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Iancu Verghelet

iOS Developer · Web Developer · Machine Learning Engineer

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About Me

Growing up in Brasov (Romania), a city with a large German-speaking community, gave me the opportunity to learn German at an early age. During my final Bachelor’s year, I became passionate about artificial intelligence and machine learning and decided to move to Germany to pursue a Master’s study in this field. During my master’s in Data Knowledge and Engineering at the OVGU University in Magdeburg I have gained theoretical knowledge about advanced machine learning concepts and state-of-the-art deep learning models. In September this year, I will have finished my Master’s thesis about convolutional neural networks for defect detection in X-ray images of automotive parts.


Even though I haven’t graduated yet, I have a 3-year experience as a software developer. Before moving to Germany, I was an iOS Developer, part of an international, cross-functional team at IBM. By contributing to an agile development process with a high emphasis on product quality in a corporate environment, I’ve learned that writing code is just one of the responsibilities of a software developer.


After moving to Magdeburg, I took on a job as a web developer for Bridgefield and worked on the implementation and deployment of web applications using Angular and .NET Core. Ironically, at Bridgefield, which is a startup company, I learned how important code quality is by taking part to a rigorous development process with multiple code reviews, high-unit test coverage and a well-defined continuous integration pipeline.


My Master’s study in Data Knowledge and Engineering and my hands-on-experience with deep learning models gained during my Master’s thesis only reignited my passion for AI and machine learning. Currently, I am planning to move from Magdeburg and am looking for remote/on-site job opportunities as a machine learning engineer (preferably product).

Experience

bridgefield

Web Developer (Student)

  • Successfully developed and deployed multiple web applications using Angular, .NET Core RESTful web services and the OPC-UA standard for the digitalization and data collection of a foundry for a major car manufacturer
  • Was part of an agile and rigorous development process with an emphasis on code quality, consisting of multiple code reviews, high unit test coverage and a well‑defined CI pipeline

IBM

iOS Developer

  • Implemented multiple new features for healthcare iOS Native applications using Swift and the MVVM pattern for private health insur‑ ance companies from Germany

Education

Otto von Guericke University

2018 - 2021

Master of Science in Data Knowledge and Engineering

Selected coursework ‑ Deep Learning, Adv. Topics in ML, Data Mining II, Clean Code Development, Adv. Database Models

Transilvania University

2015 - 2018

Bachelor of Science in Computer Science

Selected coursework ‑ Object‑oriented programming, Algorithms and Data Structures, Distributed Programming

Projects

Explainable defect identification in X‑rays of automotive parts using CNNs

Master's Thesis
  • Developed a machine learning pipeline and multiple custom convolutional neural networks for the identification of casting defects in real‑world X‑ray images using tensorflow, WandB and scikit‑learn for a major car manufacturer
  • Used explainable AI methods to visually highlight the potential defects in the X‑ray images and achieved a 93% classification accuracy

Soundtrace: audio copyright content management for Twitch streamers

Personal project
  • Designed and implemented a web application that enables Twitch streamers to mute or delete videos that contain audio copyrighted material
  • Developed using the public Twitch API, Angular, Nest.js and redis jobs for the downloading and fingerprinting of the audio content

Database query optimization by partitioning for aggressive data skipping

Scientific team project
  • Developed an API for Apache Spark using Spring Boot and Apache Livy that enables the partitioning of data for faster query times
  • Achieved a 40% decrease in rows scanned by clustering the data based on the most used filters and skipping irrelevant partitions

Pill Reminder: medication tracker and reminder iOS app

Internship project
  • Developed a native iOS application using Swift that enables the digital tracking and scheduling of medication plans
  • User data was persisted both on the device and in the cloud using CoreData and Firebase

Recommendations for relevant Stackoverflow questions

Bachelor's thesis
  • Developed a prototype recommendation engine that uses collaborative filtering to predict relevant questions and answers for Stackoverflow users
  • Implemented using a Django webserver, a Flask REST server, both deployed on the Google App Engine

Twitch open-source libraries

Personal project
  • Implemented a modern Kotlin library that enables an easy interaction with the Twitch public API, using Ktor and Dokka with more than 10 Github stars
  • Developed a TypeScript package that provides types support for the embeddable Twitch player with approx. 300 weekly downloads

Skills

Frontend

  • iOS Native
  • Swift
  • Angular
  • TypeScript

Server-side

  • NestJS
  • .NET Core
  • Spring
  • C#
  • Java

Data analytics

  • Tensorflow
  • Python
  • Scikit-Learn
  • Apache Spark
  • SQL

Other

  • Git
  • Atlassian
  • Docker
  • Agile
  • Jenkins
  • German (C1)
  • English (C1)

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