Background
Education
Purdue University, West Lafayette
August 2022 – May 2024
Master of Science in Computer Science
- GPA: 3.83 / 4.0
- Relevant Courses: Operating Systems, Advanced Algorithms, Software Engineering, Database Systems, Information Security, Cloud Computing, Computer Networks, Software Testing
Purdue University, West Lafayette
August 2018 – May 2022
Bachelor of Science in Computer Science
- 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
Programming Languages: Assembly, AWS, C, C++, Datadog, Docker, Firebase, Flask, Go, Heroku, HTTP, Java, Kubernetes, JavaScript, Linux, Terraform, MongoDB, Neo4J, Python, React, REST, SQL, Websocket
Languages
English (Native), Turkish (Fluent), Norwegian (Fluent), German (Basic)
Employment
Philips Hue, Menlo Park, CA
Cloud Development Engineer
May 2024 – Present
- In progress work on Google home integration for Hue integrated devices.
Purdue University, West Lafayette, IN
Graduate Teaching Assistant
Jan 2023 – Present
- Created assignments, managed administrative tasks, and mentored students for two courses: Software Testing (Spring 2023) and Software Engineering (Fall 2023).
- Assessed, monitored, recorded, and reported on student learning needs, progress, and achievements.
Philips Hue, Menlo Park, CA
IoT Software Engineer Intern
Jun 2023 – Aug 2023
- 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 in AWS with Terraform.
- Implemented Observability as Code for Datadog, enhancing team awareness of product performance.
- Utilized AWS SAM and LocalStack to test and configure IAM policies and AWS resources.
Superbrain Securities, New York City, NY
Software Engineer and Researcher
Aug 2020 – Aug 2022
- Led team in a startup company focused on development of algorithms for financial analysis and stock prediction, leading to profits by applying algorithms to real-time trading.
- Researched algorithms for stock trading and portfolio management through machine learning.
- Developed financial analysis and stock prediction app, integrating React/JS, Python/Flask, PostgreSQL.
- Managed Docker containers for development and production workflows to streamline development processes.
Purdue University, West Lafayette, IN
Undergraduate Teaching Assistant
Dec 2019 – Sep 2021
- Served as a TA in four courses: Python Object-Oriented Programming (Spring 2019 and Fall 2019), Programming in C (Spring 2020), Computer Architecture (Summer 2020), and Programming in Java (Fall 2021).
- Proctored lab sessions and held office hours to help students, graded homework and labs, and answered student questions on Piazza forum.
Purdue University, West Lafayette, IN
Curriculum Developer
Jun 2020 – Aug 2020
- Designed homework assignments, and labs in Data Structures and Algorithms course.
- Tested code in three projects with JUnit tests to uncover fatal bugs before launch.