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AI Engineer with less than a year in Software Engineering & Machine Learning
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Assessing your cultural and operational fit
I am an undergraduate at the University of Moratuwa, deeply passionate about coding, and committed to continuous growth in computer science. My focus areas include data analysis, machine learning, AI model training, and web and app development. I excel at working under pressure and consistently give my best effort to achieve meaningful and impactful results.
University of Moratuwa
Bachelor of Science of Engineering (Honors) · Computer Science and Engineering
May 1, 2022 – Present
Maliyadewa Boys College
GCE Ordinary Level
February 1, 2012 – October 1, 2020
Maliyadewa Boys College
GCE Advanced Level · Mathematics, Physics, Chemistry
February 1, 2012 – October 1, 2020
ZeroBeta Private Limited
Software Engineering intern
December 1, 2024 – May 1, 2025
Toronto, Ontario, Canada
Locally-run Domain Specific Lightweight LLM
July 1, 2025 – Present
A local-first, privacy-preserving AI that runs lightweight LLMs on everyday devices and enhances them with dynamic knowledge retrieval, delivering powerful reasoning and instruction-following without sending any data to the cloud.
View ProjectMicroservice Anomaly Detection System
July 1, 2024 – November 1, 2024
A web-based machine learning tool for identifying and notifying the user about whether there are anomalies in the system or not. This tool is used to identify the anomaly types which occur in microservices. My contribution to this project was to implement the front end, clean the data, evaluate the models we used for the ML part, and test the application as a whole.
View ProjectRPAL Language Interpreter
July 1, 2024 – June 1, 2026
Developed a lexical analyzer and parser to process RPAL language code. I contributed to the project by devising an algorithm for converting Abstract Syntax Trees (AST) into Standardized Trees (ST) and designing the Control Stack Environment (CSE) machine.
View ProjectData Manipulation & Model Training
January 1, 2024 – Present
Throughout various semesters, I engaged in collaborative projects and created notebooks focused on data analysis, training and testing datasets, and developing machine learning models.
View ProjectHappyFamily Project
December 1, 2023 – January 1, 2024
Developed as an entry for the Microsoft Imagine Cup, Happy Family is a mobile app designed to support family activity management and foster closer family connections through AI-driven features. My primary role focused on managing and optimizing the database to ensure seamless performance, while I also contributed to front-end design.
View ProjectE-Commerce website project
July 1, 2023 – November 1, 2023
In this project, I contributed to building a dynamic e-commerce website by managing and maintaining both the user and product databases to ensure data integrity and smooth functionality. Additionally, I was involved in front-end development, creating interactive and user-friendly components to enhance the website's overall user experience. My work included handling data flow between the server and client, ensuring a seamless and responsive interface for customers.
4-bit Nano Processor Design
March 1, 2022 – June 1, 2023
Designed a 4-bit nano processor capable of performing key operations such as addition, subtraction, left and right shifts, and negation. A primary focus was on optimizing energy consumption, where I contributed by designing parts of the ALU, implementing the Adder and timer clock, configuring registers, and connecting these components to ensure smooth operation and efficiency.
View ProjectFundamentals of Deep Learning
Unknown
December 9, 2025 – Present
AWS Academy Graduate - AWS Academy Machine Learning Foundations
AWS Academy
February 13, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from LLMs and anomaly detection to e-commerce and language interpreters, indicates a broad technical curiosity and adaptability. Participation in multiple competitions (SIIM-ISIC Melanoma Classification, Store Sales - Time Series Forecasting, Home Credit - Credit Risk Model Stability, ML Olympiad) demonstrates a competitive spirit and willingness to tackle diverse challenges. The target role of AI Engineer aligns well with the candidate's stated interests and project focus on AI/ML. The internship experience, though future-dated, suggests an understanding of professional software development environments.
Soft Skills & Operational Fit
The candidate's objective statement highlights a passion for coding, commitment to continuous growth, and ability to work under pressure, which are positive indicators for operational fit. Participation in team-based projects and competitions suggests collaboration skills. However, the resume does not provide explicit examples of leadership or complex problem-solving in a professional setting beyond project contributions.