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AI Engineer with less than a year in RAG-based systems, Python & Data Evaluation
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science graduate with hands-on experience building AI-powered systems, including a deployed RAG-based travel chatbot and financial analysis dashboards. Skilled in Python, LangChain, ChromaDB, and data evaluation workflows. Strong written English and structured analytical reasoning. Experienced in interpreting digital content, identifying quality issues in AI outputs, and applying consistent judgment in task-based environments.
University of Jaffna
Bachelor Of Science · Computer Science
August 1, 2021 – June 30, 2024
Technical College
ICT Technician
August 1, 2020 – June 30, 2020
World Travel Island
Trainee Engineer - AI/ML
March 1, 2026 – Present
India
Mobile Application for Garage System
June 24, 2026 – Present
Built a full-stack mobile app for online garage booking with RESTful APIs and optimized MySQL queries. Managed version control with Git in a collaborative academic team environment.
RAG-Based Tax Question Answering System
June 24, 2026 – Present
Built a Logistic RAG system to answer tax-related questions using provided documents. Implemented document ingestion, text chunking, and semantic search using LangChain and ChromaDB. Integrated Groq LLM API to generate accurate, context-aware responses based on retrieved document content. Developed FastAPI-based back-end RESTful API to access the RAG Q&A pipeline.
Heart Failure Prediction Model
June 24, 2026 – Present
Built a Logistic Regression model to predict patient survival using clinical records dataset. Performed EDA and feature selection to identify key predictors: time, ejection_fraction, and serum_creatinine. Achieved ~86% accuracy, evaluated using confusion matrix, precision, and recall. Implemented a prediction function to allow user input of medical values for real-time survival risk estimation.
Google Advance Data Analytics
December 1, 2025 – Present
Google Data Analytics
August 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, including academic, personal, and professional projects, indicates a proactive learning attitude and adaptability. The experience as a 'Trainee Engineer - AI/ML' aligns well with an AI Engineer role, showing a clear career path towards AI/ML. The breadth of skills across AI/ML, data, and web development suggests a versatile individual who can contribute to various aspects of a project.
Soft Skills & Operational Fit
The candidate's professional summary highlights strong written English, structured analytical reasoning, and experience in interpreting digital content and identifying quality issues in AI outputs, which are crucial for operational fit in an AI engineering role. The academic and personal projects demonstrate initiative and problem-solving skills.