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[____PS: Originally employed at Havfram that got acquired by DEME in April 2025, rebranded, and integrated to DEME management lines____] Data Engineer to the central Data Engineering team in Data Analytics Office (DAO) at HQ (Antwerp), working remotely (Visits to work from HQ quaterly) from DEME Offshore Norway (DONO), Oslo, Norway. * Responsible for data integrations primarily related to Finance department and secondarily to other internal, external data needs; via Azure Synapse, Azure SQL DBs & Azure Databricks, Azure Analysis Service.

[__PS: Acquired by DEME in April 2025 & Rebranded to DEME Offshore Norway__] Sole & 1st Data Engineer to the IT Dept., Havfram Management As, Oslo, Norway. (Norwegian Offshore Wind Energy Company) * Design & Lead establishing new Data Analytics Platform based on Azure Databricks Medallion Architecture * FP&A tool Adaptive Planning, Ignite Procurement tool integration to ERP via existed AWS DWH using REST APIs, AWS Glue, Snowflake

Senior Data Scientist to the Data Science Dept., Posten Bring As, Oslo, Norway. (The norwegian state-owned primary logistics company across all Nordics) * Data Engineering & Data Analysis tasks using Az Synapse Studio, Az Databricks in Python and PySpark, SQL * Real-time DATEX GML data streaming from Statens Vegvesen REST APIs via PySpark, Python, Docker, AKS * Production level Deep Learning models’ training migration from AKS to Az Databricks workflows including planning & leading the work * Time-series based supervised DL Model tuning, maintenance with PyTorch & MLOps with MLflow for the main ML project of the company: ETA for billions of shipment across multiple Nordics countries * Azure AutoML application for a time-series forecasting problem with PySDK v2 * Unstructured data (SharePoint, Az DevOps wikis, GitHub READMEs) ingestion with unified MS Graph REST API & other REST APIs via Az Databricks for a company LLM project * Participation in technical interview rounds in hiring processes for a team member and 4 summer interns

Sole & 1st Full-Stack Data Operation Engineer (Data Engineering + DataOps) to the Analytics Platform team at Ice Communication AS, Oslo, Norway. (Norway's 3rd Largest Mobile Operator) [__Later aquired by Lyse__] * Develop ETL & handle DWH operations of new mobile subscription product NiceMobil launch * Implementing unsupervised ML solution on time-series data for anomaly detection in multi-aspects of DWH daily operations during first 6 months: detecting abnormal behavior of data vaults, data marts, backups, stored procedure, ETL jobs, Tableau extracts using KNN & Isolation Forest in PyCaret * Improving automation in recurring tasks & notifications to Microsoft Teams: ETL status, Broken views, Server low space, Server unreachability, Backup failure, Skewed tables, Data replication status * ETL creation, debugging, scheduling, Java tool for template SQL generation to fasten ETL tasks * MLOps: Linux server mgt, Jupyter user workspace facilitation inside Docker with Conda, Python, Bash, MLFlow: experiments, model training, logging, registering, prediction

PhD Researcher to the Data-driven Software Engineering dept, at Simula Research Laboratory, Oslo, Norway. (Norwegian state-owned research laboratory) [__Employed with a 3-year work permit to Simula & affiliated to University of Oslo (UiO) for the purpose of course work & degree-granting authority__] **Research Title: Source Code Vulnerability Detection using Machine Learning and NLP.** * One-hot encoding, Gensim Word2Vec embedding & a novel compact encoding using srcML to dimensionality reduction on function bodies & supervised vulnerability prediction using BiLSTM, CNN & Transformer * CML with GitLab CI, DVC pipeline, SLURM job executions in HPC cluster and Tensorboard * PDF text analysis on scientific paper collection for a systemic literature review using OCRmyPDF, NLTK and SpaCy libraries * Completed courses at UiO: MNSES910-Science, Ethics and Society, IN405-Introduction to Artificial Intelligence and Machine Learning ✅

To the Dept of Computer Science and Eng., University of Moratuwa, Sri Lanka. (During the Master of Philosophy (MPhil) 2-year full-time research.)

Teaching course materials, practicals, guiding, and assignment preparations to Computer Science & Software Engineering undergraduate students.

1. XBee ZB Based Algorithm for SLAM Problem of Indoor Mobile Robots (Experimental Project, Embedded Systems Research Group, UCSC) * An indoor localization and tracking problem using a wireless network of XBee ZB devices configured with XCTU and Arduino programming 2. Social Life Networks for Farmers (SLN4F) (Intern Research Project, Social Life Networks Research Group, UCSC) * Pests and disease data management using SQL and SPARQL, UI design and web development in MVC architecture