sibasispadhi

@sibasispadhi

Sibasis Padhi

Agentic AI · Cloud Performance · Distributed Systems Resilience · FinTech at ...
Arkansas, USA sibasispadhi.com Joined December 2024
1.1k Points28 Badges8 Connections11 Followers47 Following

About

I work in Applied AI Enterprise Systems Architecture — building agentic AI-enabled, cloud-native systems for high-scale financial and transactional platforms.

Currently a Staff So... Show more

Language & Tools

AI / Agentic: LLM orchestration · Agent frameworks · RAG pipelines · Prompt engineering · Guardrails & execution controls.
Observability: OpenTelemetry · Prometheus · Grafana · Jaeger · Splunk
Cloud & Infra: GCP · Azure · IBM Cloud · Kubernetes · Docker · Istio · Terraform
Frameworks & Runtimes: Spring Boot · Spring Cloud · REST · gRPC · Node.js
Languages: Java · Python · SQL · JavaScript · Bash
Data & Messaging: Kafka · Redis · PostgreSQL · Cassandra · Elasticsearch
Practices: Event-Driven Architecture · Domain-Driven Design · CQRS · SAGA patterns · Chaos Engineering · SLO-driven operations

Currently Exploring

- Agentic orchestration at production scale — moving beyond single-agent demos to multi-agent systems with isolation boundaries, execution-risk controls, and auditable decision loops
- Autonomous resilience — can systems detect degradation and self-remediate without human intervention, and how do you prove it's safe?
- Cost-aware AI architecture — the unit economics of running LLM-backed services at high request volume
- Observability for non-deterministic systems — traditional SLOs assume deterministic behavior; agentic systems break that assumption
- Governance patterns for agentic AI — what "responsible autonomy" actually looks like in regulated financial environments

Achievements

- Architected Agentic AI planning & forecasting systems operating at $180B+ merchandise scale across Walmart US, Sam's Club, and International
- IEEE Senior Member (top 10% distinction) · Forbes Technology Council · AAITP Fellow · IA Forum Advisory Board
- 3× internationally judged awards in 2024–25: Globee® Bronze, Stevie® Silver, Global Recognition Award
- Selected among ADPList's Top 100 Mentors globally (Class of 2026)
- Founder of the NWA Cloud-Native Engineering Meetup — Northwest Arkansas' first cloud-native engineering community

Top Tags

User Activities

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Joined: 1 year (since Dec 12, 2024)
Full Name: Sibasis Padhi
Headline: Agentic AI · Cloud Performance · Distributed Systems Resilience · FinTech at Scale
About: I work in Applied AI Enterprise Systems Architecture — building agentic AI-enabled, cloud-native systems for high-scale financial and transactional platforms.

Currently a Staff Software Engineer at Walmart Inc. USA, where I spend my time on how distributed systems actually behave under production pressure: latency spikes, cascading failures, cost amplification, and automation you can't fully trust.

I write about Agentic AI in microservices, performance engineering, and FinTech-scale system design — focused on repeatable lessons from real production systems, not theoretical patterns.

19+ years across Walmart, IBM, and AT&T platforms.
Location: Arkansas, USA
Website: https://sibasispadhi.com
Languges & Tools: AI / Agentic: LLM orchestration · Agent frameworks · RAG pipelines · Prompt engineering · Guardrails & execution controls.
Observability: OpenTelemetry · Prometheus · Grafana · Jaeger · Splunk
Cloud & Infra: GCP · Azure · IBM Cloud · Kubernetes · Docker · Istio · Terraform
Frameworks & Runtimes: Spring Boot · Spring Cloud · REST · gRPC · Node.js
Languages: Java · Python · SQL · JavaScript · Bash
Data & Messaging: Kafka · Redis · PostgreSQL · Cassandra · Elasticsearch
Practices: Event-Driven Architecture · Domain-Driven Design · CQRS · SAGA patterns · Chaos Engineering · SLO-driven operations
Currently Exploring: - Agentic orchestration at production scale — moving beyond single-agent demos to multi-agent systems with isolation boundaries, execution-risk controls, and auditable decision loops
- Autonomous resilience — can systems detect degradation and self-remediate without human intervention, and how do you prove it's safe?
- Cost-aware AI architecture — the unit economics of running LLM-backed services at high request volume
- Observability for non-deterministic systems — traditional SLOs assume deterministic behavior; agentic systems break that assumption
- Governance patterns for agentic AI — what "responsible autonomy" actually looks like in regulated financial environments
Achievements: - Architected Agentic AI planning & forecasting systems operating at $180B+ merchandise scale across Walmart US, Sam's Club, and International
- IEEE Senior Member (top 10% distinction) · Forbes Technology Council · AAITP Fellow · IA Forum Advisory Board
- 3× internationally judged awards in 2024–25: Globee® Bronze, Stevie® Silver, Global Recognition Award
- Selected among ADPList's Top 100 Mentors globally (Class of 2026)
- Founder of the NWA Cloud-Native Engineering Meetup — Northwest Arkansas' first cloud-native engineering community
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