I build reliable systems where AI, infrastructure, and software engineering meet.

Selected work

• Cloud Infrastructure

  Cloud Health Alerting

  An organization-wide cloud health alerting platform that routes AWS Health events to the right teams before they become incidents.

  • ·Targeted at least 95 percent production coverage.
  • ·Targeted critical alert delivery in under three minutes.
  AWS HealthAmazon EventBridgeOutlookMicrosoft Teams
  View case study

• Enterprise AI

  Sage Enterprise AI Platform

  A secure, RAG-powered enterprise AI platform that makes engineering knowledge discoverable across GitHub, Confluence, and Stack Overflow.

  PythonFastAPIRAGEmbeddingsRBACMCPOAuth 2.0PKCEGitHubStack OverflowConfluenceMicrosoft Teams Bot FrameworkMulti-tenant architecture
  View case study

• Applied ML Research

  AnnotateAnyCell

  Purdue research on efficient digital-pathology annotation combining segmentation, clustering, and interactive labeling.

  • ·Improved nuclei-labeling efficiency by approximately 30%.
  • ·Reduced labeled-data requirements by approximately 60%.
  SegmentationSAMCellposeClusteringSemi-supervised learningDeep learningInteractive labelingDigital pathology
  View case study

• Production Engineering

  Optum Engineering Automation

  API, UI, data-validation, and CI automation systems built at Optum Global Solutions.

  • ·Automated approximately 20 REST APIs.
  • ·Reduced testing cycle time by approximately 40 percent.
  JavaSerenity BDDJenkinsREST APIsCucumberCypressSelenium WebDriver
  View case study

Experience

1. Senior AI Engineer

   January 2026 – Present

   Eli Lilly and Company

   Building cloud health alerting and enterprise AI knowledge platforms for Cloud Engineering, spanning event-driven infrastructure monitoring and secure RAG-based knowledge retrieval.

   • ·Design event ingestion, normalization, severity classification, deduplication, and ownership-based routing for AWS Health alerts delivered over Outlook and Microsoft Teams.
   • ·Build a secure, RAG-powered enterprise AI platform with a Python FastAPI backend, RBAC, OAuth 2.0 with PKCE, and MCP integrations across GitHub, Stack Overflow, and Confluence — currently generalizing it into a self-service, multi-tenant platform any team can provision its own instance of.
   • ·Develop Microsoft Teams Bot Framework integrations with rich-card responses for enterprise knowledge search.
   Cloud Health AlertingSage Enterprise AI Platform

   Public descriptions omit internal repositories, account structures, credentials, endpoints, and proprietary operational details.

2. Tech Intern

   May 2025 – August 2025

   Eli Lilly and Company

   Built a multi-agent RAG onboarding assistant, an AI-ready knowledge registry, and a computer-vision brand-compliance pipeline.

   • ·Built a multi-agent RAG onboarding assistant with FastAPI, REST APIs, tool orchestration, and real-time retrieval, containerized for deployment.
   • ·Built Python ingestion pipelines with metadata-driven tagging and automated classification for an AI-ready knowledge registry of internal technical documents.
   • ·Developed a computer-vision pipeline using frame-sequence analysis to detect brand-compliance violations in video.
   Knowledge NexusAI Knowledge RegistryBrand Compliance Detection

   Public descriptions omit internal repositories, account structures, credentials, endpoints, and proprietary operational details.

3. Research Assistant

   February 2024 – May 2025

   Purdue University

   Digital-pathology annotation research advised by Prof. Ananth Grama.

   • ·Combined SAM- and Cellpose-based segmentation with clustering and semi-supervised learning to reduce manual annotation effort.
   • ·Built an interactive labeling workflow for digital-pathology nuclei annotation.
   • ·Co-authored the AnnotateAnyCell preprint.
   AnnotateAnyCell

4. Software Engineer

   June 2021 – December 2023

   Optum Global Solutions

   Automated REST APIs and reduced manual UI and data-validation testing using Java-based BDD test automation within a Jenkins CI pipeline.

   • ·Automated approximately 20 REST APIs using Java-based test automation.
   • ·Reduced manual UI and data-validation testing effort using Serenity BDD, Cucumber, Cypress, and Selenium WebDriver.
   • ·Maintained CI pipelines in Jenkins to support continuous testing.
   Optum Engineering Automation
   JavaSerenity BDDJenkinsREST APIsCucumberCypressSelenium WebDriver

   Public descriptions omit internal applications, customer data, credentials, and proprietary test infrastructure.

Research and publications

• AnnotateAnyCell: Open-Source AI Framework for Efficient Annotation in Digital Pathology

  bioRxiv

  Purdue research project focused on efficient digital-pathology annotation using segmentation, clustering, interactive labeling, and machine learning.

  View publication

• RouteNet-Fermi: Network Modeling With GNN (Analysis and Re-implementation)

  arXiv

  Developed and evaluated machine-learning approaches for network-performance prediction, including graph-based modeling and an LSTM baseline.

  View publication

Leadership & awards

Technical capabilities

Languages

PythonJavaJavaScriptTypeScriptCC++

Backend

FastAPINode.jsREST APIs

AI

LangChainLangGraphMCPRetrieval-augmented generationNLPAgentsMulti-agent systemsVercel AI SDKEmbeddingsGPT-4oWhisper

Machine Learning

TensorFlowPyTorchPandasNumPyPySparkMachine learningCNNsRNNsSegmentationClustering

Cloud

AWSAWS HealthAmazon EventBridgeDatabricks

Security

OAuth 2.0PKCERBAC

Integrations

GitHubStack OverflowConfluenceMicrosoft Teams Bot Framework

Frontend

ReactNext.jsReact NativeRedux ToolkitTailwind CSSGraphQL

Data

MongoDBPostgreSQLMySQL

DevOps

JenkinsDocker

Testing & Automation

Serenity BDDCucumberCypressSelenium WebDriverPostman

Computer Vision

OpenCVNumPyComputer vision