About me

Results-driven Associate AI Solution Architect with a strong foundation in Applied AI, cloud & DevOps, Database & API management. Proventrack record of designing and implementing AI-driven solutions that drive business growth and transformation.

Adept at leveraging technology to create strategic business value, with the motive of expanding the industrial knowledge with public to adopt new technologies.

What i'm doing

  • Personal Projects icon

    Generative AI Developments

    Innovative and cutting-edge solutions in Generative AI.

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    Gen AI solutions in Cloud

    Design and Deployment Gen AI solutions in AWS, GCP, Azure

  • Other Developments icon

    Personal, Private AI workflows

    Develop fully local, private AI automation and workflows using local models for privacy focused systems.

Clients

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Resume

Experience

  1. Gen AI Solution Engineer - Mooflife Cooperation

    2024 — Present

    Specializing in building Gen AI applications, Experienced with LLMs (Llama, OpenAI, Mistral), LLM frameworks like (LangChain, LlamaIndex) and other Agentic AI frameworks, vector databases and prompt engineering techniques. Responsible for the full development lifecycle, from requirements gathering to API development, deployment and maintenance. Python, OpenAI, LangChain, MongoDB, Vector DBs, Wikipedia, FastAPI, GitHub Actions, Azure

  2. Gen AI Backend Engineer - CognicData

    2025 — 2026

    Specializing in the deployment of Generative AI within complex client environments. I bridge the gap between core engineering and real-world impact by building scalable data pipelines and LLM solutions that solve high-stakes business problems from concept to production. Python, OpenAI, LangChain, MongoDB, Vector DBs, FastAPI, GitHub Actions, Azure

Education

  1. Bachelor of Science, University of Kelaniya

    2021 — 2024

    Statistics, Computer Science & Mathematics

  2. Maliyadeve College, GCE A/L

    2016 — 2019

Technical Skills

  1. Programming Languages

    Python, Golang, Rust

  2. Libraries & Frameworks

    Python, NumPy, Pandas, Scikit-Learn, Keras, Matplotlib, Seaborn, LangChain, Llama Index, FastAPI, OpenAI

  3. Databases

    MongoDB, MySQL, PostgreSQL, VectorDB's

  4. Cloud Deployments & DevOps

    AWS, Azure, Azure AI Foundry, GCP, Docker, Kubernetes, Redis, Git, GitHub, Github Actions, CI/CD

  5. Generative AI & LLM Operations Intermediate

Professional Certificates

  1. Python for Data Science, AI & Development – IBM

  2. Introduction to Large Language Models

  3. Introduction to Generative AI

  4. Introduction to Responsible AI

  5. Data Science Methodology – IBM

  6. Tools for Data Science – IBM

  7. What is Data Science? – IBM

  8. Machine Learning Engineering for Production (MLOps)

My skills

  • Python
    80%
  • Generative AI
    80%
  • Machine Learning & Data Analysis
    60%
  • API Development
    80%
  • AWS, Azure, GCP Cloud Hosting
    70%

Blog

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