Igor Pidik

Software engineer

ML engineer

Data scientist

Igor Pidik

Software engineer

ML engineer

Data scientist

What do I do?
Software engineering

Passionate about software engineering and architecture. I enjoy building complex systems while keeping every piece of the puzzle as simple as possible. Keen on clean and testable designs.

ML engineering

My areas of interest are computer vision & NLP (attention, transformers, generative models, etc.).

Data science

Data science is fun!

Web3

I am especially interested in Web3 Apps and smart contracts.

Coding
  • Backend
    90%
  • Machine learning
    85%
  • Frontend
    80%
  • iOS
    85%
  • Web3
    70%
  • Android
    80%
Technologies
  • Python, Golang, TS/JS, Swift, Kotlin, Solidity, Java, C/C++, PHP, HTML, CSS
  • Django, Flask, React, Vue, Laravel, Qt
  • REST, gRPC, GraphQL
  • Docker, Kubernetes, CI/CD
  • iOS, Android
  • PyTorch, TensorFlow, Keras
  • NLP, HuggingFace - Transformers, Computer vision
  • Smart contracts, Brownie, Hardhat
Experience
Junior Software Engineer II
2023 - Now
Junior Software Engineer II
Booking.com
Backend Engineer
2023 - Now
Backend Engineer
AG5
NLP Internship
2022-2023
NLP Internship
Findest
  • Worked on a project centered around mapping of natural language to searchable query
  • Worked on another project centered around document retrieval
  • Applied techniques from information extraction, summarization, information retrieval and related tasks to real world problems
  • Deepened my understanding and amassed valuable experience with CRF, self-attention, transformers and generative models
Software engineer (part-time)
2017 - 2022
Software engineer (part-time)
Verifai

Backend

  • Built and maintained APIs for both SDKs and customer-facing apps
  • Built customer facing features
  • Worked on crucial parts of our services such as onboarding, billing, role/permissions management and others
  • Testing
  • General maintenance & bug fixing

Web

  • Worked on front-end features in the customer dashboard
  • Partaken in the development of our web SDK (written in React)

iOS

  • Worked on customer-facing iOS app
  • Handled authentication system, navigation system and API consuming
  • Proposed and performed large scale refactoring into MVVM architecture, which among other benefits, eliminated bloated view controllers and made them easier to test

Android

  • Partaken in an almost complete “do-over” of our android SDK
  • Worked on handling large number of screens and flows, where a solid navigation system became necessary

Education
2020 - 2022
MSc CS: Data Science & Systems Complexity
University of Groningen

Focused on Machine Learning and NLP

2017 - 2021
BSc CS
University of Groningen

Focused on Machine Learning

2015
CS188.1x: Artificial Intelligence (BerkeleyX)
edX
Certificate
2015
Artificial Intelligence Planning
Coursera
Certificate