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AI Engineer with less than a year in data science & machine learning
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Motivated Data Science undergraduate at the Sri Lanka Institute of Information Technology (SLIIT) with hands-on experience in data analysis, machine learning, and statistical modeling. Skilled in extracting meaningful insights from complex datasets to drive data-informed decisions. Ability to work in collaborative environments and deliver practical solutions to real-world problems. Eager to apply analytical and technical expertise in a dynamic internship opportunity to contribute to impactful data science projects
Sri Lankan Institute of Information Technology (SLIIT)
BSc (Hons) · Information Technology Specializing in Data Science
August 1, 2022 – June 30, 2026
Nalanda College
G.C.E Advanced Level · Physical Science Stream
June 1, 2017 – May 31, 2020
President's College, Kotte
G.C.E Ordinary Level
June 1, 2017 – May 31, 2017
Sri Lanka Telecom PLC
AI/ML Engineer Internship
July 22, 2025 – January 22, 2026
India
Skill Sharing Web Application - Talentry
January 1, 2025 – June 1, 2025
An application where users can share their talent with other users
View ProjectMediRAG - Medical Q and A system (Ongoing)
January 1, 2025 – Present
A Hybrid Instruction-Aware Medical RAG Pipeline integrating HyDE-based query expansion with instruction-tuned embeddings and adaptive retrieval scoring to improve domain-specific medical QA reliability.
"AgroPulse" - AgroPulse is not just a tool it's a transformation engine for Sri Lanka's agriculture
January 1, 2025 – June 1, 2025
AI/ML Engineering, Power BI/Looker Studio Dashboards, Data Engineering and model integration.
Microsoft Copilot Studio / Dify Chat Agent Integration
January 1, 2025 – June 1, 2025
Developed an internal chatbot using Microsoft Copilot Studio and Dify, creating RAG based AI Chat assistant and connecting it to organizational knowledge sources to automate HR and administrative inquiries.
Data Warehousing and BI Project for Pet Sales
January 1, 2025 – June 1, 2025
An end-to-end ETL solution developed for a Pet Sales system. An OLAP cube was created using Data warehouse as the source. Developed a Power BI dashboard to showcase the findings, insights.
Real-Time Environmental Sound Classification Project
January 1, 2025 – June 1, 2025
Developed a real-time environmental sound classification system using MFCC-based feature extraction and cosine similarity on the ESC-50 dataset. Designed a sliding-window audio processing pipeline with temporal smoothing and silence handling to enable stable, low-latency predictions from continuous microphone input.
View ProjectInsurance Types Recommendation Based on Predicted Income
January 1, 2024 – June 1, 2024
Developed a product which suggests the most suitable insurance package to a customer based on their income, age and work-class. The income of an individual is predicted using a machine learning model.
View ProjectMoviePedia - Domain-specific (Movie) Search Engine
January 1, 2024 – June 1, 2024
A search engine where users can search for movies by explaining the movie plot. All movies that matches the explained plot, will be given as results.
View ProjectCultural Fit Analysis
The candidate's academic projects demonstrate a proactive and innovative approach to problem-solving, particularly in areas like medical Q&A, agriculture, and environmental sound classification. This diversity of projects suggests adaptability and a willingness to tackle various challenges. The internship at Sri Lanka Telecom PLC, though future-dated, indicates an aspiration for real-world application of skills. The candidate's involvement in NBQSA awards also points to a drive for excellence and recognition. However, the experience is predominantly academic, and the cultural fit for a fast-paced industry role would need further validation.
Soft Skills & Operational Fit
The candidate's resume highlights strengths in time management, critical thinking, teamwork, and communication, which are crucial for operational fit. Project descriptions indicate an ability to work on end-to-end solutions and collaborate, though specific examples of collaboration or problem-solving in a professional setting are limited due to the academic nature of most projects.