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Data Engineer with 1+ years in Data Engineering and AI/ML Research
SnowPro Associate Certified Data Engineer and AI/ML Researcher with hands-on experience in building scalable data pipelines, multilingual NLP systems, and workflow automation. Skilled in SQL, Snowflake, PySpark, and Python, with proven ability to ingest, clean, and analyze large datasets across 30+ international databases. Experienced in developing Streamlit dashboards and integrating Azure AI, Hugging Face, and Microsoft Copilot Studio to deliver actionable insights and automation solutions. Adept at bridging traditional database systems with modern cloud platforms, ensuring data quality, integrity, and business value. Passionate about leveraging data engineering and AI to solve complex problems in enterprise and research environments.
University of Jaffna
Bachelor of Science Honours · Computer Science
August 1, 2020 – June 30, 2025
AFFIXCON Pvt Ltd
Data Engineer
July 1, 2025 – Present
India
SLT-Mobitel, Research and Development (AI/ML)
AI & Machine Learning Research Intern
October 1, 2024 – April 1, 2025
Kurunegala, North Western Province, Sri Lanka
House Prices Predictor System
January 1, 2026 – December 31, 2026
Built ML and deep learning models to predict house prices based on structured datasets. Implemented regression algorithms and neural networks, improving prediction accuracy compared to baseline models. Showcased end-to-end ML workflow: data preprocessing, feature engineering, model training, and evaluation.
View ProjectInternship Placement System (AI Agent System)
January 1, 2025 – December 31, 2025
Built a candidate filtering and placement system with SharePoint integration. Automated CV ranking and OTP-based verification.
View ProjectMAGIC Gamma Analysis
January 1, 2025 – December 31, 2025
Analyzed the MAGIC Gamma Telescope dataset to classify gamma vs. hadron events. Implemented k-Nearest Neighbors (kNN) and neural network models for event classification. Demonstrated ability to handle scientific datasets, apply ML algorithms, and evaluate performance metrics.
View ProjectImage Processing for Hydroponics
January 1, 2024 – December 31, 2024
Built image processing algorithms to detect nutrient deficiencies in hydroponic plants, achieving 85% accuracy in leaf color analysis. Processed 200+ plant images via Google Colab, measuring plant height and leaf area for automated monitoring.
GDP Dashboard
January 1, 2024 – December 31, 2024
Built an interactive dashboard to visualize GDP data across countries. Demonstrated data visualization, Python scripting, and Streamlit deployment.
View ProjectSmart POS Mobile
January 1, 2024 – December 31, 2024
Developed a mobile Point-of-Sale system with inventory and transaction features. Showcased mobile commerce and UI/UX design.
View ProjectOnline Delivery System
January 1, 2023 – December 31, 2023
Developed a full-stack online delivery platform, creating responsive front-end interfaces and secure back-end APIs. Enabled seamless customer-shop owner interactions
SnowPro Associate Certification
Snowflake
May 1, 2026 – Present
Cultural Fit Analysis
The candidate's profile shows a strong inclination towards both data engineering and AI/ML research, indicating a versatile and curious individual. The variety of personal projects, from ML models to full-stack development and mobile apps, suggests a broad interest in technology and a self-starter attitude. The current role as a Data Engineer aligns well with the target role, and the internship experience in AI/ML research demonstrates a willingness to explore different technical domains. This breadth of experience and continuous learning mindset would likely contribute positively to a dynamic and innovative team culture.
Soft Skills & Operational Fit
The candidate's project descriptions and work experience highlight an ability to work on diverse projects, suggesting adaptability and problem-solving skills. The experience with AI agents and automation tools indicates an operational mindset focused on efficiency. The detailed descriptions of project outcomes (e.g., 95% query resolution accuracy, saving 10 hours weekly) suggest a results-oriented approach. However, without direct interview data, a comprehensive assessment of soft skills like teamwork, leadership, and stress handling is limited.