Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Hi there, I'm Kevin Dias, a junior machine learning engineer with hands-on experience in Python, ML, and data-driven problem solving from internships and academic projects. I enjoy building practical, real-world solutions and applying analytical thinking to AI challenges. I’m always eager to learn new tools and techniques to deliver impactful results. I’m seeking opportunities to apply AI/ML skills to data-driven problems, collaborate across teams, and grow my expertise in data modeling, visualization, and software engineering to create scalable solutions.…Hi there, I'm Kevin Dias, a junior machine learning engineer with hands-on experience in Python, ML, and data-driven problem solving from internships and academic projects. I enjoy building practical, real-world solutions and applying analytical thinking to AI challenges. I’m always eager to learn new tools and techniques to deliver impactful results. I’m seeking opportunities to apply AI/ML skills to data-driven problems, collaborate across teams, and grow my expertise in data modeling, visualization, and software engineering to create scalable solutions.

Kevin Dias

Full Stack Developer, Web Developer, Front-End Developer, +6





Hi there, I'm Kevin Dias, a junior machine learning engineer with hands-on experience in Python, ML, and data-driven problem solving from internships and academic projects. I enjoy building practical, real-world solutions and applying analytical thinking to AI challenges. I’m always eager to learn new tools and techniques to deliver impactful results. I’m seeking opportunities to apply AI/ML skills to data-driven problems, collaborate across teams, and grow my expertise in data modeling, visualization, and software engineering to create scalable solutions.…Hi there, I'm Kevin Dias, a junior machine learning engineer with hands-on experience in Python, ML, and data-driven problem solving from internships and academic projects. I enjoy building practical, real-world solutions and applying analytical thinking to AI challenges. I’m always eager to learn new tools and techniques to deliver impactful results. I’m seeking opportunities to apply AI/ML skills to data-driven problems, collaborate across teams, and grow my expertise in data modeling, visualization, and software engineering to create scalable solutions.

Available to hire

Hi there, I’m Kevin Dias, a junior machine learning engineer with hands-on experience in Python, ML, and data-driven problem solving from internships and academic projects. I enjoy building practical, real-world solutions and applying analytical thinking to AI challenges. I’m always eager to learn new tools and techniques to deliver impactful results.
I’m seeking opportunities to apply AI/ML skills to data-driven problems, collaborate across teams, and grow my expertise in data modeling, visualization, and software engineering to create scalable solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

Sinhala, Sinhalese

Fluent

English

Advanced

Italian

Beginner

Japanese

Beginner

Work Experience

Project Manager at Aeturnum Lanka

July 1, 2025 - November 1, 2025

Leading the development of an AI-driven recruitment platform that integrates NLP and machine learning for automated resume screening and job matching. Managing project timelines, task delegation, and coordination between team members and industry mentors, overseeing the implementation of resume parsing, cosine similarity-based matching engine, and dual recruiter/candidate dashboards, ensuring delivery of a production-ready web app following Agile SDLC practices.

Project Developer (Distributed Computing) - Individual Project at Curtin University

October 1, 2025 - October 1, 2025

Built a distributed system for submitting and executing Python jobs across networked desktop nodes with centralized job coordination. Implemented ASP.NET Core backend with Entity Framework Core, MVC monitoring dashboard, and WPF client with multithreaded job processing and TCP peer communication. Included async operations, heartbeat tracking, SHA256 verification, and robust error handling.

Software Developer - Online Gaming Lobby System at Curtin University

September 1, 2025 - September 1, 2025

Developed a multi-client gaming lobby for Mortal Kombat X featuring server-side user management, lobby creation, real-time messaging, and file sharing. Implemented both polling-based and duplex WCF clients for real-time communication.

Software Engineer - Railway Network Simulation at Curtin University

May 1, 2025 - May 1, 2025

Created a real-time railway simulation system managing town networks, goods production, and railway transportation using Java and object-oriented design patterns. Implemented State Pattern for construction phases and Observer Pattern for simulation events with multi-format output.

Android Developer - Calorie Tracker at Curtin University

October 1, 2024 - October 1, 2024

Designed and developed an Android app to track daily calorie intake with data visualization. Implemented meal logging, calorie calculations, and progress charts.

AI/ML Intern at Unified Mentor Gurugram

November 1, 2025 - February 28, 2026

Developed a mobile phone price classifier achieving 88% accuracy using Random Forest and scikit-learn, identifying RAM as a primary predictor across 2,000 devices.

AI/ML Intern at In LightnX Global Pvt Ltd

November 1, 2025 - Present

Contributed to multiple projects: built a credit card fraud detection system using Random Forest with SMOTE to address severe class imbalance; developed a medical image classification model using CNNs and VGG16 transfer learning to detect pneumonia from chest X-ray images with data augmentation to improve recall and generalization in TensorFlow/Keras; implemented an energy consumption prediction system using Random Forest Regression by combining meter data and weather features to forecast energy usage and evaluate performance with RMSE and visualization; created a detailed sales forecast model using ARIMA time-series analysis to predict future sales trends, supporting inventory planning and forecast evaluation.