At Palantir (NYSE: PLTR), we're helping the world's most important institutions use their data to solve their most urgent problems. Our software lets our customers integrate and analyze all of their data so they can answer questions that they couldn't before. From delivering disaster relief to building safer automobiles, we're honored to help make our partners better at their most important work. 

Together with our customers, we're building the future of national security, healthcare, energy, finance, manufacturing, and more. And we need bright minds from around the world to help us.

Activities and Societies: A-Eskwadraat, IAESTE Curriculum highlights: Modeling and Simulations, Quantum Field Theory, Statistical Field Theory, General Relativity, Condensed Matter Theory, Advanced Topics in Theoretical PhysicsI have been recruited by Siemens as a data analyst, midway through my studies.

Utrecht University

Curriculum highlights: Artificial Intelligence, Advanced Programming

Columbia University in the City of New York

Activities and Societies: Buboarders - Bogazici University Snowboarding Team, Budak - Bogazici University Mountaineering Club Curriculum highlights: Data Structures & Algorithms, Databases, Computational Physics, Object Oriented Programming, Programming with C, Introduction to Scientific Computation and Report Writing

Boğaziçi University

- Lead API migration project for Palantir Gotham, one of two platforms Palantir offers.
- Lead frontend efforts for atomized entity resolution

Software Engineer

- Lead design and creation of a machine learning solution for timeseries forecasting.
- Worked on Kubernetes readiness for a variety of Palantir products.
- Lead design and deployment of a data solution that literally saves lives via improving car safety.
- Worked on creation of continuous integration solution prototype for keeping fresh data pipelines.

Worked on creation and delivery of the very first live streaming offering of Amazon Music, which started with Bundesliga and Champions League matches(soccer/football), all in less than 6 months. Worked with a strong engineering team as well as audio/data broadcasters, editors and commentators to design and deliver an end to end system.

Worked on data analysis R&D, built software for computing physical properties of complex systems, designed signal processing algorithms for filtering high frequency signals based on physical nature of the components involved on measurements, created a framework that enabled parallelizable compute jobs to be submitted to an on-prem grid.

Designed and implemented Monte Carlo simulations for 2 dimensional particle spin model on charge density avalanches.