Annapurneswar Putrevu

Across more than two decades in enterprise architecture and systems integration, Annapurneswar Putrevu has built a career around a specific kind of hard problem: modernizing complex, interdependent business systems without breaking reliability, compliance, or operational continuity. His trajectory—from early engineering roles at Foursoft through successive architecture and integration positions across Oracle India, Delmia Solutions/i2 Technologies, PKGlobal, Genome International, KPTI Infosystems, and Oracle Corporation—culminates in his current leadership as Senior Manager at Bloom Energy, where he directs cloud applications, middleware, and QA delivery for platforms that must operate as industrial-grade digital infrastructure.

At Bloom Energy, Putrevu’s work sits at the junction of cloud-native architecture, enterprise data ecosystems, and applied AI/ML. He has led initiatives that convert legacy operational signals into governed data products and actionable intelligence. One effort introduced a PLM-focused assistant (“BloomBot”) by pairing Agile PLM domain data with an Amazon Q for Business-backed conversational interface. The outcome is a productivity-oriented capability designed to reduce friction in document discovery, onboarding, and cross-team collaboration by enabling natural-language access to product lifecycle information.

In parallel, he has pursued modernization through pragmatic engineering constraints—especially when upstream systems lack ideal features such as change data capture. In a manufacturing data ingestion initiative, he architected an ECS-based connector system that streams from a wide footprint of source databases and file servers into a modern AWS analytics stack. The design emphasizes low-latency movement, connector state management, and operational guardrails that reduce silent data loss—characteristics that matter when data is operationally consequential, not just analytical.

Putrevu’s portfolio also includes building an Enterprise Data Platform on AWS to unify ERP, SCADA, manufacturing, and finance signals into a single source of truth, enabling near-real-time analytics and reducing operational overhead. On the AI/ML side, he has led applied forecasting efforts for spare parts planning using time-series and machine learning techniques, integrating outputs into enterprise systems (ERP and operational tooling) so predictions translate into measurable inventory performance improvements. His work extends into integration-centric transformation as well: replacing brittle SFTP-based exchanges with API platforms, implementing microservices-oriented solutions for compliance reporting and portal modernization, and driving large-scale migration of integrations from legacy SOA/OSB stacks to cloud integration platforms with an explicit focus on zero-downtime cutover, guaranteed delivery, and test automation at scale.

Earlier, at Oracle Corporation, he built credibility as a Principal Consultant delivering high-volume integration programs for major clients, standardizing reusable patterns (including interface abstractions that reduce cyclic dependencies) and applying security controls such as encryption policies for sensitive HR data exchanges. Over time, his contributions have combined systems thinking, execution discipline, and governance-minded architecture—an approach reinforced by external-facing professional activity such as Globee Awards judging and ongoing knowledge sharing through publications and talks.

Taken together, his record reflects a practitioner who repeatedly turns integration complexity into stable platforms—then uses those platforms to enable operational intelligence, cost control, and scalable modernization in environments where reliability and data integrity are non-negotiable.