Neethumol TK

Knowledge Catalogue System.

• Architected and implemented an enterprise knowledge catalog using AI and vector search.
• Built retrieval pipelines for embeddings, chunking, indexing, and metadata unification.
• Increased asset utilization and discovery across platforms.
• Integrated LLMs via APIs, and optimized local model serving pipelines.
• Improved application performance by optimizing Python code and implementing best practices.
• Applied LangChain for the orchestration of retrievers, tools, and evaluation workflows.
• Built custom Docker containers for Python/LLM services, and deployed them on Azure Kubernetes Service (AKS).
• Technologies: Python, Azure AI, Vector DBs, LangChain.

Collaboration Studio Application

• Designed and developed a metadata-driven ecosystem with a GenAI-infused open data catalog.
• Added unit and integration tests to ensure the reliability and maintainability of Python services.
• Technologies: Python, Snowflake, Unity Catalog, MySQL, GraphQL, LangChain.

Other Projects

• Developed a data preparation tool, automated bill processing, and reporting dashboards.
• Built backend services and REST APIs using Flask.
• Designed lightweight UIs for data exploration using Streamlit.
• Worked independently to design, develop and test code.
• Ensured timely delivery of high-quality products through diligent project management and prioritization of tasks.
• Implemented API integration for seamless communication between different software components within the organization''s ecosystem.
• Collaborated with cross-functional teams to design, develop, and implement high-quality Python applications.