Akhilesh Camisetty

About Akhilesh Camisetty

As a Principal Engineer with a decade-plus of experience, I thrive at the intersection of strategic vision and deep technical execution. I focus on architecting, building, and optimizing robust, scalable cloud-native ecosystems, primarily leveraging AWS while leading high-impact initiatives. I bridge the gap between high-level business objectives and practical implementation by defining technical roadmaps while remaining hands-on across the stack.My expertise encompasses AWS Solutions Architecture, modern Platform Engineering, and end-to-end DevOps methodologies. I possess significant technical breadth, allowing me to design intricate systems, diagnose complex issues across domains, and contribute directly to implementation, particularly using Golang. I have a proven track record; for instance, I spearheaded the company\'s adoption of data-driven design principles by architecting and implementing a sophisticated feature flagging system from the ground up. Engineered for ultra-low latency (p99 < 40ms), this system integrated robust metadata management for precise experiment configuration and was coupled via eventing with analytics platforms for near real-time monitoring of results. This strong technical foundation enabled rigorous experimentation (like A/B testing) and empowered teams across the organization to make truly data-informed product decisions with high confidence. Ultimately, this initiative was instrumental in fostering an experimentation-first culture across the entire company, fundamentally shifting our development lifecycle to the point where virtually every new feature is deployed safely behind a flag before full release.A significant part of my current focus involves artificial intelligence. I am learning emerging AI techniques and applying AI/ML to solve concrete business problems across the engineering lifecycle. This includes leveraging AI for enhanced cloud development, providing project management insights, utilizing AI-assisted coding, implementing AIOps, and deriving deeper AI analytics for experimentation. I am also leading initiatives to integrate these technologies strategically within our platform.Beyond technology, I am passionate about mentoring engineers, fostering technical excellence, and driving collaborative innovation across teams. My goal is to leverage my extensive experience and broad skill set to tackle challenging problems and deliver solutions that provide lasting value.

Experience

1. Principal Engineer, Software Development & Engineering

   Comcast

   Feb 2023 — Present · Philadelphia, PA, US

   Spearheaded the shift to an experimentation-first culture by architecting & scaling a high-performance (p99<40ms) feature flagging system with integrated metadata/analytics; became foundational, deploying virtually all features behind flags pre-release.Led architecture for the critical Showback system, providing Finance vital data on service usage/adoption/expenditure; engineered its near real-time ingestion pipeline (millions records/day) with flexible data streaming.Architected scalable, near real-time data ingestion (millions records/day) for experimentation targeting & usage analytics; integrated data flow with AI systems for automated reporting on adoption, trends, and experiment analysis.Championed modern engineering practices: established Spec-first API design, embedded AWS DevOps best practices, and built automated CI/CD pipelines (GitHub Actions) with robust rollbacks for enhanced deployment reliability.Currently leading development of the next-gen experimentation platform featuring real-time trigger testing via metadata streaming.Actively driving AI adoption across the engineering lifecycle: promoting AI-assisted coding, building knowledge graphs for AI processing, integrating cloud (MCP)/on-prem services, and exploring AI in deployment/PR reviews.Dedicated significant effort to mentoring engineers at various levels, guiding their development in system design, coding standards, and effective problem-solving.

Education

• University of Massachusetts Dartmouth

  Master of Science (M.S.), Computer and Information Sciences

  2015

• Visvesvaraya Technological University

  Bachelor of Engineering - BE, Computer Science

  2009 — 2013

Skills

• Docker
• C#
• .net
• Gulp
• Cross-Team Collaboration
• Git
• Cloud Automation
• Vmware Esx
• Node.js
• Mysql
• Chef
• Microsoft Office
• Android Development
• Documentation and Specification
• Angular
• Aws Elastic Beanstalk
• Php
• Cascading Style Sheets (Css)
• Javascript
• Maven
• Aws Codepipeline
• Html
• C++
• Oracle Database
• Jenkins
• Data Structures
• Nosql
• Python
• Ansible
• Aws Codedeploy
• Microsoft Word
• Grunt
• Business Communications
• Sql
• React.js
• Coding Experience
• Customer Support
• Problem Identification and Solution Analysis
• Critical Thinking
• C