# Ashok kumar Sarvepalli

> Staff Software Engineer @ Intuit | Ex-PayPal

Location: Fremont, California, United States
Profile: https://flows.cv/ashokkumarsarvepalli

I’m Ashok Kumar Sarvepalli, an AI/ML Platform Engineer passionate about building scalable systems that power data-driven intelligence.
I design and implement high-performance platforms that integrate LLMs, distributed systems, and orchestration frameworks to automate and optimize end-to-end machine learning workflows.

At PayPal, I work on modernizing the AI Workbench ecosystem—migrating core components to the Model Context Protocol (MCP) and developing LLM-integrated frameworks using LangGraph, CrewAI, and LangChain.
My work enables thousands of engineers and data scientists to build and manage models seamlessly while improving cost efficiency and reliability across GKE infrastructure.

Previously at Cigna (Express Scripts), I led the engineering of high-throughput real-time prescription fulfillment APIs and mentored a team of developers in building scalable microservices using Spring Boot, Kafka, and MongoDB.

Earlier roles at Altimetrik and Cognizant built my foundation in Java, APIs, and automation frameworks — experiences that now empower me to bridge traditional enterprise systems with modern AI-driven platforms.

🧠 Core Focus Areas

Distributed Systems • AI/ML Platforms • LLM Orchestration • Generative AI • Cloud Infrastructure (GKE, OpenShift, GCP) • Data Pipelines (Airflow) • Observability (Datadog, Grafana, Splunk) • Automation Frameworks

⚙️ Technical Expertise

Programming & Scripting: Python, Java, SQL
Frameworks & Build Tools: Spring Boot, Maven, Gradle, Poetry
AI / GenAI & ML Tools: Vertex AI, Model Context Protocol (MCP), LangChain, LangGraph, CrewAI, Autogen, Claude Desktop, OpenAI GPTs, Agent Frameworks, LLM Evaluation & Prompt Engineering Tools
Infrastructure & Cloud: Google Cloud (GKE), Kubernetes, Docker, Helm, Jenkins, Airflow, OpenShift, Terraform (exposure)
Monitoring & Observability: Datadog, Grafana, Splunk, NewRelic, Cloud Logging
Data & Storage: MySQL, MongoDB, Cloud Storage (GCS)
Caching & Optimization: Redis, In-Memory Caching, API Performance Tuning
CI/CD & Automation: Jenkins Pipelines, GitHub, Artifactory
Architecture & Patterns: Microservices, System Design, Event-Driven Architecture, Distributed Tracing, REST, gRPC
Software Engineering Practices: Agile/Scrum, Unit Testing (JUnit, Pytest), Code Reviews, Performance Optimization, Security & Compliance Readiness

## Work Experience
### Staff Software Engineer @ Intuit
Jan 2026 – Present

### AI/ML Platform Engineer @ PayPal
Jan 2022 – Jan 2026 | San Jose, CA
LLM-Integrated Production Platform: Designed and implemented a distributed code and model readiness framework using LLM orchestration (LangGraph, CrewAI, LangChain) to automate validation and optimization of SQL and notebook-based workflows.
Cosmos AI Workbench Modernization: Migrated major Cosmos Workbench components to Model Context Protocol (MCP), enabling integration with Claude Desktop and dashboard agents used by over 5,000 engineers and scientists.
AI Agents and Orchestration: Developed internal AI agents and GPT-style assistants that automate data quality checks, model tagging, and readiness insights, improving developer efficiency across ML pipelines.
Drift Detection Framework: Engineered an intelligent monitoring system to detect model/data drift, trigger retraining alerts, and maintain accuracy.
GKE Cost Optimization: Built automated resource management logic for idle Jupyter servers, saving $250K annually in GKE utilization.
Collaborated with cross-functional teams to unify ML lifecycle tooling and ensure scalable, governed infrastructure across product areas.

### Senior Software Engineer @ Express Scripts
Jan 2018 – Jan 2022 | Greater New York City Area
Fulfillment API Microservices: Led design and delivery of real-time prescription fulfillment APIs using Spring Boot, Kafka, MongoDB, and PCF, improving speed and reliability of patient prescription workflows.
Team Leadership & Mentorship: Acted as team lead, guiding 8+ engineers through architecture, code reviews, and production deployments. Mentored junior developers and fostered engineering best practices to maintain quality and velocity.
Stakeholder Collaboration: Partnered with product managers, clinical teams, and operations to translate business requirements into scalable technical designs and deliver results aligned with enterprise goals.
Performance Optimization: Enhanced system throughput, reduced latency, and improved fault tolerance through data-driven analysis and distributed design improvements.

### Staff Software Engineer @ Altimetrik
Jan 2016 – Jan 2018 | Chennai Area, India
Built Visa Checkout Merchant Services APIs using Spring Boot, JPA, and SQL tuning, improving transaction throughput by 30%.
Worked with global teams to enhance scalability and deployment reliability for payment integration services.

### Senior Java Developer @ Altimetrik
Jan 2014 – Jan 2016 | Chennai Area, India
Design , Develop the requirements through agile framework

### Associate at Cognizant @ Cognizant Technology Solutions
Jan 2010 – Jan 2014
Developed enterprise-grade SOAP-based services and reusable Java utilities for automation and testing.
Improved developer productivity by creating modular test-data utilities and reusable automation components.


## Education
### Bachelor's Degree in Computer Software Engineering
Sri Sivasubramaniya Nadar College Of Engineering


## Contact & Social
- LinkedIn: https://linkedin.com/in/ashok-kumar-sarvepalli-78093b77

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Source: https://flows.cv/ashokkumarsarvepalli
JSON Resume: https://flows.cv/ashokkumarsarvepalli/resume.json
Last updated: 2026-04-12