About
Full-Stack Software-Engineer, AI Solutions Engineer (Working Student) & Master Student
- Website: steiner-julian.github.io
- City: Frankfurt am Main, Hessen
- Age: 26
- E-Mail: steiner.julian@posteo.de
Skills
Dank meiner Ausbildung und Berufserfahrung als Software-Entwickler habe ich Erfahrung mit verschiedenen Programmiersprachen gesammelt. In meinem Studium habe ich mein Skillset zusätzlich erweitern können. Hier werden nur die wichtigsten von mir ausgewählten Fähigkeiten dargestellt.
Resume
Summary
Julian Steiner
Ich bin Julian Steiner, ein engagierter Full-Stack Software-Engineer mit einem Bachelor of Science in Künstlicher Intelligenz von der Technischen Hochschule Deggendorf. Derzeit setze ich mein Studium mit einem Master in Informatik an der Technischen Universität Darmstadt fort. Parallel dazu arbeite ich als AI Solutions Engineer (Werkstudent) bei Aleph Alpha in Heidelberg.
- steiner.julian@posteo.de
- steinerj.7498@gmail.com
Education
Master of Science (M. Sc.) - Informatik
2024 - 2026
Techniche Universität Darmstadt
Bachelor of Science (B. Sc.) - Künstliche Intelligenz
2020 - 2024
Technische Hochschule Deggendorf
Abschlussarbeit: Defect Detection in Wiring Harness Production: A Deep Learning Approach (Note: 1,0)
Abschlussnote: 1,3 (sehr gut)
Fachinformatiker Anwendungsentwicklung
2014 - 2017
IHK Regensburg
IHK Abschlussprüfung Ausbildung Fachinformatiker Anwendungsentwicklung.
Gesamtergebnis gut (84 Punkte).
Fachinformatiker Anwendungsentwicklung
2014 - 2017
Staatliche Berufsschule Wiesau
Abschluss Fachklasse Fachinformatiker Anwendungsentwicklung Staatliches Berufliches Schulzentrum Wiesau.
Durchschnittsnote 1,75.
Professional Experience
Werkstudent / AI Solutions Engineer
2024 - Present
Aleph Alpha, Heidelberg (Baden-Württemberg)
- Prompt and finetune large language models
- Facilitating customer evaluations and PoC
- Communicate innovative solutions to our customers and external partners
- Understand customer requirements and translate them into project objectives
- Stay on top of the latest AI developments to shape the vision of Aleph Alpha at the intersection of market needs and innovation
- Work directly with clients to understand their business goals and technical requirements
- Draft and deliver presentations on targeted products, demonstrating features and functionality
- Design, deploy, adapt, implement, configure, customize and test solutions for clients, fixing any regressions or challenges that may arise
- Provide ongoing technical expertise or guidance and troubleshooting throughout a project's lifecycle to clients and stakeholders
- Act as a link between technology and clients, translating complex technical concepts into easily understandable terms for non-technical stakeholders
- Analyze situations, identify problems, and devise efficient solutions, often in time-critical scenarios
- Work closely and trustfully with various departments, including sales, engineering, support, operations, IT, business groups, and end users and key users to ensure project success
Dualer Student / Werkstudent
2020 - 2024
Nexans autoelectric GmbH, Floss (Bayern)
- Duales Studium der künstlichen Intelligenz an der Technischen Hochschule Deggendorf. In den Semesterferien, das Praktikum und die Bachelorarbeit in der Firma Nexans autoelectric GmbH. Mit dem KI-Studium an der THD erwirbt man Datenkompetenz, Analysekompetenz und Technologiekompetenz.
- Verbesserung bereits bestehender Anwendungen und Anpassung an neue Anforderungen.
- Beleuchtung potentieller Anwendungsgebiete von Künstlicher Intelligenz der Nexans autoelectric GmbH.
- Vergleich von Verfahren und Frameworks zur Umsetzung KI-gestützter Prozesse
- Ausarbeitung eines KI-Konzepts für die Nexans autoelectric GmbH
Software Developer
2017 - 2020
Nexans autoelectric GmbH, Floss (Bayern)
- Entwicklung von Desktopanwendungen in C# .NET mit WPF-Framework (Front-End & Back-End)
- Erstellung von Web-Applications und Web-Services (C# ASP .NET, HTML5, CSS, Javascript)
- Planung und Erstellung der Datenbanken zu den jeweiligen Anwendungen
- Support der entwickelten Anwendungen
- Lead-Developer im Rahmen des KSK-Projektes
Fachinformatiker Anwendungsentwicklung
2014 - 2017
WITRON Logistik + Informatik GmbH, Parkstein (Bayern)
- Kenntnisse in der Anwendung und Programmierung unter Betriebssystem Microsoft Windows
- Umfassende Kenntnisse in den Programmiersprachen Visual C++, Visual Basic, Visual C# .NET und deren Anwendung im Rahmen der Softwareentwicklung
- Grundkenntnisse in Logistiksysteme
- Fundierte Kenntnisse bezüglich der Anwendung von Oracle-Datenbanken, der Sprache SQL und dem Erstellen von Stored Procedures für diese Datenbanken im Rahmen von Softwareprojekten
Tech Stack
Hier liste ich die wichtigsten Technologien, Programmiersprachen, Frameworks, etc. auf, mit denen ich bereits gearbeitet und Erfahrung gesammelt habe.
C is a general-purpose computer programming language.
C++ is a high-level, general-purpose programming language.
C# is a modern, object-oriented, and type-safe programming language.
NET is a developer platform with tools and libraries for building any type of app, including web, mobile, desktop, games, IoT, cloud, and microservices.
Java is a high-level, class-based, object-oriented programming language that is designed to have as few implementation dependencies as possible.
R is a programming language for statistical computing and graphics supported by the R Core Team and the R Foundation for Statistical Computing.
The HyperText Markup Language or HTML is the standard markup language for documents designed to be displayed in a web browser. It defines the meaning and structure of web content.
Cascading Style Sheets is a style sheet language used for describing the presentation of a document written in a markup language such as HTML or XML.
JavaScript, often abbreviated as JS, is a programming language that is one of the core technologies of the World Wide Web, alongside HTML and CSS.
PyTorch is a machine learning framework based on the Torch library, used for applications such as computer vision and natural language processing.
An end-to-end open source machine learning platform for everyone.
scikit-learn is a free software machine learning library for the Python programming language.
MySQL is an open-source relational database management system.
PostgreSQL, also known as Postgres, is a free and open-source relational database management system emphasizing extensibility and SQL compliance.
Oracle Database is a proprietary multi-model database management system produced and marketed by Oracle Corporation. It is a database commonly used for running online transaction processing, data warehousing and mixed database workloads.
Git is a distributed version control system that tracks changes in any set of computer files, usually used for coordinating work among programmers collaboratively developing source code during software development. Its goals include speed, data integrity, and support for distributed, non-linear workflows.
GitHub, Inc. is a platform and cloud-based service for software development and version control using Git, allowing developers to store and manage their code.
Accelerated, Containerized Application Development
Project Jupyter is a project to develop open-source software, open standards, and services for interactive computing across multiple programming languages.
Linux is a family of open-source Unix-like operating systems based on the Linux kernel, an operating system kernel.
Fedora Linux is a Linux distribution developed by the Fedora Project. It was originally developed as a continuation of the Red Hat Linux project. It contains software distributed under various free and open-source licenses and aims to be on the leading edge of open-source technologies.
Ubuntu is a Linux distribution based on Debian and composed mostly of free and open-source software. Ubuntu is officially released in three editions: Desktop, Server, and Core for Internet of things devices and robots.
Microsoft Windows is a group of several proprietary graphical operating system families developed and marketed by Microsoft. Each family caters to a certain sector of the computing industry. For example, Windows NT for consumers, Windows Server for servers, and Windows IoT for embedded systems.
certificates
Machine Learning von A-Z: Lerne Python & R für Data Science
Udemy
Dieser Kurs enthält über 300 Lektionen, Quizze, Praxisbeispiele, ... - der einfachste Weg, wenn du Machine Learning lernen möchtest.
Deep Learning, Neuronale Netze & AI: Der Komplettkurs
Udemy
Dieser Kurs macht dich fit auf deinem Weg zum Deep Learning- und AI-Spezialisten. Alle Themen werden anschaulich und am Beispiel erklärt - dadurch ist dieser Lehrgang besonders leicht verständlich. Zudem beherrscht du nach Abschluss des Kurses problemlos Tools wie Jupyter, Keras, Tensorflow 2 umgehen - das ist wichtig, wenn du das Wissen später auf eigene Projekte anwenden möchtest.