{"$schema":"https://raw.githubusercontent.com/jsonresume/resume-schema/v1.0.0/schema.json","basics":{"name":"Pratyush Mulpuru","label":"Senior Software Engineer","image":"https://saywise-production-profilepicturestoragebucket-kbfooccc.s3.amazonaws.com/profile-pictures/4ab25ee6-f0d4-4b73-b13c-31e1a57178bd/linkedin-1791302692884.jpg","summary":"Senior Software Engineer with 14+ years building cloud-native distributed systems and backend platforms. Recently focused on GenAI and agentic AI applications using AWS Bedrock.","location":{"city":"Apex, NC, United States"},"profiles":[{"network":"LinkedIn","username":"pratyush-mulpuru","url":"https://linkedin.com/in/pratyush-mulpuru"},{"network":"GitHub","username":"pratyushmk","url":"https://github.com/pratyushmk"}]},"meta":{"canonical":"https://saywise.com/member4159","version":"v1.0.0","lastModified":"2026-10-06T16:05:17.171Z"},"x_saywise":{"handle":"member4159","pronouns":null,"availability":null,"oneLiner":"Senior Software Engineer with 14+ years building cloud-native distributed systems and backend platforms. Recently focused on GenAI and agentic AI applications using AWS Bedrock.","profileUrl":"https://saywise.com/member4159","markdownUrl":"https://saywise.com/member4159/profile.md","pdfUrl":"https://saywise.com/member4159/resume.pdf","archetype":{"code":"HB-MX","name":"All-Terrain Artisan","url":"https://saywise.com/sca/100862f4059b","rarity":"One of the first All-Terrain Artisans on Saywise"}},"work":[{"name":"Self Employed","position":"Independent Contractor","location":"Apex, NC","startDate":"2025-02-01","summary":"Architected Python-based backend services and REST APIs for event registration, attendee management, and workflow automation. Built ReactJS administrative dashboards and user-facing interfaces. Automated deployments using Ansible and implemented CI/CD practices with Git."},{"name":"Itron, Inc.","position":"Senior Software Engineer","location":"Raleigh, North Carolina, United States","url":"https://itron.com","startDate":"2023-05-01","endDate":"2024-10-01","summary":"Automated application and platform deployments using Jenkins and Ansible, reducing release cycles by 50%. Built monitoring infrastructure with Nagios and Splunk (15+ dashboards), improving issue detection by 60% and reducing incident response time by 80%. Designed Django application for monitoring configuration across on-premises environments. Implemented Kubernetes deployments with Helm and GitOps workflows using ArgoCD."},{"name":"NetApp Inc","position":"Senior Software & Automation Developer","location":"Morrisville, NC, United States","url":"https://netapp.com","startDate":"2020-01-01","endDate":"2023-05-01","summary":"Re-architected CI/CD pipelines, reducing deployment failures by 90% and cutting release cycles from 8 hours to 30 minutes. Designed asynchronous Python microservices using FastAPI to orchestrate VMware/OpenStack workflows. Architected Kubernetes/OpenShift microservices for horizontal scalability. Designed serverless AWS workflows for multi-step VM lifecycle orchestration. Implemented Infrastructure-as-Code using Terraform and developed data pipelines with Airflow and PySpark for multi-cloud billing analytics."},{"name":"Cisco Systems","position":"Senior Software Engineer","location":"Morrisville, NC, United States","url":"https://cisco.com","startDate":"2011-09-01","endDate":"2019-02-01","summary":"Designed and implemented Spring Boot microservices and REST APIs for provisioning users and devices in Cisco Unified Communications Manager and Unity Connection. Created extensible monitoring framework using Spring Actuator and AOP exposing 25+ metrics across 20+ microservices. Increased call handling capacity 3x on Cisco Expressway by enhancing C++ routing logic. Developed Python microservices for SIP log parsing and anomaly detection with ELK integration. Implemented JMS messaging services with ActiveMQ for reliable inter-service communication."},{"name":"Cisco","position":"Software Engineer","location":"Raleigh-Durham-Chapel Hill Area","url":"https://cisco.com","startDate":"2011-09-01","endDate":"2013-02-01","summary":"Hosted Collaboration Solution Fulfillment (HCS-F)"},{"name":"Wells Fargo","position":"Application Systems Engineer","location":"Charlotte Metro","url":"https://wellsfargo.com","startDate":"2010-06-01","endDate":"2011-08-01","summary":"Developed web UI features using HTML, CSS, JavaScript/jQuery, JSP, and AJAX-based pagination. Created database triggers and stored procedures to support auditing and reporting processes."},{"name":"Verizon","position":"Application Developer","location":"Silver Spring, Maryland Area","url":"https://verizon.com","startDate":"2010-04-01","endDate":"2010-05-01"},{"name":"LiveItSolutions","position":"Java Developer","url":"https://liveit.solutions","startDate":"2008-03-01","endDate":"2009-12-01"}],"education":[{"institution":"Governors State University","studyType":"Masters in Computer Science","startDate":"2005-09-01","endDate":"2007-06-01"},{"institution":"Jawaharlal Nehru Technological University","studyType":"Bachelor of Technology (BTech) in Computer Science","startDate":"2002-09-01","endDate":"2006-06-01"}],"projects":[{"name":"Python/PySpark Data and RAG Platform","description":"Built a comprehensive platform integrating data pipelines, vector search, and LLM-based question answering capabilities. Combines PySpark for data processing with FastAPI for API services and leverages retrieval-augmented generation for intelligent responses."},{"name":"AI-Powered Event Registration Platform","description":"Designing an AI-powered event registration experience enabling users to interact conversationally with the platform. Building the backend using Python and AWS Bedrock/AgentCore with MCP-based tool interactions connecting the LLM to event, attendee, and registration APIs. Implementing agentic AI patterns, authentication/authorization, guardrails, observability, and evaluation for production-ready AI workflows."}],"skills":[{"name":"Agent to Agent Communication"},{"name":"Generative AI"},{"name":"Agentic AI Development"},{"name":"Model Context Protocol (MCP)"},{"name":"Amazon Bedrock"},{"name":"Amazon CloudWatch"},{"name":"AWS Security Hub"},{"name":"AI Evaluation"},{"name":"AWS Service Control Policies"},{"name":"AWS Identity and Access Management (AWS IAM)"},{"name":"AI Observability"},{"name":"OpenTelemetry"},{"name":"AWS Config"},{"name":"AWS CloudTrail"},{"name":"AI Governance"},{"name":"AI Agent Security"},{"name":"Amazon Bedrock Guardrails"},{"name":"Authorization"},{"name":"Amazon Bedrock AgentCore Policy"},{"name":"Cloud Security"},{"name":"Amazon Cognito"},{"name":"Cedar Policy"},{"name":"Amazon Bedrock AgentCore Identity"},{"name":"Identity and Access Management (IAM)"},{"name":"Prompt Engineering"},{"name":"AI Tools Adoption"},{"name":"AI Ethics"},{"name":"Applied AI"},{"name":"GitHub Copilot"},{"name":"Multi-agent Systems"},{"name":"Langfuse"},{"name":"Amazon EKS"},{"name":"Azure Cloud Governance"},{"name":"Microsoft Azure"},{"name":"Azure Cost Management"},{"name":"Azure Cloud Services"},{"name":"Azure Cloud Computing"},{"name":"Amazon SQS"},{"name":"Strands Agents"},{"name":"Amazon EventBridge"},{"name":"Amazon Bedrock AgentCore"},{"name":"Pandas"},{"name":"Poetry"},{"name":"FastAPI"},{"name":"Retrieval-Augmented Generation (RAG)"},{"name":"Large Language Models (LLM)"},{"name":"FAISS"},{"name":"LocalStack"},{"name":"Amazon S3"},{"name":"Extract, Transform, Load (ETL)"}],"certificates":[{"name":"AI Governance on AWS","date":"2026-09-01","issuer":"BeSA Cloud Academy"},{"name":"Agentic AI - POC to Production on AWS","date":"2026-09-01","issuer":"BeSA Cloud Academy"},{"name":"Agentic AI Evaluation and Observability","date":"2026-09-01","issuer":"BeSA Cloud Academy"},{"name":"Building Agentic AI on Amazon EKS","date":"2026-09-01","issuer":"DataExpert.io"},{"name":"Building Agentic AI with AWS Serverless","date":"2026-09-01","issuer":"DataExpert.io"},{"name":"Design Authentication, Authorization and Logging","date":"2026-09-01","issuer":"DataExpert.io"},{"name":"Microsoft Certified: Azure Fundamentals","date":"2026-09-01","issuer":"Microsoft"},{"name":"Anatomy of an AI Agent","date":"2026-08-01","issuer":"DataExpert.io"},{"name":"AI Skills Fest 2026","date":"2026-06-01","issuer":"Microsoft"}]}