Oct 2024 – Mar 2025 · 5 mos · Stockport, England, United Kingdom · Remote

• As a Principal Data Scientist at the Age Check Certification Scheme, I developed and implemented a robust evaluation framework for the Australian Government’s Age Assurance Technology Trial (AATT), ensuring reliability, privacy, and inclusivity. I led the integration of global standards into testing processes, enhancing functional suitability and security of age verification technologies.

Sep 2024 – Present · 1 yr 8 mos · Greater Sydney Area · Hybrid

• Leading Coderra’s build of a vertical AI agent platform that automates real operational workflows.
• Own end-to-end technology: multi-agent orchestration, LLM/RAG systems, APIs, data pipelines, evaluation, MLOps/LLMOps, security, and observability — designed for production reliability and auditability.
• Building and scaling an engineering team across Australia and Sri Lanka, setting standards for delivery cadence, quality, and responsible AI.
• Partnering directly with early customers to translate messy use cases into shippable systems with measurable outcomes.

Sep 2023 – Aug 2024 · 11 mos · Sydney, New South Wales, Australia · Hybrid

• Utilized Vertex AI to develop and implement advanced machine learning models, enhancing predictive analytics and insights derived from large datasets processed through BigQuery.
• Designed and executed robust data pipelines, leveraging GCP's scalable infrastructure to optimize data ingestion, transformation, and storage, significantly improving data availability and analytical outcomes.
• Spearheaded the integration of Contact Center AI (CCAI) solutions within the customer service framework, leveraging natural language understanding and AI-driven insights to significantly enhance customer interaction and satisfaction.

Dec 2021 – Jun 2023 · 1 yr 6 mos · Sydney, New South Wales, Australia · Hybrid

• Implemented GPT-based models using Hugging Face and OpenAI frameworks to generate coherent and contextually relevant responses in natural language understanding tasks.
• Designed and implemented data pipelining workflows using Databricks and Snowflake on AWS, ensuring seamless data integration, transformation, and analysis for large-scale chat transcript datasets, enabling efficient model training and inference processes.
• Developed accurate and scalable machine learning and time series models for prediction and forecasting purposes, enabling data-driven decision-making and proactive planning across various domains.
• Leveraged natural language processing techniques to classify chat transcripts into multiple categories, enabling effective organization and retrieval of information for data-driven insights.
• Developed advanced topic extraction and semantic analysis models to unlock patterns and semantic structures within texts, extracting valuable insights for strategic decision-making and business optimization.
• Implemented a machine learning-based search engine utilizing state-of-the-art techniques, allowing efficient retrieval of relevant chat transcripts based on user search queries, enhancing user experience and information accessibility.

Aug 2021 – Aug 2025 · 4 yrs · Wollongong, New South Wales, Australia · Hybrid

• Develop course materials for Master’s and Executive-level subjects in Business Analytics and Medical Imaging Analytics.
• Provide expert guidance on analytical challenges and research initiatives through consulting services.
• Assess assignments and projects, delivering constructive feedback to enhance student learning in advanced analytical subjects.

Aug 2018 – Nov 2021 · 3 yrs 3 mos · Wollongong, Australia · On-site

• Transformed raw data into efficient database structures through meticulous analysis, ensuring optimal data organization and accessibility.
• Executed a comprehensive range of analyses, encompassing exploratory, descriptive, predictive, and prescriptive segments, to derive meaningful insights and support informed decision-making.
• Communicated data-driven insights and key findings effectively by creating compelling visual representations and artifacts.
• Established standardized ETL/ELT processes and tools, enabling seamless data discovery, extraction, and facilitating robust model development and evaluation.
• Developed advanced machine learning, deep learning, and time series models in Python, R, and Microsoft SQL Server environment to enable accurate prediction and forecasting, driving data-based decision-making.
• Utilized a diverse array of scientific computing, data analytics, machine learning, deep learning libraries such as Numpy, Pandas, Matplotlib, Plotly, Scikit-Learn, Apache Spark, Keras, and Tensorflow, to effectively analyze, model, and extract insights from data.

Nov 2016 – Jul 2018 · 1 yr 8 mos · Singapore · Hybrid

• Analyzed business requirements and translated them into practical solutions, focusing on the product perspective to address complex data engineering and data science challenges.
• Contributed to the development of cutting-edge products aimed at building smart factories, leveraging an industrial IoT platform to empower manufacturers with real-time operational insights, predictive analytics, and smart automation capabilities.
• Performed diverse responsibilities including requirements gathering, validation, process mapping, gap analysis, UML diagramming, wireframe modeling, and conducted data querying, analysis, and modeling. Produced comprehensive technical documentation such as software requirement specifications, client release notes, and user manuals.
• Demonstrated proficiency in a wide range of technologies relevant to data engineering and data science, including Cassandra, Apache Kafka, Elasticsearch, MongoDB, RethinkDB, InfluxDB, Redis, SQLite, Java Spring Boot, Python, R, VMware, and AWS, ensuring efficient and scalable data processing, storage, and analysis.
• Collaborated closely with product managers as a Scrum Master in an agile environment, effectively managing project workflows and ensuring smooth progress. Utilized JIRA for issue tracking, backlog management, and work logging, streamlining overall project management processes.

Feb 2015 – Oct 2016 · 1 yr 8 mos · Sri Lanka · Hybrid

• Collaborated with engineers and developers throughout all stages of the software development life cycle, working on various infrastructure layers in an agile ecosystem.
• Gathered requirements from clients and conceptualized system designs, including system architecture, application, and domain models.
• Proficient in both frontend and backend programming environments, with experience in relational, non-relational, and object-oriented databases.
• Utilized Java, C#, and MySQL for standalone implementations, as well as HTML/CSS, JavaScript, PHP, AngularJS, MongoDB, Node.js, and WordPress for mobile and web development projects.
• Conducted manual and automated testing based on project requirements, employing Selenium and JUnit testing frameworks for test automation.