Siddhant Navele
Senior Engineer @ ZS
About
As a Senior Generative AI Engineer at ZS, spearheaded the implementation of Agentic AI for Multi-Source Retrieval-Augmented Generation (MSRAG), reducing data processing time by 80%. Contributed to scalable architectures and implemented prompt engineering techniques to ensure robust performance in regulated environments. Holds a Bachelor's degree in Information Technology from MIT ADT University. Previously at Ascendion & Collabera Digital, optimized open- and closed-source LLMs for diverse business use cases, enhancing AI adoption and operational efficiency. Core competencies include Generative AI, Databricks, and Solution Architecture. Motivated to drive transformative AI innovation through collaboration and technology.
India
Pune District
Information Technology & Services
Databricks, GenerativeAi, Solution Architecture, Team Leadership, Python (Programming Language), Datsbricks, Flask, streamlit, starburst, Amazon Web Services (AWS), Amazon Bedrock, LangChain, langgraph, llama-index, Large Language Models (LLM), Data Analysis, Hadoop, Hive, Informatica, Teamwork
Experience

Senior Generative AI Engineer
Pune, Maharashtra, India
• Spearheaded the implementation of Generative AI solutions using Agentic AI, enhancing Multi-Source Retrieval-Augmented Generation (MSRAG) capabilities. • Developed a high-performance data ingestion pipeline, achieving an 80% reduction in processing time for large datasets. • Enhanced solution reliability through prompt engineering and scalable architectures, ensuring robust performance in regulated environments.

Data Engineer
Bengaluru, Karnataka, India
Leading teams in designing and delivering enterprise-scale Generative AI solutions for clients, leveraging cutting-edge advancements in AI on platforms like AWS, Databricks, and more. Driving innovation, scalability, and efficiency through state-of-the-art AI architectures and best practices.

Data Engineer
Bengaluru, Karnataka, India
Designed and developed enterprise Generative AI solutions, including natural language text-to-SQL applications and multiple RAG-based systems. Worked extensively with both open-source and closed-source LLMs, optimizing them for various business use cases. Contributed to the in-house practice team by building PoCs, improving productivity, and streamlining processes to enhance AI adoption and operational efficiency.
Siddhant Navele's Contact Information
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