Viki Chaudhari

About Viki Chaudhari

GenAI & Data Engineer | Building the Future with Data and AII’m a GenAI & Data Engineer passionate about building intelligent, scalable, and future-ready data platforms using Databricks, Spark, AWS, and Large Language Models (LLMs). With 4+ years of hands-on experience, I enjoy transforming complex data and documents into AI-driven, conversational insights that empower faster and smarter decision-making.I work on cutting-edge GenAI solutions, designing AI-ready data pipelines, RAG systems, and agentic AI workflows that bridge the gap between data engineering and applied AI. My work has helped deliver 90% faster data processing, significant cost savings, and strong adoption of AI-powered analytics platforms.What excites me most is turning ideas into production-grade GenAI systems—solutions that are reliable, scalable, and impactful. I’m always eager to learn, experiment, and collaborate with people who believe AI can unlock new possibilities for businesses and individuals alike. Always exploring opportunities to build meaningful AI products, learn from the GenAI community, and contribute to innovative teams shaping the future of technology.

Experience

1. Consultant

   Deloitte

   Jul 2025 — Present · Pune, IN

   Project: Purina Petcare – Multi-Agent GenAI Analytics PlatformRole: GenAI & Data EngineerDesigned and productionized GenAI-enabled data and AI pipelines using Databricks, Azure, PostgreSQL, enabling scalable ingestion and AI-ready datasets.Built LLM-powered multi-agent workflows using FastAPI and Langfuse for conversational analytics, KPI monitoring, and AI-driven trend insights.Implemented LLM observability and tracing using Langfuse to monitor prompt performance, latency, cost, and response quality, improving reliability, governance, and production readiness of GenAI systems.Developed semantic layers and AI-ready data models to support real-time self-service analytics and downstream GenAI use cases.Project: Intelligent Swimlane Diagram ChatbotRole: GenAI EngineerDesigned and developed an AI-powered chatbot to generate and modify swimlane diagrams directly from business and process documents.Implemented LLM-based document understanding and embedding-based semantic retrieval for accurate context extraction.Built a chat-based interactive playground enabling users to refine diagrams through natural language conversations.Architected a fully serverless GenAI solution using AWS Lambda, Step Functions, and API Gateway for scalable, parallel document processing.Improved accuracy and performance through prompt optimization, workflow tuning, and backend monitoring.

Education

• North Maharashtra University

  BCA, Computer Application

  2016 — 2019

• Savitribai Phule Pune University

  Master of Computer Applications - MCA, Computer Application