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# Rakesh Devunuri

**Headline:** Principal Engineer & AI/Cloud Architect \| Explainable AI \(XAI\) \| Java \| Python \| AWS \| Machine Learning \| Data Analytics \| Networking \(SNMP, Syslogs\)
**Profession:** Principal Software Developer
**Location:** San Francisco Bay Area

## About

Rakesh Devunuri is a Principal Software Developer at Verizon, where he serves as a lead architect for enterprise telemetry modernization across AI, network, and cloud platforms\. With more than 12 years of experience, Rakesh designs and leads large\-scale distributed systems for telecom, cloud, and enterprise software environments while remaining hands\-on with critical components and mentoring engineering teams of 10 or more\. His strengths include Java, Spring Boot, microservices, gRPC, Kafka, AWS, Python, machine learning, network telemetry, and safe migration architecture for mission\-critical production systems\. At Verizon, Rakesh has helped replace legacy HP OpenView monitoring with an in\-house, vendor\-agnostic gRPC telemetry platform that generated more than $1\.2 million in annual year\-over\-year savings\. His work has supported data collection for more than 350,000 multi\-vendor network devices, including SNMP traps, syslogs, five\-minute polling, and near\-real\-time visibility monitoring\. He has also delivered a FastAPI and React analytics dashboard to replace Tableau, built AI\-driven anomaly\-detection and trap\-classification prototypes, and developed modernization approaches that avoided reconfiguring more than 100,000 devices\.

## Services

- Prometheus\.io
- PostgreSQL
- MySQL
- Rally
- gRPC
- SoapUI
- Jira
- Kubernetes
- Grafana
- Splunk
- Python \(Programming Language\)
- Jakarta Persistence
- Git
- Continuous Integration and Continuous Delivery \(CI/CD\)
- New Relic
- Postman API
- Apache Kafka
- Artificial Intelligence \(AI\)
- DevOps
- Spring Framework
- Linux
- Maven
- Spring MVC
- Java, Microservices, spring boot ,AWS, SNMP Traps, Syslogs
- C
- Team Management
- iOS Development
- Java
- Requirements Analysis
- Java Enterprise Edition

## Highlights

- Leads multi\-team delivery and architecture for Verizon’s enterprise telemetry modernization initiative as a Principal Software Developer\.
- Engineered a gRPC\-based telemetry\-ingestion platform that replaced legacy HPOV and delivered more than $1\.2 million in annual year\-over\-year savings\.
- Led the HPOV replacement from proof of concept through design, development, user acceptance testing, stakeholder alignment, and production adoption\.
- Decommissioned multiple legacy network\-monitoring systems and consolidated them into an in\-house, vendor\-agnostic monitoring solution\.
- Built and scaled a real\-time monitoring platform processing SNMP traps from more than 100,000 devices across more than 62 vendor types and millions of live production alarms and events\.
- Supported telemetry data collection for more than 350,000 multi\-vendor network devices across Verizon’s nationwide infrastructure\.
- Implemented five\-minute device health and availability polling and sysUpTime tracking for near\-real\-time loss\-of\-visibility detection\.
- Collected SNMP performance metrics for CPU, memory, interface utilization, and error rates to improve operational visibility and early issue detection\.
- Designed Kafka streaming pipelines for low\-latency, highly available ingestion, normalization, and distribution of SNMP traps, polling data, syslogs, and performance metrics\.
- Integrated New Relic for 24/7 observability, health tracking, alerting, and performance analysis\.
- Delivered a REST\-to\-gRPC migration that achieved three times throughput\.
- Developed a Samplicator\-based proof of concept that avoided reconfiguring more than 100,000 devices during migration\.
- Optimized microservices to reduce memory consumption by 35–45%\.
- Contributed to scalable data pipelines serving more than 20 enterprise programs\.
- Built and deployed a FastAPI and React analytics dashboard that replaced Tableau end to end\.
- Built anomaly\-detection models and intelligent trap\-classification pipelines to improve alert accuracy, reduce noise, and support real\-time observability\.
- Developed ML data\-cleaning, feature\-engineering, and experimentation workflows using Python, SageMaker, MLflow, TensorFlow, PyTorch, LangChain, and Pinecone\.
- Led engineering teams of more than 10 while remaining hands\-on with development and mentoring\.
- Developed iSAT at CenturyLink for automated L2, L3, and VoIP provisioning across routers and switches\.
- Built CenturyLink middleware with JBoss Fuse, Apache Camel, OSGi, and CXF\-based REST and SOAP services for multi\-domain integration\.
- Built secure cloud\-based audit modules and AngularJS single\-page applications at Aureus Tech Systems, reducing technical\-support workload by 25%\.
- Developed the Audit Prodigy web and iOS application at AuditProdigy\.
- Built iOS features including offline caching, push notifications, background threading, point\-of\-sale workflows, and social integrations at WinIT\.
- Designed J2EE/MVC/Struts architecture and Selenium WebDriver regression automation at Renaissance Softlabs\.

## Experience

- **Principal Software Developer at Verizon** (2025\-08\-01–present) — Lead architect driving multi\-team delivery for Verizon’s enterprise telemetry modernization initiative defining technical roadmap, mentoring engineers, conducting design reviews, and influencing strategy across AI, network, and cloud platforms\. Engineered an ultra\-efficient gRPC\-based telemetry ingestion platform replacing legacy HPOV, delivering $1\.2M\+ annual savings YOY and eliminating dependency on costly vendor tools\.
- **Senior Software Engineer at Verizon** (2017\-09\-01–2025\-08\-01) — Decommissioned multiple legacy network monitoring systems, including the HP OpenView \(HPOV\) vendor platform, and led the development of a consolidated, in\-house, vendor\-agnostic monitoring solution, delivering approximately $1\.2M\+ in year\-over\-year cost savings by eliminating third\-party licensing, infrastructure, and operational overhead\. Led the initiative end\-to\-end from proof of concept \(POC\) through design, development, and user acceptance testing \(UAT\), owning technical direction, delivery execution, and stakeholder alignment throughout the project lifecycle\. Built and scaled a real\-time monitoring platform handling SNMP traps from 100,000\+ network devices across 62\+ vendor types, reliably processing millions of live alarms and events in production environments\. Implemented 5\-minute device health and availability polling, enabling continuous status checks and proactive detection of failures across large\-scale network infrastructures\. Collected and processed SNMP performance m
- **Java Developer at CenturyLink** (2016\-09\-01–2017\-08\-01)
- **Software Engineer at CenturyLink, USA** (2016\-09\-01–2017\-10\-01) — Developed iSAT for automated L2/L3/VoIP provisioning across routers/switches built middleware using JBoss Fuse, Apache Camel, OSGi, and CXF\-based REST/SOAP services for reliable multi\-domain integration\.
- **Software Engineer at Aureus Tech Systems** (2016\-04\-01–2016\-09\-01) — Built secure cloud\-based audit modules and SPAs \(Java/J2EE, AngularJS, REST APIs\) with optimized SQL queries, reducing technical support workload by 25% and improving system responsiveness\.
- **Software Engineer at AuditProdigy** (2016\-04\-01–2016\-09\-01) — \- Developed web and IOS Application, "Audit Prodigy" \(http://auditprodigy\.com\)
- **Graduate Teaching Assistant at California State University\-Los Angeles** (2015\-01\-01–2016\-04\-01)
- **Software Engineer at WinIT** (2013\-07\-01–2014\-11\-01) — Built core iOS features \(offline caching, push notifications, background threading\) and POS/social\-integration workflows across email, sports, and retail apps\.
- **System Software Developer at WINIT Software** (2013\-05\-01–2014\-11\-01) — Mobile application Developer
- **Software Engineer at Renaissance Softlabs** (2011\-09\-01–2012\-04\-01) — Designed J2EE/MVC/Struts application architecture with JSP, Servlets, and JDBC built and maintained Selenium WebDriver regression automation\.

## Education

- Master of Science, Computer Engineering — California State University, Los Angeles (2015\-01\-01–2016\-01\-01)
- Doctor of Philosophy, Information Technology — University of the Cumberlands

## FAQ

### What does Rakesh do now?

Rakesh is a Principal Software Developer at Verizon and a lead architect for Verizon’s enterprise telemetry modernization initiative\. He leads multi\-team delivery, defines technical roadmaps and API standards, conducts design reviews, mentors engineers, and helps align architecture decisions with business strategy across AI, networking, and cloud platforms\.

### What are Rakesh's core professional strengths?

Rakesh has more than 12 years of experience designing and leading large\-scale distributed platforms across telecom, cloud, and enterprise software systems\. He is a hands\-on technical leader with experience leading teams of more than 10 engineers while building critical production components and mentoring colleagues\.

### What did Rakesh accomplish with the Verizon HPOV replacement?

Rakesh led major Verizon modernization work to replace legacy HP OpenView, also called HPOV or HP OV, with a consolidated in\-house and vendor\-agnostic monitoring solution\. The initiative eliminated costly vendor\-tool dependencies and delivered more than $1\.2 million in annual year\-over\-year savings through reduced third\-party licensing, infrastructure, and operational overhead\.

### What was Rakesh's role in the gRPC telemetry platform?

Rakesh engineered an ultra\-efficient gRPC\-based telemetry\-ingestion platform as part of the HPOV replacement\. He also led the effort from proof of concept through design, development, user acceptance testing, technical direction, delivery execution, and stakeholder alignment\.

### What scale of network telemetry has Rakesh supported?

Rakesh built and scaled a real\-time monitoring platform that handled SNMP traps from more than 100,000 network devices across more than 62 vendor types, processing millions of live alarms and events in production\. His broader Verizon telemetry work supported data collection for more than 350,000 multi\-vendor network devices across Verizon’s nationwide infrastructure\.

### How has Rakesh improved network visibility and device monitoring?

Rakesh implemented five\-minute device health and availability polling to enable continuous status checks and proactive failure detection\. The platform tracked sysUpTime to identify loss of visibility in near real time and collected SNMP performance data for CPU, memory, interface utilization, and error rates\.

### What streaming and observability work has Rakesh delivered?

Rakesh designed Kafka\-based streaming pipelines that ingest, normalize, and distribute high\-volume SNMP traps, polling data, syslogs, and performance metrics with low latency and high availability\. He also integrated New Relic for 24/7 observability, real\-time health tracking, alerting, and performance analysis\.

### How did Rakesh reduce migration risk for more than 100,000 devices?

Rakesh developed a Samplicator\-based proof of concept that enabled migration without reconfiguring more than 100,000 devices\. This reflects his experience designing safe migration architectures for critical production systems\.

### What performance and modernization results has Rakesh achieved?

Rakesh led a REST\-to\-gRPC migration that achieved three times the throughput\. He also optimized microservices to reduce memory use by 35–45% and contributed to scalable data pipelines serving more than 20 enterprise programs\.

### What dashboard and full\-stack work has Rakesh completed?

Rakesh built and deployed a custom analytics dashboard using FastAPI and React to replace Tableau end to end\. He has experience with React, FastAPI, Python, and on\-premises deployment infrastructure, and he is particularly effective at rapid proof\-of\-concept development and troubleshooting\.

### What AI and machine\-learning work has Rakesh done?

Rakesh has built anomaly\-detection models, intelligent trap\-classification pipelines, data\-cleaning workflows, and feature\-engineering processes\. His ML experimentation includes Python, Amazon SageMaker, MLflow, TensorFlow, PyTorch, and RAG/LLM tools such as LangChain and Pinecone his prototypes have been used to improve alert accuracy, reduce noise, and strengthen real\-time network observability\.

### What did Rakesh do as a Senior Software Engineer at Verizon?

Before his current Verizon role, Rakesh served as a Senior Software Engineer at Verizon\. He provided technical leadership through architecture design, core\-component development, coordination with partner teams, and guidance to engineers from concept through production adoption\.

### What did Rakesh do at CenturyLink?

At CenturyLink, Rakesh developed iSAT for automated Layer 2, Layer 3, and VoIP provisioning across routers and switches\. He built middleware using JBoss Fuse, Apache Camel, OSGi, and CXF\-based REST and SOAP services to support reliable multi\-domain integration\. He also held a Java Developer role at CenturyLink\.

### What did Rakesh accomplish at Aureus Tech Systems?

At Aureus Tech Systems, Rakesh built secure cloud\-based audit modules and single\-page applications using Java/J2EE, AngularJS, REST APIs, and optimized SQL queries\. This work reduced technical\-support workload by 25% and improved system responsiveness\.

### What did Rakesh do at AuditProdigy?

At AuditProdigy, Rakesh developed the web and iOS application Audit Prodigy\. The associated website is auditprodigy\.com\.

### What was Rakesh's mobile\-development experience at WinIT?

At WinIT and WINIT Software, Rakesh worked on mobile application development, including core iOS capabilities such as offline caching, push notifications, and background threading\. He also built point\-of\-sale and social\-integration workflows for email, sports, and retail applications\.

### What did Rakesh do at Renaissance Softlabs?

At Renaissance Softlabs, Rakesh designed J2EE, MVC, and Struts application architecture using JSP, Servlets, and JDBC\. He also built and maintained Selenium WebDriver regression automation\.

### What is Rakesh's education?

Rakesh earned a Master of Science in Computer Engineering from California State University, Los Angeles, where he also served as a Graduate Teaching Assistant\. He also earned a Doctor of Philosophy in Information Technology from the University of the Cumberlands\.

### What technologies and engineering practices does Rakesh use?

Rakesh's technical skills include Java, Core Java, Java Enterprise Edition, JavaScript, Python, C, C\+\+, Objective\-C, SQL, XML, JSON, HTML, CSS, Spring Framework, Spring MVC, Spring Boot, Jakarta Persistence, microservices, REST, SOAP, web services, gRPC, Apache Kafka, Docker, Kubernetes, AWS, ECS, EC2, CloudFormation, S3, CI/CD, Jenkins, Git, Maven, Linux, PostgreSQL, MySQL, SQLite, Prometheus, Grafana, Splunk, New Relic, Jira, Rally, Postman, SoapUI, DevOps, testing, SDLC, Agile methodologies, requirements analysis, and team management\.

### What are Rakesh's networking and mobile\-development specialties?

Rakesh has deep networking and monitoring experience with SNMP, SNMP traps versions 1, 2, and 3, SNMP performance metrics, syslogs, UDP protocols, networking systems, and monitoring platforms\. His mobile\-development background also includes iOS, Xcode, Interface Builder, Core Data, Cocos2D, iPhone and iPad application development\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/rakesh\-devunuri\-73550128

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