Core Trading Systems Team
Technical Skills: C++, Quantitative Finance
Options Technology Team
Technical Skills: C++, Quantitative Finance
Worked with Google's Graph Query Language Team
Development of Internal Tooling (Knowledge Graph | PathQuery)
Technical Skills: C++, Relational Algebra, Google Internal Tooling
End-to-End Implementation of a Classification System
Automatic Generation of Internal & External API-Documentation
Technical Skills: TypeScript, Python3, PyTorch
Development of a systolic array-based design to compute the Matrix Profile efficiently on Xilinx FPGAs using C++, OpenCL and Vitis™ High-Level Synthesis for Xilinx FPGAs. The solution scales well with both memory as well as compute resources.
Implementation of a processor-core compliant with the RISC-V specification, optimized with an instruction level pipeline. Over the span of two semesters, our team of six students realized the project with the help of the circuit description language VHDL on a FPGA board.
Development of my own strongly typed, low-level, general purpose programming language in C++. Cobold has performance matching C++ using LLVM, with low-level access to bits and addresses.
Aiming to solve all leetcode.com (competitive programming) problems.
Current progress: -/- Easy | -/- Medium | -/- Hard
Scholarship of the "Studienstiftung des Deutschen Volkes" awarded in recognition of excellent academic achievements and extracurricular engagement.
Less than 0.5% of German students are awarded this sholarship.
Scholarship of the "TUM: Junge Akademie" awarded to "exceptionally talented students"
Selected as one of 42 students for the class of 2020