Enterprise Systems Architecture
End-to-end architecture for high-scale financial & operational platforms. Patterns for resilience, scale, and governance.
Enterprise Systems Architect · Author · Technical Judge
Designing and optimizing Agentic AI, cloud-native, and high-scale enterprise systems for financial and operational platforms — across Walmart Global Tech, IBM, and AT&T-related platforms.
Trusted across · Recognized by








From Walmart's Agentic AI planning & forecasting platform to AT&T's national telecom order-management stack — quantified results across scale, savings, speed, and resilience.
Merchandise Scale
Planning & forecasting · US, Sam's & International
Hours Saved Annually
Walmart MIP platforms
Recurring Savings
GIOM · MMS · IBM–AT&T microservices
Faster Provisioning
GIOM automation · AT&T flagship VoIP
Customer Productivity
Preserved · AT&T cascaded router strategy
A repeatable systems flow connecting enterprise workflows to Agentic AI microservices, observability, reliability, and cloud performance — to power financial and operational decision systems.
Each pillar represents a domain where I lead architecture decisions, mentor engineers, and deliver measurable enterprise outcomes.
End-to-end architecture for high-scale financial & operational platforms. Patterns for resilience, scale, and governance.
Agentic AI integrated into Spring Boot, REST, and Kafka services with execution-risk controls and governance.
Discipline-led tuning on Azure, GCP, IBM Cloud, and Kubernetes for sub-second response and cost efficiency.
Circuit breakers, retries, bulkheads, and failure-amplification controls validated at enterprise scale.
Tracing, metrics, logs, and SLO-driven decisions powering 24/7 business-critical systems.
Legacy-to-cloud migrations, microservices decomposition, and compliance-grade financial system redesign.
19+ years architecting business-critical systems — from AT&T's global telecom order-management stack to Walmart's $180B+ planning & forecasting platform powered by Agentic AI.
Lead engineering across Walmart's planning and forecasting systems spanning U.S., Sam's Club, and International segments. Architected Agentic AI solutioning that shapes decisions at $180B+ merchandise scale, plus reusable services powering MIP platforms.
Key technical leader in the IBM–AT&T strategic partnership — one of AT&T's largest digital transformations. Drove company-wide microservices for sales, ordering, and enterprise data; serving U.S. and international clients across government, finance, and enterprise sectors.
Multi-phase modernization of AT&T's global telecom order-management stack — from launching IP Flexible Reach (VoIP flagship) with GIOM provisioning automation, to leading the FIND SOW and EVPN–AVPN migration via the Migration Management System (MMS). Trusted for mission-critical operations across U.S., Europe, and APAC.
Founder of the NWA Cloud-Native Engineering Meetup — organizing, speaking, and writing to advance cloud-native adoption and knowledge-sharing across the region.
Meetup Members
NWA Cloud-Native Engineering
Events Hosted
Monthly cadence, 2026
Talks Delivered
OpenTelemetry · Prometheus · SLOs
Cloud-Native Articles
DZone · Forbes Tech Council
Founded and lead the region's first cloud-native engineering community — hosting technical sessions on Kubernetes, distributed tracing, observability, and SRE practices. All talks recorded and published on YouTube for the broader cloud-native community.
Every meetup session I deliver personally — focused on production-grade observability, latency engineering, and reliability practices that cloud-native teams face at scale.
Cloud-native-specific writing that pairs meetup talks with published thought-leadership — spanning Kubernetes microservices, cloud-native platform design, and AI in production systems.
Engaged with the Cloud Native Computing Foundation's community structures — participating in Technical Advisory Groups and tracked via CNCF's DevStats platform for community contribution visibility.
Peer-reviewed journals, expert publications, and thought-leadership articles across microservices, cloud performance, FinTech, and Agentic AI.
Peer-reviewed research on distributed systems, cloud resilience, and enterprise architecture indexed by ResearchGate & Google Scholar.
Expert articles on microservices, Kafka, cloud performance, and Agentic AI featured across DZone and HackerNoon developer networks.
Career-focused essays for engineers navigating AI-era interviews, cloud engineering, and modern development on the MentorCruise network.
Editorial and industry features on governing Agentic AI operations, enterprise DevOps practices, and platform engineering at scale.
Recognized membership across global technical and policy associations — each conferred for distinguished contributions to engineering and technology.
Vetted member contributing executive-level insights to the Forbes technology audience on enterprise architecture, Agentic AI systems, and cloud modernization.
Fellow Member and volunteer speaker — engaging students and professionals on cloud engineering, FinTech innovation, and real-world enterprise systems.
Advisory Board Member contributing to global dialogue on AI governance, secure digital infrastructure, and technology policy at national and international scale.
IEEE Senior Member — the top 10% distinction awarded for significant contributions to engineering, research, and technical advancement over a sustained period.
Fellow of the International Scientific Society — distinguished technical leadership recognition for contributions to scientific research and applied engineering.
Member of the United Kingdom's Chartered Institute for IT — promoting excellence, ethics, and continued professional development in computing.
Independent judging and peer review across ACM journals, technical publications, global hackathons, and international technology awards.
Peer reviewer for ACM CODASPY’25, ACM Transactions on Internet Technology (TOIT), and the International Journal of Global Innovations and Solutions.
Technical reviews for Manning titles (Latency, Secure APIs, Java Logging with Log4j2) plus Packt chapter review on software design patterns.
Judge across 5 Dev.to global challenges (Auth0, Bright Data, Amazon Q, Pulumi, and KendoReact) with review focus on security, automation, and production readiness.
Awards judge for Globee and Claro technology categories, with additional review panels under Business Intelligence Group (AI Excellence, Customer Service, and Stratus cloud awards).
Conference talks, keynotes, expert panels, webinars, and community sessions across IEEE, GitNation, AAITP, ICETAIA, BrightTALK, and IA Forum.
Featured conference speaker and keynote presenter on Agentic AI, cloud-native resilience, and FinTech microservices performance.
Multi-format panel speaker across IA Forum and IEEE expert sessions, including Agentic AI at scale, trustworthy AI, and cloud architecture.
Community-facing talks for students and early-career engineers, including AAITP STEM events and university IEEE invited sessions.
Live webinars and podcast appearances on software frameworks, healthcare IT security, and taking AI MVPs to production.
Honored across enterprise platforms and global awards programs for engineering excellence, innovation, and leadership.
Verified credentials in Cloud, Microservices, and AI from leading global certification bodies — independently validated on Credly.
Honored internally at IBM for sustained engineering excellence and innovation across enterprise platforms serving AT&T-scale infrastructure.
Bronze winner for driving innovation in software engineering and microservices transformation — an internationally judged program.
Silver honoree for excellence in business technology solutions with proven impact in enterprise FinTech transformation.
Awarded for leading advancements in financial systems modernization using cloud-native technologies at enterprise scale.
Public frameworks and reference implementations for Agentic AI, cloud optimization, and FinTech reliability — made available to the engineering community.
Agentic AI framework for cloud cost and performance optimization, with policy-aware autonomous tuning loops for production systems.
View RepositoryJava performance diagnostics and AI-assisted analysis toolkit for profiling bottlenecks in microservices and cloud-native workloads.
View RepositoryOngoing cloud-native open-source contributions visible in GitHub activity, including repositories aligned with Kubernetes, observability, and performance engineering practices.
View GitHub ContributionsMentoring the next generation of engineers and architects through structured programs on globally recognized platforms.
Selected among the top 100 mentors globally on ADPList — recognized for excellence in career guidance, technical mentorship, and measurable impact on engineers worldwide.
Ongoing 1:1 mentorship in microservices architecture, cloud engineering, and FinTech systems — supporting career advancement at scale through a curated expert network.
Sibasis Padhi is an Enterprise Systems Architect focused on Agentic AI microservices, cloud performance optimization, distributed systems resilience, and enterprise-scale financial and operational platforms.
He has 19+ years of experience across Walmart Global Tech, IBM, AT&T-related enterprise platforms, and public technical communities.
Master’s in Computer Science
Arizona State University · USA
C-PGDBA in Operations Management
Symbiosis Centre for Distance Learning · India
Bachelor’s in Electronics & Communication Engineering
Berhampur University · India
Speaking, research collaboration, technical review, judging, media commentary, or enterprise systems consulting — pick your channel and send a signal. The agent is listening.