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Andrew Charneski

Andrew Charneski

AI Product Engineer

Talent
Columbus, City of Columbus, Franklin100 USD/hourMember since October 14, 2025
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About

Senior AI Platform Engineer with 20+ years of experience designing and building robust, scalable machine learning systems. Specializes in high-performance JVM-based ML, GPU acceleration, and creating innovative developer tools that bridge the gap between AI research and production environments. Author of multiple open-source AI frameworks and tools, including an IntelliJ plugin with over 57,000 downloads.

Proven ability to translate theoretical concepts into practical, enterprise-grade AI platforms.

Experience

Senior Software Engineer

Remote/Westerville, OH

Oct 2018 - July 2025

Developer Experience AI: Pioneered and built agentic AI systems to automate troubleshooting and operational intelligence, directly improving developer and operator workflows.

Full-Stack DevTools: Architected and delivered a full-stack application (React/TypeScript + Kotlin/Spring) leveraging LLMs to analyze Jenkins build failures, enabling self-service diagnostics.

JVM Performance Tuning: Led deep-dive performance analysis of critical JVM-based services, achieving significant throughput improvements and cost savings through advanced profiling and optimization.

Deployment Orchestration: Designed and built a sophisticated, multi-stage deployment orchestration tool with automated canary analysis, rollback capabilities, and comprehensive audit trails, increasing deployment safety and velocity.

Open Source Integration: Maintained and enhanced core open-source platforms (Apache Ranger, Azkaban) to meet enterprise requirements, contributing patches upstream.

Software Consultant

Seattle, WA

2012 - Oct 2018

At Expedia, led cloud migration of big data infrastructure (Hadoop to AWS/Qubole) and designed a high-performance real-time ads targeting system (~10k tps, TP95 <5ms).

At Amazon, led productionalization of a Java web service for decision support and developed real-time DDoS detection systems.

At HBO, reduced cpu and memory load by 90% through critical bug fixes and developed static code analysis tools for large-scale code cleanup.

At Plugged-In Technologies, created a cross-platform video conferencing app with advanced features like screen sharing and recording.

At Big Fish Games, developed an Android video game streaming client with real-time video processing capabilities.

Education

Long history of publishing open source research and software projects

Bachelor of Engineering Physics

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