Dmytro Zakharov
Scholar

Dmytro Zakharov

Google Scholar ID: WL-8aoAAAAAJ
Pure Mathematics Student, Kyiv School of Economics
Deep LearningMachine LearningBiometrics SecurityApplied CryptographyBlockchain
Citations & Impact
All-time
Citations
51
 
H-index
4
 
i10-index
2
 
Publications
11
 
Co-authors
5
list available
Resume (English only)
Academic Achievements
  • Wrote and published multiple academic research papers; participated in the development of several blockchain-related projects; served as a finalist and math test creation lead for Ukraine Global Scholars.
Research Experience
  • 1. Distributed Lab, Research and Development Engineer in Applied Cryptography, Full-time, Jun 2023 - Present, Leading development of a highly optimized client-side zero-knowledge Machine Learning framework, researching state-of-the-art technologies in Applied Cryptography and Decentralized (Blockchain) Systems, writing and publishing academic research papers, heading internal lectures to improve the company's general Mathematics and research writing level; 2. Junior Golang Backend Developer, Full-time, Jan 2022 - Jun 2023, Optimized zero-knowledge PlonK-based circuits for elliptic curve operations, integrated KYC and deposits/withdrawals functionality, implemented backend notifications service, led Backend Team on open-source tokenized books store project, implemented document aggregator service, developed Backend services for P2E game, decentralized marketplace statistics processing, and IGO crowdfunding website; 3. Intern Golang Backend Developer, Full-time, Nov 2021 - Dec 2021, Programmed microservice using Golang, studied how to work with databases, Docker, basics of Blockchain and Cryptocurrency, worked with Linux and Git.
Education
  • 1. Kyiv School of Economics, Pure Mathematics Major, Master's Degree, Sep 2025 - Jun 2027, Kyiv, Ukraine; 2. Karazin National University, Applied Mathematics Major, Bachelor's Degree, GPA: 96/100, Sep 2021 - Jun 2025, Kharkiv, Ukraine
Background
  • Research interests include zero-knowledge technologies, anonymous identity systems, zkVMs, and neural network security. Strong background in academic research, writing, and teaching.
Miscellany
  • Skills span languages, backend development, machine learning, and more; was one of 56 finalists out of 550 applicants selected through a rigorous 3-stage selection process focusing on academic skills, extracurricular achievements, and character, currently leading the entrance math test creation used for assessing over 300 students.