Remote, N/A, India
Summary
Contributed to GenAI and full-stack development projects, leveraging Python, MERN stack, Flask, and Streamlit within Databricks to enhance intelligent document processing.
Highlights
Contributed to GenAI and full-stack development initiatives, leveraging Python, MERN stack, Flask, and Streamlit within Databricks to enhance intelligent document processing systems.
Designed and implemented LLM-powered Retrieval-Augmented Generation (RAG) workflows, integrating semantic search, vector databases, and embedding models to develop advanced chatbot systems.
Utilized Databricks services, including apps, serving endpoints, utility catalogs, APIs, and SQL warehouse, to develop and deploy scalable AI solutions.
Applied MLflow for robust experiment tracking and collaborated with Figma for UI/UX design, ensuring seamless end-to-end solution development.
Developed and optimized data-driven pipelines with MySQL, facilitating structured data storage, efficient retrieval, and seamless integration with AI workflows.