About me

SWE and AI safety researcher. Prev @ Philips, AGI Inc/MultiOn (Amazon), Circleback (YC), Helicone (YC), Purdue. Thinks about agents all the time (it is a bit of an obsession).

Professional Experience

  • Software Engineer (Oct 2025 – Feb 2026), Circleback AI, San Francisco, CA
    • Developed ChatGPT-style meeting notes assistant and MCP server which is the top connector in the Claude marketplace using NextJS, TypeScript, and PostgreSQL.
    • Built a customer-facing Usage Dashboard in NextJS and TypeScript for tracking meeting frequency, participant trends, and usage patterns.
  • Software Engineer (May 2025 – Oct 2025), Helicone AI (acquired by Mintlify), San Francisco, CA
    • Built and scaled Helicone’s global Kubernetes infrastructure across EKS and GCP clusters, leveraging Helm and Terraform, directly contributing to $300k in additional ARR.
    • Developed evaluation pipelines and HQL (Helicone Query Language) for LLM based workflows with NextJS, Typescript, Python, and Postgres.
  • Software Engineer (May 2024 – May 2025), Philips Hue (Signify), Menlo Park, CA
    • Deployed and managed AWS infrastructure for the Google Home integration, including EKS, API Gateway, Lambda, Elasticache, Elastic Beanstalk, DynamoDB, and Docker.
    • Engineered AI integration for Hue integrated smart home devices in Golang, which is now deployed to millions of devices worldwide.
  • Contract Software Engineer (Jan 2024 – May 2024), AGI, Inc. (formerly MultiOn), Palo Alto, CA
    • Wrote agent harness for stress testing LLM integrated agents on web tasks in parallel using Python, Playwright, and Docker, the foundation of which later became a top tier research paper.
  • Cloud Engineer Intern (Jun 2023 – Aug 2023), Philips Hue (Signify), Menlo Park, CA
    • Engineered Golang Philips Hue Sync Box Alexa Skill integration that has been deployed worldwide.
    • Created API Gateway, Lambda, DynamoDB and CloudWatch resources and IAM policies through Terraform.
  • Software Engineer (Aug 2019 – Aug 2022), Superbrain Securities, New York City, NY
    • Developed financial analysis and stock prediction app with React/JS, Python/Flask, PostgreSQL, Terraform, and Docker.
  • Teaching Assistant (Dec 2019 – Jan 2024), Purdue University, West Lafayette, IN, USA
    • Supervised students and lectured on complex concepts in Python, C, Java, Computer Architecture, Software Testing, and Software Engineering courses.

Education

Master of Science in Computer Science (Aug 2022 – May 2024), Purdue University, West Lafayette, IN, USA

  • GPA: 3.83 / 4.0
  • Relevant Courses: Operating Systems, Advanced Algorithms, Software Engineering, Database Systems, Information Security, Cloud Computing, Computer Networks, Software Testing

Bachelor of Science in Computer Science (Aug 2018 – May 2022), Purdue University, West Lafayette, IN, USA

  • GPA: 3.85 / 4.0
  • Relevant Courses: Systems Programming, Algorithms, Programming in C, Calculus, Linear Algebra, Statistics, Information Systems, Computer Architecture

Technical Skills

Software Experience: C, Datadog, Docker, EKS, GCP, Gitlab CI, Go, Helm, Java, JavaScript, Linux, NextJS, Python, React, REST, SQL, Terraform, Typescript

Languages: English (Native), Turkish (Fluent), Norwegian (Fluent), German (Basic)