Professional

Background

Principal Software Engineer with 18+ years across large-scale consumer platforms, gaming, and web3—recently focused on AI agent workflows, governance, and operational control systems.

Summary

I build and lead full-stack, data, and distributed systems spanning backend services, frontend applications, ETL and data pipelines, cloud infrastructure (AWS, Azure, Kubernetes), CI/CD, and observability.

I have a strong record shaping technical direction, driving architecture decisions, and operating high-availability systems that support critical business workflows and large-scale customer experiences—including hiring, mentoring, and high-ownership cultures in close partnership with product and business stakeholders.

Core skills

Leadership & delivery

  • Technical leadership, engineering management, hiring, mentoring, cross-functional delivery

AI & platforms

  • AI agents, agentic workflows, human-in-the-loop controls, governance, auditability
  • Distributed systems, microservices, event-driven systems, REST APIs, gRPC

Engineering breadth

  • Full-stack: backend services, frontend apps, data pipelines, databases
  • Java, Python, JavaScript, React, Node.js, SQL, Solidity, Rust

Data & infrastructure

  • PostgreSQL, MySQL, SQL Server, IBM DB2, Cassandra, Redis, Kafka, SQS, Hive, Presto, ETL/ELT
  • AWS, Azure, Kubernetes, CI/CD, Jenkins, Datadog, Linux, macOS
  • Web3, blockchain, smart contracts

Experience

Scope and outcomes across each role.

Independent Principal Engineer · ACTower

Pleasanton, CA · Jan 2026 — Present

AI agent governance and operational control

  • Co-building ACTower, a platform for monitoring, governing, and managing AI agent workflows.
  • Designing systems for agent visibility, human approvals, and operational control for production use.
  • Prototyping multi-agent workflow patterns for reliability, auditability, and observability across terminal and web-based environments.
  • Driving early product validation through technical writing and community engagement; authored an article on AI agent governance and operational control: “Your AI Agents Are Running Wild, Here's How to Take Back Control.”

Principal Software Engineer · Wheels Up

NYC, NY · Feb 2023 — Dec 2025

On-demand private aviation platform

  • Built and scaled the Data Science Engineering team from 1 to 5 engineers by defining the hiring bar, interviewing, onboarding, and mentoring.
  • Led production optimization platforms, growing owned applications from 3 to 22 in under three years with data science, product, and operations.
  • Re-architected fragmented optimization services into four cohesive, team-owned products—reducing complexity, accelerating deployments, improving onboarding, and cutting production incidents.
  • Introduced containerization and CI/CD from the ground up, reducing operational overhead and improving deployment reliability.
  • Established Datadog-based observability across logs, metrics, dashboards, and alerts; improved incident response and increased service reliability to over 99.8% availability with fewer than one reported bug per week.

Software Engineer · Magic Eden

San Francisco, CA · Sep 2022 — Feb 2023

Leading NFT marketplace

  • Joined during high growth as the company reached unicorn status in under nine months.
  • Built full-stack tooling across Ethereum, Polygon, and Solana—frontend, backend, CLI, and smart contract integrations for NFT protocols and high-volume launch workflows.
  • Automated NFT collection releases across several chains, replacing manual processes and reducing operational risk and time-to-launch.
  • Improved release security by integrating AWS KMS into NFT collection workflows to protect private keys and strengthen operational safeguards.

Senior Software Engineer · Netflix

Los Gatos, CA · May 2013 — Aug 2022

  • Owned a backend service that generated profile-level match scores for unwatched titles, supporting personalization at scale for 200M+ customers globally.
  • Owned RENO, Netflix's rapid event notification system.
  • Delivered features through A/B testing and explore-exploit approaches in content asset delivery and related backend services.
  • Contributed to the initial setup of Chaos Kong for chaos engineering and resilience across distributed systems.
  • Led full-stack internal tools used by hundreds of daily users for ML performance analysis, personalized asset selection monitoring, and title health workflows.

Senior Software Engineer in Test · Big Fish Games

Seattle, WA · Aug 2010 — May 2013

  • Contributed to Game Manager, a customer-facing desktop client used by millions for discovery, purchasing, downloads, and DRM.
  • Drove evolution of Game Manager into an advertising platform, generating millions of dollars in incremental revenue.
  • Built a reusable in-app purchase framework across multiple games for additional virtual goods revenue.
  • Owned internal tooling and release workflows for DRM and game asset delivery, supporting 20+ employees and reliable delivery to millions of customers.

Software Engineer in Test · Microsoft

Redmond, WA · Oct 2007 — Aug 2010

  • Contributed to end-to-end development and testing for UML Designers in Visual Studio 2008 and 2010 within an agile product unit of 50+ engineers.
  • Owned memory testing across the product unit, helping resolve memory leaks and 15 memory-related product crashes.
  • Built a memory monitoring tool for virtual/private/committed memory and GDI counts; used Visual Studio, WinDbg, .NET Profiler, and PerfMon for debugging.

Education

  • M.S. in Computer Science, University of Houston — Aug 2005 – Oct 2007 (Graduated with Honor)
  • Graduate Studies in Informatics, Technical University of Munich — Oct 2003 – Aug 2005 (Selected for graduate exchange program; continued MS studies at the University of Houston)
  • B.S. in Computer Engineering, Istanbul Technical University — Oct 2000 – Jan 2005 (Graduated with High Honor; ranked 2nd in graduating class)