Simon Huang
Engineering at Forgent
Munich, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolSimon Huang is an engineering professional based in Munich with eight years of hands-on experience building full-stack and backend systems for startups and enterprise teams. He has driven feature development and infrastructure work across React/NextJS frontends, NestJS backends, GraphQL/Hasura integrations, and AWS/Terraform deployments, and contributed backend-focused improvements to the open-source Artemis learning platform. As an early hire at a SaaS incident-escalation startup and a key implementer for recruiting platform everbay.de, he balances product-minded engineering with pragmatic delivery. His time at Siemens included implementing CI/CD pipelines and internal tooling that reduced operational friction, while tutoring at TUM highlights his ability to explain complex concepts clearly. Currently at Forgent and holding a Master’s in Informatics from TUM, he combines academic rigor with startup agility. Colleagues would note his knack for refining feedback flows and notification logic—small details that noticeably improve user experience.
8 years of coding experience
5 years of employment as a software developer
Master's, Informatics, Master's, Informatics at Technical University of Munich
Github Skills (18)
api-rest10
programming-language10
api-design10
restful-api10
feed10
java10
automatic10
javas10
automation10
spring-boot10
rest-api10
ack10
automations10
databases9
edtech9
Programming languages (13)
Github contributions (5)
ls1intum/Artemis
Oct 2022 - Jan 2023
Artemis - Interactive Learning with Automated Feedback
Role in this project:
Back-end Developer
Back-end DeveloperContributions:613 reviews, 130 commits, 49 PRs in 3 months
Contributions summary:Simon primarily contributed to the back-end logic of the Artemis platform, specifically focusing on the programming exercises module. Their work included adding functionality for manual feedback requests, modifying notification services, and addressing issues with the display of exercise actions. Furthermore, the user was involved in fixing inconsistencies and improving the feedback view within the system. This suggests a focus on refining the core features related to educational assessments.
automatic-feedbackexam-modeartemisapolloninteractive-learning
tum-ai/website
Jul 2023 - Apr 2025
Main website for TUM.ai
Contributions:44 reviews, 61 PRs, 94 pushes in 1 year 9 months
cvanextjsreacttailwindcss
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