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Revathi Puppala

@revathipuppala

AI Operations Engineer building production-grade LLM workflows, observability, and automation to accelerate revenue and teams.

United States

Message

What I'm looking for

I’m looking for an AI operations or automation engineering role where I can build production-grade LLM/agent workflows with strong observability, security/governance, and CI/CD—partnering with Sales/CS/Marketing to deliver measurable business outcomes.

I’m a results-driven AI Operations Engineer with 6+ years of professional software development experience designing, building, and deploying AI-powered tools, agent-based workflows, and automated services. I focus on translating complex business problems into scalable, production-grade backend systems that help revenue and customer-facing teams move faster.

In my current role at Onbe, I designed and deployed AI-powered backend services and agent-based workflows on AWS using Lambda, EC2, and API Gateway. I built multi-step AI workflows using LLM APIs (OpenAI and Claude) for intelligent document classification, real-time payment anomaly detection, and automated customer query resolution—reducing manual processing time by 40% and accelerating customer onboarding cycles.

I bring deep engineering strength across reliability, observability, and governance. I build logging, alerting, and monitoring from inception using tools such as Datadog, structured log pipelines, and Log4J, and I design testing strategies that validate AI outputs are accurate, reliable, and safe for production.

Earlier, at UPS and Infosys, I delivered AI-enabled automation workflows and agent-based services for logistics and banking. I integrated AI systems with enterprise data platforms and CRM tools (including HubSpot and Salesforce), used Kafka event streaming for real-time triggers, and helped reduce operational effort substantially—like eliminating 300+ hours per quarter in operations while supporting security and compliance requirements.

Experience

Work history, roles, and key accomplishments

Current

AI Operations Engineer

Current

Onbe

Jan 2024 - Present (2 years 4 months)

Designed and deployed AWS-based AI backend services and agent workflows, reducing manual processing time by 40% and accelerating customer onboarding. Built LLM-powered multi-step document classification, payment anomaly detection, and automated query resolution using OpenAI/Claude APIs, improving response latency by 35% and reducing MTTR by 50%.

AWS Lambda API Gateway OpenAI API Claude Python Spring Boot Kafka

Applied AI Automation Engineer

United Parcel Service (UPS)

May 2023 - Dec 2023 (7 months)

Built AI-enabled logistics automation workflows and agent-based services, reducing routing exceptions by 45% and improving shipment tracking accuracy for 15M+ daily packages. Implemented LLM multi-step workflows with enterprise data integration, saving $2M+ annually, and reduced case resolution time by 38% through automated notifications and exception handling.

Python Java Spring Boot Kafka JMS MySQL Oracle

AI Automation & Full-Stack Engineer

Infosys

Jan 2021 - Dec 2022 (1 year 11 months)

Developed AI-powered automation workflows for banking modernization, reducing manual reconciliation effort by 50% and accelerating regulatory reporting for 10+ clients. Built AI-assisted credit decisioning and fraud detection pipelines using Python/Node.js microservices, improving detection accuracy by 32% while cutting false positives, and increased end-user adoption of automation by 65%.

Python Node Spring Boot MongoDB MySQL Oracle

Automation & Backend Engineer

Hcl Technologies

Mar 2019 - Dec 2020 (1 year 9 months)

Built Java 8/Spring Boot backend automation services for distributed enterprise workflows, reducing nightly batch processing failures by 70% across 20+ clients. Implemented Kafka streaming and ETL pipelines handling 5M+ records nightly, improved query performance by 45%, and reduced Cassandra cluster incidents by 60% through proactive monitoring.

Java 8 Spring Boot Kafka MongoDB SQL Server MySQL