About me

Freelancer, specializing in the strategic deployment of Generative AI. I bridge the gap between core product engineering and real-world client needs. My expertise lies in building robust data pipelines, optimizing LLM performance, and delivering production-ready AI solutions that solve complex, large-scale problems.

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

Daniel lewis
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Daniel lewis

Richard was hired to create a corporate identity. We were very pleased with the work done. She has a lot of experience and is very concerned about the needs of client. Lorem ipsum dolor sit amet, ullamcous cididt consectetur adipiscing elit, seds do et eiusmod tempor incididunt ut laborels dolore magnarels alia.

Clients

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Resume

Experience

  1. Gen AI Backend Engineer - CognicData

    2025 — Present

    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

  2. Gen AI Developer - 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

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%

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