Highly analytical AI/ML Engineer and Full Stack Developer with a robust foundation in real-world system development and industrial engineering. Proven ability to design, develop, and deploy scalable web applications and advanced AI/ML solutions, including predictive analytics, RAG systems, and knowledge graph pipelines. Eager to leverage a diverse technical skill set and project leadership experience in global opportunities, driving innovation and delivering impactful results.
Mechanical Site Engineer
N/A, N/A, N/A
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Summary
Managed and supervised heavy engineering projects, ensuring adherence to quality, safety, and project timelines within a dynamic industrial environment.
Highlights
Oversaw heavy engineering operations, including welding and fabrication, ensuring stringent compliance with industry standards and project specifications.
Implemented comprehensive safety assurance protocols, significantly reducing potential workplace incidents and fostering a secure work environment.
Conducted rigorous quality control inspections, ensuring all fabricated components met high-quality benchmarks and operational requirements.
Managed project timelines and resources, collaborating with cross-functional teams to deliver complex engineering projects efficiently and within budget.
Fullstack Developer
N/A, N/A, N/A
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Summary
Led the development and maintenance of the Freecords web platform and mobile application, supporting over 200,000 users with a focus on robust, scalable solutions.
Highlights
Developed and maintained the Freecords website and app, successfully supporting a user base of over 200,000+ through continuous feature enhancements and performance optimizations.
Implemented full-stack solutions using Javascript, React.js, Next.js, Node.js, and Typescript, ensuring high scalability and responsiveness across platforms.
Utilized Git for version control and collaborative development, streamlining workflows and facilitating efficient code management for critical updates.
Contributed to the entire software development lifecycle, from conceptualization to deployment, delivering a seamless and engaging user experience.
AI Engineer
N/A, N/A, N/A
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Summary
Provided specialized AI engineering services, focusing on predictive analytics, Retrieval Augmented Generation (RAG) systems, and time-series analysis for diverse client projects.
Highlights
Developed and deployed predictive analytics models to solve complex business problems, enhancing decision-making capabilities for clients.
Designed and implemented Retrieval Augmented Generation (RAG) systems, improving information retrieval and content generation efficiency by leveraging advanced NLP.
Applied advanced time-series analysis techniques to extract insights and forecast trends, delivering actionable intelligence for various applications.
Managed end-to-end project lifecycles for AI solutions, from data acquisition and model development to deployment and performance monitoring.
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BSc (Hons.)
Manufacturing and Industrial Engineering
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High School Diploma
General Certificate of Education (Advanced Level)
Published by
The 5th International Electronic Conference on Agronomy
Summary
Published an abstract titled 'AI Driven Paddy (Oryza sativa) Yield Forecasting Using Open Satellite Data, Weather APIs and Historical Data for Sri Lankan Agro Zones' at the 5th International Electronic Conference on Agronomy 2025.
Issued By
Coursera
Issued By
United Nations Office for Outer Space Affairs (UNOOSA)
Issued By
Kaggle
Issued By
MATLAB Study Portal
Issued By
LinkedIn Learning
Python, SQL, Javascript, Typescript, HTML, CSS, C, MATLAB, R.
Git, Node.js, Docker, Slack, Linux, MS Windows, Mac OS, Claude.
SolidWorks, AutoCAD.
Adobe Premiere Pro, Adobe Photoshop.
Predictive Analytics, RAG (Retrieval Augmented Generation), Time-Series Analysis, Neural Networks, XGBoost, Random Forest, CatBoost, MLP, MistralAI, Faiss.
React.js, Next.js, Node.js, Typescript, Javascript, HTML, CSS, Flask, FastAPI, Streamlit, Nginx.
SQL, Pandas, RDF, SPARQL, OCR, Serpapi.
Project Management, Quality Control, Safety Assurance, Fabrication, Welding.
Senior Lecturer, Dept. of Manufacturing and Industrial Engineering, Faculty of Engineering, University of Peradeniya | mahad@eng.pdn.ac.lk | +94 81-239 3651
Data Scientist, Dialog Axiata PLC | thilini.deshika@dialog.lk | +94 71 324 7828
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Summary
Developed an industrial-grade Retrieval Augmented Generation (RAG) chatbot system for accurate and efficient welding defect diagnosis.
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Summary
Independent research project focused on developing machine learning models to predict music emotions from audio signal features.
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Summary
Designed and implemented an AI-powered knowledge graph pipeline for diagnosing faults in satellite power systems.
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Summary
Developed a microservice-based framework for simulating satellite telemetry, utilizing Python, Node.js, Docker, Nginx, and Neural Networks.
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Summary
Created a web platform for exoplanet classification, employing various machine learning algorithms and web technologies.
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Summary
Research project focused on developing an AI-driven system for paddy yield forecasting in Sri Lankan agro zones, integrating satellite data, weather APIs, and historical agricultural data.
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Summary
Independent research focused on predicting water storage levels in Sri Lanka using GRACE satellite data, machine learning, and down-scaled spatial modeling techniques.
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Summary
Provided freelance cinematic video editing services, translating concepts into engaging visual narratives for various clients.
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Summary
Engaged in music production, including composition, audio mixing, and mastering, demonstrating creative and technical audio engineering skills.