I'm Thinayani Gamage, an AI Engineer and MSc student in Data Science & AI, with over two years building production-grade ML applications across NLP, RAG, and computer vision. By day I ship agentic AI workflows and by night I mentor the next generation of ML engineers. I love turning complex data problems into intelligent, scalable solutions.…

Thinayani Gamage

I'm Thinayani Gamage, an AI Engineer and MSc student in Data Science & AI, with over two years building production-grade ML applications across NLP, RAG, and computer vision. By day I ship agentic AI workflows and by night I mentor the next generation of ML engineers. I love turning complex data problems into intelligent, scalable solutions.…

Available to hire

I’m Thinayani Gamage, an AI Engineer and MSc student in Data Science & AI, with over two years building production-grade ML applications across NLP, RAG, and computer vision.

By day I ship agentic AI workflows and by night I mentor the next generation of ML engineers. I love turning complex data problems into intelligent, scalable solutions.

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Skills

Experience Level

Python
Expert
JavaScript
Expert
TypeScript
Expert
C++
Expert
PyTorch
Expert
Docker
Expert
TensorFlow
Expert
Data Science
Expert
AWS
Expert
SQL
Expert
Java
Expert
Kubernetes
Expert
MongoDB
Expert
MySQL
Expert
PostgreSQL
Expert
HTML5
Intermediate
Django
Intermediate
Data Visualization
Intermediate
API
Intermediate
OpenStack
Intermediate
PHP
Intermediate
React Native
Intermediate
Google Cloud
Intermediate
Azure
Intermediate
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Language

English
Fluent

Work Experience

AI Engineer at Freelance / VitalCanin
November 1, 2025 - Present
Built an Agentic AI workflow in Python classifying food ingredients from images across 50 categories, flagging harmful substances and generating breed-specific meal plans, reducing manual review time. Iteratively fine-tuned prompts and agent logic across multiple test scenarios, improving safety assessment accuracy and reducing false-positive flags.
Student Mentor at Informatics Institute of Technology
May 1, 2025 - Present
Mentor and supervise final year students through Research Projects in ML, NLP and Image Recognition.
Student Mentor (Part-time) at Informatics Institute of Technology
May 1, 2025 - Present
Mentor and supervise final-year undergraduate students on research projects in Machine Learning, Natural Language Processing and Image Recognition.
Software Engineer at EvonSys
January 1, 2025 - October 31, 2025
CSA with hands-on experience designing and developing applications, including end-to-end workflows, data models, and UI components. Designed and configured Smart Dispute and Smart Investigate processes, integrating external and enterprise systems through RESTful API integrations.
ML Developer (Part-time) at Eco Loop (Freelance)
November 1, 2024 - June 30, 2025
Developed an image-based machine learning model to estimate food waste quantities for the Eco Loop mobile application, supporting sustainable waste management initiatives in Sri Lanka. Also built an AI workflow for the VitalCanin project to classify ingredients from images and generate meal plans, focusing on prompt engineering and fine-tuning to improve accuracy.
Associate Software Engineer at EvonSys
November 1, 2023 - January 31, 2025
Engineered scalable application components and data structures for multiple demo and project-based applications built from the ground up. Applied advanced coding concepts and best practices to streamline business processes, while integrating AI/ML features to enhance application intelligence and automation.
Trainee Software Engineer - Internship at TurboGen
August 1, 2021 - August 1, 2022
Built C++ mathematical models using Open CASCADE to generate geometric turbo shapes, implementing Boolean, fusing, and fillet/chamfer algorithms. Developed 2 novel algorithms to optimise fillet operations and implemented a novel tongue-filleted exit pipe algorithm, improving geometric accuracy.
Trainee Software Engineer at TurboGen
August 1, 2021 - August 31, 2022
Built mathematical models to generate complex geometrical shapes using C++ and Open CASCADE, including Boolean operations, fillet, chamfer, and fusing algorithms. Designed and implemented new C++ algorithms to optimize Open CASCADE fillet operations. Developed a novel tongue-filleted exit pipe algorithm for a turbo system.

Education

BSc (Hons) Computer Science at Informatics Institute of Technology – University of Westminster, UK
January 1, 2020 - January 1, 2023
MSc in Data Science and Artificial Intelligence at University of Moratuwa, Sri Lanka
January 1, 2025 - January 1, 2027

Qualifications

Certified System Architect (CSA)
January 11, 2030 - February 27, 2026

Industry Experience

Software & Internet, Professional Services, Media & Entertainment
    Formula1-PitWall-AI

    F1 strategy intelligence powered by RAG. Ask anything about race results, tyre strategies, qualifying, pit stops, and lap data from 2010 to 2023.
    Built an end-to-end RAG system answering natural language queries over 13 years of F1 race data and telemetry.
    Ingested 2,800+ race passages from Jolpica F1 API and FastF1, converting structured data into semantically rich text for embedding.
    Built a two-stage retrieval pipeline. SentenceTransformer embeddings + Qdrant vector search, reranked with a cross-encoder for precision.
    Served via a FastAPI streaming backend with a locally hosted Llama 3.2 model and a Streamlit chat UI with real-time source attribution.