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AyeshSharuka/README.md

Hi, I'm Ayesh Sharuka 👋

AI/ML Developer · MSc Artificial Intelligence @ Dublin Business School

Building intelligent systems that solve real-world problems - from LLMs to cloud-deployed ML pipelines.

LinkedIn GitHub Location


About Me

I'm an AI/ML Developer with a BSc in Industrial Statistics from the University of Colombo and currently pursuing an MSc in Artificial Intelligence at Dublin Business School, Ireland. I specialise in building end-to-end AI solutions - from data pipelines and model training to cloud deployment and API integration.

Previously, I worked as an AI/ML Developer at EMUQ TECH Inc. (remote, US) and as a Trainee in Group Analytics & AI at Dialog Axiata PLC (Sri Lanka's largest telco), where I developed a Natural Language to SQL system using Google Gemini and a customer churn prediction model on AWS SageMaker.

I'm passionate about Generative AI, LLMs, NLP, and scalable cloud architectures.


Tech Stack

Languages Python SQL Java

AI / ML TensorFlow Scikit-learn AWS SageMaker Amazon Bedrock Google Gemini LLMs NLP Deep Learning Reinforcement Learning

Cloud & DevOps AWS (EC2, S3, SageMaker, Bedrock, Route 53, CodeCommit, VPC) Snowflake MLOps

Frameworks & Tools FastAPI Flask OAuth 2.0 Git Jupyter Power BI

Data Pandas NumPy Statistical Analysis Exploratory Data Analysis Data Visualisation


Experience

AI/ML Developer - EMUQ TECH Inc. (Jul 2024 – Sep 2025 · Remote, US)

Developed Python modules, designed APIs, trained and deployed ML models. Led AI-driven audio mastering tool and SEO content generation platform.

Trainee, Group Analytics & AI - Dialog Axiata PLC (Feb 2024 – Sep 2024 · Colombo, LK)

Built NL-to-SQL system with Gemini, developed ANN churn prediction model on SageMaker.


Education

MSc Artificial Intelligence - Dublin Business School, Ireland (Sep 2025 - Sep 2026)

BSc Industrial Statistics - University of Colombo, Sri Lanka (Aug 2019 - May 2023)


Get in Touch

  • LinkedIn
  • Reach out via LinkedIn for collaborations or opportunities

Built with curiosity and a lot of Python ☕

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