Hey there! I'm Mike Trzaska (HokageM), a passionate learner and explorer in the world of technology. I earned my Bachelor of Science degree at the Technical University of Hamburg Harburg in Computer Science and Electrical Engineering. Currently, I am pursuing my Master's degree in Bioinformatics at the University of Hamburg.
Since October 2020, I have been working as a Working Student (Software Engineer) at Eppendorf Liquid Handling GmbH. In parallel, since April 2025, I have also been working on the topic "Protocol Parsing: A Comparison of Parameterization Techniques for Laboratory Protocols with LLMs" for my Master's thesis at Eppendorf SE. During my time at Eppendorf, I had the opportunity to contribute to various projects, including firmware development (C++), tool development (Python), and AI development (Python).
I deeply enjoy working on diverse projects that challenge me and help me grow as a developer.
Jump to Tech Stack
Implementation of Inverse Reinforcement Learning algorithms with Python solving the Mountaincar-v0 experiment.
Tech: #Python
#PyTorch
#NumPy
Topics: #InverseReinforcementLearning
#ReinforcementLearning
#AI
#DeepLearning
#Research
Repository: IRLwPython
Demo-Project: End-to-end lung cancer risk prediction system with secure doctor authentication, encrypted patient data, and decision-tree predictions.
Tech: #React
#TypeScript
#PostgreSQL
#Docker
#FastAPI
#Python
#Pandas
#NumPy
#Scikit-learn
#Imbalanced-learn
#SQLAlchemy
Topics: #Healthcare
#MachineLearning
#RandomForest
#WebApp
#Client-Server
#Database
#Security
#Cryptography
Repository: MECHA-LUNG
HeartPredict is a Python library designed to analyze and predict heart failure outcomes using patient data.
Tech: #Python
#Scikit-learn
#Pandas
#NumPy
Topics: #Healthcare
#Classification
#Kaplan-Meier-Plot
#Regression
#RandomForest
Repository: HeartPredict
Simulation of a bee colony, where the bees try to discover all food sources in the simulated world. The Bee Colony Optimization algorithm is used as core algorithm.
Tech: #Python
Topics: #Simulation
#BeeColonyOptimization
#SwarmAlgorithm
Repository: NinjaBees
This is my individual project for the module Research Software Engineering in SS24. The task was to analyze a dataset from genesis.destatis using Python and to find interesting aspects and potential questions that could be explored using this data.
Tech: #Python
#Pandas
#NumPy
#Scikit-learn
Topics: #Regression
#CrossValidation
#DataAnalysis
#Research
Repository: DamagedLoggingAnalyzer
CoAler (Core Aligner), a tool capable of efficiently calculating multi-alignments for dozens of molecules from scratch within minutes on a standard desktop computer.
Tech: #C++
#Conan
#RDKit
#OpenMP
#Catch2
Topics: #CoreAlignment
#MoleculeAlignment
#Cheminformatics
Repository: CoAler
OntoGraph is a C++ tool that converts RDF/XML ontologies into graph structures, enabling traversal and search using standard graph algorithms. It is designed for researchers and developers working with ontologies who need to analyze, traverse, or manipulate ontology data as graphs. Note: CLI is under construction
Tech: #C++
#Conan
#TinyXML2
Topics: #Graphs
#DFS
#Ontology
#RDFParser
Repository: OntoGraph
L.O.F.I is a lofi-themed educational and productivity app that helps you stay focused. Features: Pomodoro Timer, Statistics, Themes, Achievements and To-Do List.
Tech: #Flutter
#Dart
Topics: #Productivity
#PomodoroTimer
#MobileApp
#UI/UX
Repository: L.O.F.I
PlayStore: L.O.F.I - Stay Focused!
The ByakuganVisualizer is a Python tool for image comparison and highlighting differences, facilitating tasks such as testing and quality assurance, with an added color filter feature for correcting images for color-blind users.
Tech: #Python
#NumPy
#Pillow
Topics: #Protanomaly
#Deuteranomaly
#ImageProcessing
#CLI
Repository: ByakuganVisualizer
This tool is created to convert MP4 videos into ASCII animations.
Tech: #Python
#OpenCV
#Pillow
Topics: #ASCIIArt
#ImageProcessing
#CLI
Repository: Video2ASCII
- HokageBeats6
- Since, I am always learning and coding with background music, I decided to try generating my own beats so I can listen to them while coding.
- Channel: HokageBeats6
I'm always open to collaboration, feedback, or just a friendly chat! Feel free to reach out to me via email or connect with me on LinkedIn.