
IT security, web development and hardware
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
master-of-science
March 13, 2021 – March 13, 2021
Identification and Analysis of unsafe.Pointer Usage Patterns in Open-Source Go Code
View Projectunsafe_go_study_results
July 23, 2020 – February 23, 2023
Data set and replication scripts for our paper "Uncovering the Hidden Dangers: Finding Unsafe Go Code in the Wild" [@jlauinger @gh0st42 @akwick @miramezini]
View Projectgo-geiger
July 22, 2020 – September 11, 2020
Static code analysis tool to find unsafe usages in Go packages and their dependencies
View Projectgo-safer
May 25, 2020 – November 28, 2022
Go Vet-style linter to find incorrect uses of reflect.SliceHeader and reflect.StringHeader, and unsafe casts between structs with architecture-sized fields
View Projectgo-unsafepointer-poc
May 10, 2020 – October 26, 2020
Golang example code showing dangers with unsafe.Pointer usages
View Projectbachelor-of-science
September 20, 2017 – February 16, 2018
Collide, Collate, Collect: Recognizing Senders in Wireless Collisions
View Projectbonfire-chat-android
August 2, 2015 – November 9, 2016
Peer-to-peer Bluetooth and WiFi mesh-network chat client
View Projectschildergenerator
July 18, 2015 – February 12, 2019
Schildergenerator (Sign generator for event organizers)
View Projectzz
March 18, 2015 – March 30, 2015
simple directory jumper based on bookmarks created with zzify
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and research-focused, with a strong emphasis on Go language internals and static analysis. While this demonstrates deep technical interest, the projects do not directly align with a typical 'Data Scientist' role, which usually involves machine learning, statistical modeling, and data visualization. The lack of diverse project types or team-based work makes it difficult to assess cultural fit for a collaborative data science environment. The candidate's experience level is listed as 0, which contradicts the depth of their academic projects (Bachelor's and Master's theses).
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions suggest an independent, research-oriented approach, but team collaboration or communication styles cannot be determined.