Kalebe Szlachta - Cybersecurity, Data Science & Software Engineer

About

I am an experienced Software Engineer with 5 years of international tenure across Brazil, Germany, and France. Currently pursuing a Master's degree in Cybersecurity, my focus lies in applying advanced machine learning techniques, such as Domain Adaptation Networks (DANs), to enhance Network Intrusion Detection Systems and overall Secure Software Development.

My career path includes building robust automation tools (Python, C++) and developing predictive ML models. I am actively seeking roles that leverage my combined expertise in Blue Team Operations, Data Science, and Robust Software Engineering.

Professional Experience

Consultant Software Engineer & Data Scientist

March 2023 – Currently

Bosch (Technology and Strategy) | Stuttgart, Germany

Developed dashboard tools and KPI analysis using Splunk, Python, shell scripting, HTML, and SQL for multiple Bosch projects, significantly improving data visualization and decision-making speed.
Automated software testing and integration using Python, Unittest, Kiso testing and Bosch internal tools for the Bosch eBike secure communication.
Engineered software and automation tools for the Volkswagen test team (VW, Porsche, Audi) using Python and C++, optimizing vehicle software testing and enhancing analysis time.
Performed software development and AI research for fast and autonomous documentation for Vehicle and engineering project related tasks for diverse projects and companies using Python, C++.
Performed software and vehicle testing and debugging of complex vehicle functions, including park assist systems, also assisted by an autonomous robot ran and maintained by me and Bosch colleagues for precise testing and validation.

Data Scientist and Analyst

March 2022 – February 2023

Renault | Curitiba, Brazil

Developed and deployed a Machine Learning model in Python/Tensorflow to predict outcomes in the manufacturing sector, which reduced analysis time for the production management team.
Designed and maintained KPI dashboards to track quality control metrics using Splunk, SQL, and Data Analysis techniques.

Software Engineer Intern

March 2021 – February 2022

Siemens | Curitiba, Brazil

Contributed to the development of the SCADA energy manager system, focusing on secure coding standards in Python, C#, and Java.
Participated in network security management and database updates for industrial systems.
Executed and documented software tests using JUnit and Unittest.

Expertise

Cybersecurity Focus

Intrusion Detection (ML)
Network Threat Detection (NIDS)
Secure Coding (Python, C#, Java)
Threat Analysis & Mitigation

Data Science & ML

Python (Tensorflow, Data Analysis)
Machine Learning Model Development
Splunk & Data Visualization
Statistics & High-dimensional Data

Software Engineering

Python, C++, C#, Java
CI/CD Automation & Testing (JUnit, Unittest)
Cloud Platforms (GCP, AWS)
GIT/GitHub

Work Highlights & Research

Master's Research: ML-based Intrusion Detection (DANs)

Cybersecurity | ML | NIDS

Advanced research utilizing Domain Adaptation Networks (DANs), a modified GAN technique, for cross-checking multiple network datasets. Focus on applying Adversarial Domain Adaptation for Network Intrusion Detection Deep Learning Models with minimal data. Repository will be provided as soon as the research reaches a good stage. (Work based on the paper: "Preparing Network Intrusion Detection Deep Learning Models with Minimal Data Using Adversarial Domain Adaptation")

Embedded & IoT Prototyping

Hardware | Personal | Security

Hands-on projects with Arduino and Raspberry Pi controllers, demonstrating skills in hardware-software integration, essential for exploring low-level computer environments, networking, and Security Threats (GPU/CPU architecture focus).

Let's Connect

I am available for opportunities in the Cybersecurity, Data Science, and Software Engineering fields.

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