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context-aware-retrieval-engine
May 13, 2026 – Present
Local RAG pipeline benchmarking raw vector search vs LLM-enhanced query expansion. ChromaDB + sentence-transformers, with Vertex AI SDK adapters and full pytest suite.
View ProjectAccount_Data_analysis-
April 14, 2026 – Present
Account_Data_analysis- — GitHub repository
View ProjectHealthCareAI
March 1, 2025 – March 1, 2025
LLM-powered multi-agent system built using Autogen Studio to assist patients with healthcare-related tasks.
View Projectqa_chatbot
September 22, 2024 – September 22, 2024
This project demonstrates the use of Retrieval-Augmented Generation (RAG) to build a QA bot. By combining document retrieval using Pinecone with generative models, the system can answer user queries with contextually relevant information, creating a powerful and efficient tool for businesses that need to extract information from large documents.
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on LLMs and RAG, which aligns with modern data science trends. However, the lack of diverse project types or team-based work makes it difficult to fully assess cultural fit beyond technical alignment. The projects are all personal, suggesting a preference for individual contribution or a lack of opportunity for collaborative work.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's projects indicate an ability to work independently on technical challenges.