Ishaan Bamba

Designed and deployed an AI Q&A chatbot using Langchain, RAG, Groq, and Llama 3.1 for context-aware responses. Integrated document loaders for efficient PDF and text management, utilizing RecursiveCharacterTextSplitter for optimized text chunking. Employed Huggingface embeddings and Pinecone for semantic understanding and scalable vector storage, creating Retrieval QA and Conversational Retrieval chains for real-time, context-sensitive user interactions.

Gained expertise in OSI Model, microservices, SOA, and Kubernetes for scalable system design. Automated file handling and data processing using Python, creating, unzipping, and validating control and data files with robust error handling. Enhanced workflow efficiency by implementing Python scripts to dynamically process files, verify metadata, and convert data into structured formats, improving system organization with folder architecture for seamless data archival.

Developed a data-driven dashboard using Apache Superset, integrating API-driven user activity, appointment classifications, and pricing metrics. Engineered complex visualizations and drill-down analytics for trends, cancellations, and geographic insights. Leveraged SQL for real-time data aggregation, transformation, and optimized query performance, leading to strategic operational optimizations.