I’m an AI Engineer and MSc student in Data Science & AI, focused on building production-grade machine learning systems that turn complex problems into practical solutions. I’ve worked across NLP, RAG pipelines, computer vision, and agentic workflows, with a strong emphasis on accuracy, reliability, and delivering measurable impact. Alongside shipping agentic AI workflows, I enjoy mentoring students and helping them grow through research projects in machine learning, NLP, and image recognition. I’m especially interested in end-to-end system design taking data from ingestion and modelling through to deployment-ready services and continuously improving performance through iterative testing and prompt/logic refinement.…

Thinayani Gamage

I’m an AI Engineer and MSc student in Data Science & AI, focused on building production-grade machine learning systems that turn complex problems into practical solutions. I’ve worked across NLP, RAG pipelines, computer vision, and agentic workflows, with a strong emphasis on accuracy, reliability, and delivering measurable impact. Alongside shipping agentic AI workflows, I enjoy mentoring students and helping them grow through research projects in machine learning, NLP, and image recognition. I’m especially interested in end-to-end system design taking data from ingestion and modelling through to deployment-ready services and continuously improving performance through iterative testing and prompt/logic refinement.…

Available to hire

I’m an AI Engineer and MSc student in Data Science & AI, focused on building production-grade machine learning systems that turn complex problems into practical solutions. I’ve worked across NLP, RAG pipelines, computer vision, and agentic workflows, with a strong emphasis on accuracy, reliability, and delivering measurable impact.

Alongside shipping agentic AI workflows, I enjoy mentoring students and helping them grow through research projects in machine learning, NLP, and image recognition. I’m especially interested in end-to-end system design taking data from ingestion and modelling through to deployment-ready services and continuously improving performance through iterative testing and prompt/logic refinement.

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Skills

Experience Level

Python
Expert
JavaScript
Expert
TypeScript
Expert
C++
Expert
Data Science
Expert
PyTorch
Expert
Docker
Expert
Prompt Engineering
Expert
TensorFlow
Expert
AI Chatbot
Expert
AWS
Expert
SQL
Expert
Java
Expert
Kubernetes
Expert
PostgreSQL
Expert
MySQL
Expert
MongoDB
Expert
Redis
Intermediate
HTML5
Intermediate
Django
Intermediate
Data Visualization
Intermediate
API
Intermediate
ETL
Intermediate
OpenStack
Intermediate
PHP
Intermediate
React Native
Intermediate
Object Detection
Intermediate
Google Cloud
Intermediate
Azure
Intermediate
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Language

English
Fluent
Sinhala, Sinhalese
Fluent

Work Experience

AI Engineer at Axcertro
November 1, 2025 - Present
Built an agentic AI workflow in Python to classify food ingredients from images across 50 categories. The system flags harmful substances and generates breed-specific meal plans, reducing manual review time. Iteratively fine-tuned prompts and agent logic across multiple test scenarios to improve safety assessment accuracy and reduce 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.
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.
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 two novel algorithms to optimize fillet operations and implemented a novel tongue-filleted exit pipe algorithm to improve geometric accuracy.

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, Education, Healthcare
    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.