aligns well with dynamic, innovation-focused environments. Their academic background and continuous engagement in R&D suggest a strong learning orientation. The current role at Dermerzel AI, focusing on scalable AI solutions and R&D, indicates a fit for roles requiring cutting-edge AI development and strategic thinking.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through complex AI system design and implementation. Their experience in presenting POCs to stakeholders indicates good communication and presentation abilities. Mentoring interns suggests leadership potential and a collaborative mindset. The diverse project portfolio highlights adaptability and a results-driven approach.