ankushindaniil/resume

Daniil Ankushin

Contact Information

• [email protected]
• LinkedIn
• GitHub
• Telegram

Summary

I'm a software developer who's passionate about improving blockchain technology to make the world a better place.

Skills

• Programming Languages: Go, Solidity, Typescript, Python
• Tools: git, docker

Projects

• Website for tattoo studio: backend, React frontend, smart contract

  Go, Docker, PostgreSQL, React, TypeScript, Solidity, Hardhat

  • This website is developed for tattoo masters to book timeslots in the tattoo studio with the ability to pay by ETH and book timeslots using Ethereum storage.
  • Implemented clean architecture and REST principles in backend development
  • Applied feature-sliced design to front-end development
  • Developed a smart contract

• NFT factory

  Solidity, JavaScript, hardhat

  This is a smart contract to mint NFTs and store them on NFT storage

• DEFI smart contract to interact with AAVE

  Solidity, JavaScript, hardhat

  This is a project that allows users to lend and borrow using AAVE

• Decentralized lottery on etherium

  Solidity, JavaScript, hardhat

  This is a smart contract enabling players to participate in a trustless, decentralized lottery

• Birefringence dispersion compensation algorithm

  Python

  • Conducted research on birefringence dispersion
  • Developed a mathematical model solution
  • Designed and implemented an algorithm to solve this problem in practice (Python)
  • The visibility peaks can now be detected more accurately. The spatial resolution has been improved by 600%, and the accuracy has been improved by 1000%.
  • Compensated single and weakly superimposed vision peaks without losing information. Achieved a spatial resolution of 32 cm and an accuracy of 4 cm.
  • The results were obtained on ESC-4 fiber with $∆𝐷≈{0.006 𝑝𝑠 \over (𝑘𝑚∙𝑛𝑚)}$ and a fiber length of $582 m$, but they can be scaled to other types of PMF.
  • Rewards:
    • Winner of the Student Startup Grant Competition: Results, №19, original, translation
    • Winner of the nomination "For the best report by a young scientist": original, translation

• Automatic algorithm for detection and classification of microparticles on digital axial holograms

  Python

  • Captured many digital holograms of transparent microparticles
  • Created a unique dataset of marked and classified microparticles on digital holograms
  • Designed and implemented convolutional neural network for microparticle detection and classification (Python)

• Erbium Doped Fiber Amplifier (EDFA) production for fiber optic communication line

  • EDFA is used instead of repeater to increase small signal due to fiber losses.
  • Researched EDFA production process, resulting in 300% improvement in production efficiency and 1000% improvement in reliability.
  • Trained over 10 new employees

Work experience

• Research And Development Engineer at ITMO University (Mar 2019 - Present)

Education

• Bachelor's degree: ITMO University, Photonics and Optical Information Technology (2017 - 2021)
• Master's degree: ITMO University, Light Guide Photonics and Programmable Electronics with GPA 5.0 (2021 - 2023)
• Rewards:
  • Best Graduate of ITMO 2023
  • II degree in the competition for the best R&D among 2023 graduates: original, translation

Achievements

• Winner of the competition for an increased governmental academic scholarship
• Master's degree with honors