Arnav Daultani

I am a computer science undergraduate at NYU Tandon, minoring in data science and mathematics. I grew up in Mumbai and moved to Brooklyn in 2025.

The work I care about sits close to the machine: compilers, search, and the parts of a system that only show their problems once real input hits them. I keep rebuilding the layer underneath the thing I am using, because it is the only reliable way to find out whether I understand it or have just memorized its interface.

That is not the only kind of work I do. At EY I built a computer vision pipeline that reads vehicle identification numbers out of insurance claim video, and shipped it to production. Getting a model to 96 percent is one problem. Getting a forensics team to trust the output enough to act on it is a different one, which is why the system checks itself against a second model before it reports anything.

Before NYU I finished the International Baccalaureate at Oberoi International School with 41 out of 45, taking computer science, mathematics, and economics at higher level. The economics keeps turning out to matter. Every internship I have done has come down to a rule and whether something complies with it: building codes at the municipal corporation, fraudulent claims at EY, credit and risk at AEREM.

I am also the person who wrote a policy paper about putting feedback terminals in bus stops. Designing for several languages and for people who would rather speak than type made it obvious that accessibility is the design, not a section at the end of it.

Open to machine learning and software engineering internships for summer 2027, and to product work that stays close to the engineering.