Hire Jatin K. - RAG Engineer

* Built a scalable microservices-based RAG platform using Python, FastAPI, Google Gemini, Docker, and PostgreSQL to support production-grade LLM inference, retrieval, and evaluation. * Designed a high-performance document ingestion pipeline with intelligent chunking, background processing, and caching for reliable large-file handling. * Implemented automated LLM evaluation with DeepEval, generating synthetic datasets from PDFs and tracking Faithfulness and Answer Relevancy via FastAPI webhooks. * Developed dual Streamlit interfaces for real-time RAG chat, document management, and administrative evaluation workflows. * Enabled data-driven monitoring and optimization by integrating Metabase analytics over PostgreSQL to visualize usage patterns and model performance.

Built a strong foundation in Python, including OOP, modular design, and clean scripting. Performed data cleaning, preprocessing, EDA, and visualization using Pandas, NumPy, and Seaborn, applying techniques like correlation analysis and visual storytelling. Completed hands-on projects including a Smart Traffic Light Control System and a Movie Review Sentiment Analyzer.

Integrated RESTful APIs to enable dynamic data fetching across responsive web applications, gaining practical experience in API integration, database modeling, and deployment concepts. Collaborated using Git version control for code management, versioning, and maintaining clean development workflows.