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Editorial Advisory Board

  • Professor Andrea M. Armani, University of Southern California
  • Ruti Ben-Shlomi, Ph.D., LightSolver
  • James Butler, Ph.D., Hamamatsu
  • Natalie Fardian-Melamed, Ph.D., Columbia University
  • Justin Sigley, Ph.D., AmeriCOM
  • Professor Birgit Stiller, Max Planck Institute for the Science of Light, and Leibniz University of Hannover
  • Professor Stephen Sweeney, University of Glasgow
  • Mohan Wang, Ph.D., University of Oxford
  • Professor Xuchen Wang, Harbin Engineering University
  • Professor Stefan Witte, Delft University of Technology

Innovator of Scalable Real Estate Technology: Srikanth Jonnakuti’s Decade of Cloud-First Solutions and Multimillion-Dollar Impact via AI-Driven Automation

Innovator of Scalable Real Estate Technology: Srikanth Jonnakuti’s Decade of Cloud-First Solutions and Multimillion-Dollar Impact via AI-Driven Automation
From 2018–2025, Srikanth Jonnakuti designed cloud-native, AI-driven platforms at Realtor.com—GPU-accelerated recommendations, serverless AutoML, real-time pricing, zero-trust pipelines, quantum-inspired optimization, and sub-100 ms lead qualification—generating $80 M+ in revenue, saving tens of millions in costs and fines, ensuring 99.9% uptime, and boosting conversions, retention, and customer satisfaction.

In today’s hyper-competitive property marketplace, agility and intelligence in technology are non-negotiable. Srikanth Jonnakuti, Staff Software Engineer at Move, Inc.—operator of Realtor.com and flagship of News Corp’s digital real estate portfolio—has spent the last eight years architecting a suite of cloud-native, AI-powered platforms that have delivered over $80 million in incremental value, shaved millions off operating costs, and redefined how agents and builders connect with buyers.

Reimagining Customer Engagement: 2018–2019

From his earliest days, Srikanth tackled the challenge of surfacing the right listings to the right users. In 2018, he spearheaded SimilarSight, deploying GPU-accelerated “Similar Homes” inference on ECS p3 clusters—boosting ad yield by 0.5 percent ($3 M uplift) and slashing bounce rates across 68 million monthly uniques. That same year, he launched MarketMap and CRMConnect, a serverless forecasting/NLP pipeline and open API framework that together reduced marketing overspend by 20 percent ($4 M saved) and grew CRM partner revenue per lead by 10 percent ($8 M new). His HomeAdvance self-serve storefront drove a 25 percent builder enrollment jump and generated $2 M in new-homes sales, while UUBoost refactored microservices into Fargate—pushing availability to 99.9 percent and sustaining year-over-year unique-user growth.

Building on this foundation, Srikanth’s 2019 initiatives—including LeadScore Pro, ListFlow, StoreFront, UniqueWave, and FormEnhance—introduced serverless AutoML for lead scoring, optimized React/AppSync flows, and A/B-driven UX enhancements. Conversion lifts ranged from 1 percent (+$6 M) on lead quality to a 16 percentage-point surge in unique submissions (+$4.7 M), while error-rate reductions and standardized GraphQL schemas cut maintenance load by 30 percent.

Automation-First Innovation: 2020–2021

In 2020, Srikanth fortified Realtor.com PRO with EdgePulse, AuthNest, ShieldNest, and CSATLift—integrating real-time fault detection at Lambda@Edge, unified Auth0 SSO with PerimeterX protection, and feedback-driven retention loops. These efforts saved $3 M in fraud losses, improved CSAT by 5 points, and drove $3 M in upsell revenue.

His 2021 work on TrustBridge, LeadStream, LenderElevate, and CRMScale established zero-trust ingestion pipelines, event-driven email migrations, and federated lead portals. The result: a 25 percent lift in qualified mortgage leads ($4 M), a 30 percent growth in lender adoption, and streamlined notification pipelines saving $3 M annually.

API Ecosystem & Compliance at Scale: 2022

As data privacy and quality surged in importance, Srikanth rolled out PriceGuide, PrivacyPulse, DataOpsFlow, and DynamicWave. He built CCPA-compliant purge workflows that averted $5 M in fines, deployed dynamic pricing engines with sub-5-minute updates (yielding an 8 percent fee lift, $5 M), and implemented automated ETL pipelines that cut data incidents by 90 percent ($1 M saved), all while elevating valuation accuracy by 25 percent ($3 M in agent rework avoided).

AI-Powered Orchestration & Quantum Innovation: 2023–2025

Most recently, Srikanth has driven a new wave of intelligence across Realtor.com PRO. His AIFoundry, ConvertWave, and AgentEngage platforms leveraged embeddings-based demand generation and multi-agent chat orchestration—generating $7 M in subscription revenue and $10 M in accelerated lead follow-up. StoreOptimize perfected builder storefront UX (+35 percent transactions, $4 M uplift), while QuantumOptimizer and FederAI harnessed quantum-inspired heuristics and federated learning to right-size cloud fleets ($5 M saved) and boost qualified mortgage lead precision by 20 percent ($4 M).

In 2025, Srikanth synthesized these learnings into CUBEConnect, LeadLightning, ReferralBoost, and RetainWave—a real-time qualification mesh, sub-100 ms scoring service, GNN-driven referral engine, and federated churn predictor. Collectively, these initiatives have lifted agent conversion by 5 percent ($10 M), recovered $6 M in lost-opportunity revenue, driven a 10 percent referral boost ($4 M), and increased subscription retention by 3 percent (+$3 M ACV).

Looking Ahead

Srikanth Jonnakuti’s portfolio of cloud architectures, streaming pipelines, and AI-first automations has set a new benchmark for digital transformation in real estate. As Move, Inc. and News Corp pursue ever-greater scale, reliability, and intelligence, his ongoing innovations will continue to power seamless experiences for millions of home buyers, sellers, and industry partners worldwide.

Media Contact
Company Name: CB Herald
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Email: Send Email
Country: United States
Website: cbherald.com

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