Sep 2025 – Present · 6 mos

• Lead R&D efforts for a Sinhala OCR system designed to accurately extract content from both printed and handwritten documents. My role focuses on building the full pipeline from data to deployment and ensuring high-quality text recognition for real-world use cases.
• Key Responsibilities
• Leading the design and development of the complete OCR pipeline for Sinhala documents.
• Building and managing datasets, annotation workflows, and quality-assurance processes.
• Developing preprocessing, text extraction, and post-processing components to improve recognition accuracy.
• Running experiments, model training, and evaluations to optimise performance.
• Creating synthetic data and augmentation strategies to strengthen handwriting recognition.
• Building scalable inference workflows and supporting deployment of OCR services.
• Supporting technical interviews and evaluating candidates on OCR/ML fundamentals.
• Working with cross-functional teams to shape the roadmap for automated exam-paper extraction.

Aug 2025 – Feb 2026 · 6 mos · Colombo

• Leading R&D and system design for an AI-driven fraud detection platform for digital banking. My role focuses on architecting intelligent risk-scoring workflows, strengthening behavioural analytics, and building scalable components that enhance fraud prevention and customer trust.
• Key Responsibilities
• Designing and developing the core AI/ML pipeline for real-time fraud detection.
• Building secure data ingestion, transformation, and feature-engineering workflows.
• Implementing behavioural-analysis models to detect suspicious activity patterns.
• Integrating LLM-based scoring and decision-support mechanisms.
• Running experiments, model evaluations, and continuous optimisation cycles.
• Developing dashboards and tooling to support fraud-analyst investigation workflows.
• Ensuring system scalability, reliability, and compliance with data-privacy standards.
• Collaborating with cross-functional teams to shape the long-term fraud-prevention roadmap.

Jul 2025 – Present · 8 mos · Colombo · Remote

Jul 2025 – Present · 8 mos · Colombo · Remote

• As Founder of Zuu Crew, I lead the creation of a next-generation AI and Machine Learning education platform designed to make advanced ML skills accessible, practical, and industry-ready for learners across South Asia and beyond. My role focuses on curriculum design, content development, and building an ecosystem that trains students to become production-ready AI engineers.
• Key Responsibilities
• Designing end-to-end learning pathways covering Machine Learning, Data Science, LLMs, Agentic AI, and modern AI Engineering.
• Building hands-on, industry-aligned coursework that teaches real-world systems: pipelines, MLOps, LLMOps, agentic workflows, and scalable ML architectures.
• Leading the development of multi-week bootcamps, capstone projects, and instructor-led programs focused on practical AI skills.
• Creating AI-powered tools, coding templates, and project frameworks to support student learning and portfolio building.
• Overseeing platform strategy, content quality, and student experience across all programs and cohorts.
• Driving community building through workshops, events, and public sessions on cutting-edge AI topics.
• Collaborating with industry partners to ensure relevance, job alignment, and real-world use-case exposure.
• Managing branding, marketing, and partnerships to expand Zuu Crew’s presence and impact across the region.

Mar 2025 – Aug 2025 · 5 mos · Colombo, Western Province, Sri Lanka

• Lead R&D efforts for an automated recruitment platform powered by Large Language Models (LLMs). My role focuses on designing the end-to-end system architecture, enabling intelligent candidate screening, and ensuring a reliable, scalable AI-driven hiring workflow.
• Key Responsibilities
• Leading the design and development of the complete LLM-powered recruitment automation platform.
• Building pipelines for CV parsing, candidate ranking, job–candidate matching, and structured data extraction.
• Creating prompt workflows, evaluation logic, and post-processing components to improve matching accuracy.
• Running experiments, model fine-tuning, and benchmarking to optimise performance across diverse job roles.
• Developing synthetic data and augmentation strategies to handle rare job categories and ambiguous CV formats.
• Designing scalable inference workflows and supporting deployment of AI services into production.
• Conducting technical interviews and assessing candidates on LLMs, NLP fundamentals, and prompt engineering.
• Collaborating with cross-functional teams to shape the roadmap for intelligent hiring and automated shortlisting.

Aug 2024 – Present · 1 yr 7 mos · Sri Lanka · Hybrid

• Lead AI engineering efforts across multiple product teams at Veracity Group, driving the development of large-scale AI solutions and ensuring technical excellence in NLP, Computer Vision, and Data Analytics initiatives. My role focuses on strategic leadership, system architecture, and guiding teams to deliver high-impact, production-ready AI systems while actively supporting pre-sales and client-facing engagements.
• Key Responsibilities
• Leading and mentoring three specialised AI teams across NLP, Computer Vision, and Data Analytics, ensuring alignment with organisational goals and engineering standards.
• Architecting end-to-end AI solutions and driving innovation across multiple products and internal platforms.
• Designing intelligent automation workflows that enhance operational efficiency and improve customer experiences.
• Integrating advanced AI models and scalable pipelines into production to optimise business performance across departments.
• Providing strategic technical direction, reviewing solution architectures, and ensuring quality and reliability of deployed AI systems.
• Collaborating with leadership, engineering, and business teams to identify opportunities for AI-driven transformation.
• Overseeing experimentation, prototyping, and model evaluation to ensure continuous improvement of AI capabilities.
• Building internal AI standards, documentation practices, and engineering processes to support long-term scalability and growth.
• Supporting pre-sales activities including proposal creation, technical solutioning, client pitches, and shaping AI roadmaps for potential engagements.

Apr 2023 – Aug 2024 · 1 yr 4 mos · Colombo, Western Province, Sri Lanka · Hybrid

• Design and deliver scalable, high-performance machine learning systems for large-scale digital products serving millions of customers. My role focused on building intelligent solutions, optimising end-to-end pipelines, and ensuring reliable, real-time predictions across mission-critical applications.
• Key Responsibilities
• Designing and developing ML models and inference systems capable of operating at massive scale across millions of users.
• Building robust data pipelines, feature engineering workflows, and distributed processing systems for high-volume datasets.
• Implementing model optimisation techniques, hyperparameter tuning, and performance benchmarking to maximise accuracy and efficiency.
• Developing real-time prediction services and integrating them into production-grade cloud and on-premise environments.
• Setting up automated retraining, continuous monitoring, and fine-tuning workflows to keep models adaptive to changing behaviour patterns.
• Collaborating closely with engineering, product, and analytics teams to translate business problems into high-impact ML solutions.
• Leading experimentation, feasibility studies, and algorithm evaluations for new AI initiatives.
• Ensuring system reliability, scalability, and performance through distributed computing and modern cloud infrastructure.

May 2021 – Apr 2023 · 1 yr 11 mos · Colombo, Western Province, Sri Lanka · Hybrid

• Build and optimise large-scale data and machine learning pipelines for telecommunication products. My role focused on delivering scalable, high-performance systems for real-time insights, predictive analytics, and automated decision-making across network and customer operations.
• Key Responsibilities
• Designing and developing end-to-end data pipelines for large-scale processing and feature engineering using PySpark.
• Building, training, and automating machine learning models tailored for telecom use cases.
• Implementing retraining workflows, monitoring mechanisms, and automation pipelines to maintain model accuracy over time.
• Optimising on-premises compute environments to handle high-volume telecom datasets efficiently.
• Developing scalable ETL workflows and ensuring data quality, consistency, and reliability across distributed systems.
• Collaborating with cross-functional teams to integrate ML outputs into real-time telecom applications and dashboards.
• Conducting performance tuning, resource optimisation, and job scheduling to maximise throughput in distributed environments.
• Supporting experimentation, benchmarking, and deployment of ML models for network behaviour prediction and customer insights.

Feb 2023 – Jun 2024 · 1 yr 4 mos · Malabe, Western Province, Sri Lanka · On-site

Jan 2023 – Jan 2024 · 1 yr · Sri Lanka · On-site

Jan 2022 – May 2022 · 4 mos · Sri Lanka · Remote

Nov 2021 – Aug 2024 · 2 yrs 9 mos

Aug 2021 – Jul 2024 · 2 yrs 11 mos

Jul 2019 – Dec 2019 · 5 mos · Nugegoda

• Developing Object detection algorithms based on MaskRCNN & Amazon web servers