Jagadeesh Nalluri

About Jagadeesh Nalluri

Lead AI Engineer | Gemini Enterprise Search & Conversational AI | Google Cloud | Conversational AI Expert | Google Assistant | Dialogflow | Google Cloud Functions | Telephony IntegrationsAs a Lead AI Engineer, I specialize in guiding the design and implementation of secure, scalable, and sophisticated AI solutions on the Google Cloud Platform. My expertise is in bridging the gap between complex business requirements and cutting-edge technology to deliver tangible value.In my current role, I am leading the technical design and implementation of a federated enterprise search solution using Gemini Enterprise. This has involved architecting a resilient data ingestion pipeline with Dataflow and BigQuery, connecting disparate data sources (like AWS S3, Microsoft Dynamics 365, SharePoint), and ensuring rock-solid security. A key focus has been solving complex ACL (Access Control List) challenges by integrating identity providers like Okta and Entra ID via Workforce Identity Federation, guaranteeing that users only access the data they are authorized to see.This work builds upon my deep background as a Conversational AI Expert, where I have a proven track record of crafting innovative voice and chat bots using Dialogflow CX & ES. My proficiency extends from fulfillment and webhook development to integrating with diverse APIs, telephony gateways (Twilio), and messaging platforms.Previous Experience:In my role as an IVR Developer at Mobigesture, I excelled in crafting inbound and outbound call flows utilizing VXML technology. I seamlessly managed call controls through CCXML, working adeptly with industry-leading platforms including Avaya, Genisys, and Cisco. Notably, I spearheaded initiatives to integrate customer outbound calls with agent systems, providing real-time status reporting to our internal call management systems.Technical Expertise:My skill set encompasses FreeSWITCH installation, configuration, and dial plan development. I thrive in environments that require extensive knowledge of SIP protocols and integration of VXML-interpreted voice browsers on the FreeSWITCH platform. Beyond the core responsibilities, I continually explore cutting-edge technologies such as automated bot applications, advanced messaging techniques, data analysis utilizing WEBRTC, and innovative visual IVR applications.Open Source Contributions:Recently, I\'ve been engrossed in the development of a comprehensive FreeSWITCH UI. You can explore the project on GitHub: https://github.com/jagadeesh-J/FreeSwitch-UI.

Experience

1. Lead Ai Engineer

   HCLTech

   Feb 2024 — Present · Hyderabad, IN

   Project: Enterprise Search with Google GeminiLed the technical design and implementation of a secure, multi-cloud federated search platform to provide unified access to enterprise data assets stored across AWS, Microsoft 365, and internal systems. The solution leverages Gemini Enterprise to deliver intelligent, AI-powered search results to all staff and members.Led Architecture & Design: Guided the end-to-end solution architecture on Google Cloud, ensuring scalability, security, and maintainability.Solved Critical Security & Access Challenges: Engineered the core security framework to solve complex ACL (Access Control List) requirements. Implemented Google\'s Workforce Identity Federation to integrate with Okta and Entra ID, enabling real-time, attribute-based security trimming of search results. This ensures users only see the data they are explicitly authorized to access.Built a Resilient Data Ingestion Pipeline: Designed and implemented a scalable, decoupled data ingestion pipeline using Google Cloud Dataflow, Pub/Sub, and Cloud Storage. This pipeline efficiently processes and indexes data from diverse sources, including SharePoint, Microsoft Dynamics 365, and Amazon S3.Implemented Multi-Layered Security: Integrated a defense-in-depth security posture using Palo Alto Prisma for network inspection, Google Cloud Armor (WAF/DDoS) at the edge, and Model Armor to protect the core AI platform.Centralized Data for AI: Utilized BigQuery as the central data warehouse to store and prepare indexed content for the Gemini AI Platform, creating a single source of truth for enterprise knowledge.Technologies Used: Google Gemini Enterprise, Google Cloud Platform (GCP), Dataflow, BigQuery, Cloud Run, Pub/Sub, Workforce Identity Federation, Cloud Armor, Okta, Active Directory/Entra ID, Microsoft Dynamics 365, SharePoint, AWS S3.

Education

• KPR&JL SIDDHARTHA HIGH SCHOOL ELURU

  10, SSC

  2006 — 2008

• Https://Www.vignan.ac.in/

  Bachelor’s Degree, ECE

  2010 — 2014