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Kiran Kumar Jaghni

Senior Technical Architect at Ness USA Inc

Kiran Kumar Jaghni

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Kiran Kumar Jaghni is a Principal Technical Architect whose 24-year career has been defined by one consistent mission: turning business vision into scalable, secure, and durable enterprise platforms. Working across healthcare, government technology, supply chain, telecommunications, and financial services, Jaghni has repeatedly led complex modernization programs that replace fragmented legacy stacks with cloud-native systems—while introducing intelligent automation and AI capabilities where they create measurable operational and societal value.

His technical foundation spans end-to-end solution architecture across Azure and AWS, with deep experience in microservices, event-driven systems, platform engineering, and Low-Code/No-Code (LCNC) framework development. In recent work, he has increasingly focused on practical integration of Generative AI and large language models into enterprise workflows—building systems for knowledge retrieval, data processing, and automated compliance enforcement. He pairs this with production-grade implementation discipline: containerization and orchestration with Kubernetes, DevOps automation through Infrastructure-as-Code, and modern data pipeline engineering using technologies such as Kafka, Databricks, and Apache Airflow.

Jaghni’s portfolio is anchored by modernization outcomes that change how organizations operate. At Avenu Insights & Analytics, he architected a unified Records Management platform that consolidated twelve on-premise systems into a multi-tenant Azure solution designed to serve more than 70 counties—delivering operational efficiency gains exceeding 200% and projecting tens of millions in cost savings. He also architected an AI-enabled Short-Term Rental Compliance System for the City of San Jose, combining web scraping and rule engines to improve enforcement; the result was reported as over $130 million added to the city’s general fund through improved compliance outcomes.

In healthcare technology at TeleTracking Technologies, Jaghni contributed architectural leadership to platforms operating at global scale. Operational IQ—supporting over 200,000 hospital beds—reflects the kind of mission-critical environment where reliability and safety are inseparable. Systems including Transfer IQ, Referral IQ, and On-Call Scheduling were designed to improve patient flow operations, reduce placement times, and strengthen care coordination—work that affects patient experience and clinical efficiency across major health systems.

His career also includes long-horizon delivery in telecommunications. At CGI, he led multi-year modernization programs for Bell Canada’s Field Services Management suite, enabling nationwide operational support and delivering over CAD $3 million in savings through cable provisioning initiatives. In the judicial domain, he architected a Jury Management platform that improved citizen engagement and raised response rates from 36% to 80% in jurisdictions such as Norfolk Circuit Court—evidence that well-designed digital systems can materially improve public participation and government effectiveness.

Across these domains, Jaghni’s impact is amplified by platform enablement. He has built reusable LCNC frameworks that accelerate microservice generation, and developed code-generation tools that speed API scaffolding across enterprise architectures—turning repeated engineering effort into reusable capability. Recognition for the platforms he has led includes TeleTracking’s 2024 Best in KLAS award for Patient Flow and multiple GovTech 100 honors for Avenu—external signals that the systems delivered under his technical leadership are both credible and consequential.

Just as importantly, he has consistently invested in mentorship and knowledge transfer: leading architecture review boards, authoring foundational technical documentation, and training geographically distributed teams in modern patterns—cloud-native design, AI integration strategies, and platform engineering practices. The throughline is clear: Kiran Kumar Jaghni builds systems that scale, and he builds the teams and frameworks that allow those systems—and the organizations behind them—to keep improving.

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