Árpád Goretity

My Mission

First and foremost, I am a technical problem solver. As such, I am a strong believer in the multidisciplinary approach: one must learn about a domain as much as necessary and possible, in order to provide a correct, maintainable, and robust solution to the challenge at hand.

I find it exceptionally important to work in a way that I can explain my goals, methods, and results to a technical and non-technical audience at the appropriate level, which makes teaching and mentoring an essential part of my toolbox.

My Experience

I worked in several fields and solved many problems, where mentoring, teaching, and public speaking have always been part of the package:

• I started my career as a self-taught iOS tweak developer in 2009, during the halcyon days of jailbreaking. With a few coworkers, I ended up completely re-architecting iCsekk, the top utility bill payment application in Hungary, finding and explaining several high-impact security & logic bugs to C-level management. This resulted in a decision of a complete rewrite, which involved fixing bugs, improving maintainability, and accommodating some idiosyncrasies of the backend (which we did not control).
• Learned Python, JavaScript, shell scripting, and become interested in compilers. I eventually implemented my own scripting language, Sparkling. I learned about optimizations, and gained significant hands-on experience with compiler implementation using LLVM. I introduced Sparkling to the general public at Prezi Tech Talks Budapest, then gave a series of talks at Budapest Swift Meetup on implementing a small, typed language, and a presentation on optimizations at Swift London Meetup.
• Since my sophomore year, I've been mentoring university students formally (as a teaching assistant and lab instructor) as well as informally, in various formal subjects and broader topics around computer engineering, including: C++, Rust, Python, parallel programming and HPC, linear algebra, calculus, machine learning, and dynamical systems.
• Wrote my Bachelor's thesis in hardware acceleration of a protein structural alignment method. I implemented the algorithm using HLS in C++ on a Xilinx development board, learning the basics of FPGA-based design in the process. I presented the results as a paper for the ECCTD conference in 2017 in Catania, Italy, as well as a follow-up talk at Budapest Science Meetup.
• Discovered Rust in 2017 and it quickly became my main language. I gained substantial experience with the ecosystem, published a number of libraries, and contributed to the Rust Users forum.
• Graduated Summa Cum Laude with an MSc in Data Science from the University of Padua in 2020. Since then, I have been pursing a hybrid data scientist/software architect career at two Hungarian private medical companies, where my tasks range from biostatistical modeling through Typst-based template generation to bioinformatics consulting. I regularly mentored interns and junior team members to improve their coding, algorithm design, and software maintenance skills. During the Covid-19 pandemic, gave an interview about contact tracking methods and applications in the light of mathematical modeling methods.

Language proficiency

• Certificate of English proficiency, level C2, Cambridge Assessment
• Accredited French language exam, level C1, Budapest University of Technology.
• I picked up conversational-level Italian during my 2 years in Padua.
• My native language is Hungarian.