Mechatronik-Ingenieur und Softwareentwickler

Ich bin ein Mechatronik-Ingenieur und Softwareentwickler mit umfassender Erfahrung in verschiedenen technischen und managementbezogenen Rollen.

• C#
• C (Programmiersprache)
• Embedded Software
• Flutter
• HTML
• Jira2 J.
• Projektmanagement
• Python
• Softwareanforderungsanalyse

Ein Mechatronik-Ingenieur und Softwareentwickler mit Expertise in Maschinenlernen, Projektmanagement und Full Stack Entwicklung. Erfahrung im Aufbau von KI-gesteuerten Anwendungen, Optimierung von Ingenieursprozessen und Leitung von unternehmerischen Projekten. Fähigkeiten in der Simulation komplexer Systeme, Entwicklung automatisierter Tools und Management von cross-funktionalen Teams in agilen Umgebungen.

Full Stack Development
Proficient in full stack development using Python for backend (Flask framework for handling webhooks, API integration, and event processing) and frontend technologies like Flutter, HTML, and JavaScript
Developed complete AI chatbot applications integrating GPT/LLaMA models with WhatsApp web, including backend logic for message processing and frontend response handling
Built travel planning app with end-to-end stack: Flutter for cross-platform frontend, Python/Flask for backend, and Figma for UI/UX design
Experience in version control and collaboration using Git/GitLab for full stack projects
Integrated AI models (e.g., LLaMA 7B with PyTorch and Transformers) into full stack applications running locally or via APIs

Backend Development
Expertise in Python-based backend development, including Flask for webhook events, message processing, and AI-generated responses
Tuned and fine-tuned large language models like LLaMA 7B using PyTorch, Transformers, and JSONL datasets for backend AI services
Developed server-side logic for control units in rail diesel engines, including software requirements definition and automatic test cases in Python and C/C++
Handled data interchange, communication protocols (OSI, TCP/IP layers), and network simulations for backend systems using MATLAB/Simulink
Optimized backend processes for power calculations, digital twin models, and automation in hybrid systems (fuel cell, battery, supercapacitor)

App Development
Developed cross-platform mobile/web apps using Flutter for Android/iOS, integrated with AI backends (e.g., travel planning app with monetization strategies)
Created AI chatbots deployed via GPT APIs and upgraded to local LLaMA models, integrated with WhatsApp Business using webhooks
Built toolchains for app-robot communication using Python, MATLAB, and Raspberry Pi, including trajectory planning and kinematic solutions
Experience in app hardware integration, such as sensors (gyroscope, Hall sensor) and microcontrollers for control systems in satellite orientation apps
Managed app development in agile frameworks using Jira, including requirements gathering, testing, and documentation

Frontend Development
Designed and developed user interfaces using Flutter, HTML, JavaScript, and Figma for prototyping and UI/UX (e.g., travel planning app and chatbot interfaces)
Created dynamic frontend elements for webhook-based interactions, processing incoming messages and displaying AI responses in WhatsApp-integrated apps
Focused on user-centered design in entrepreneurial projects, including branding, marketing strategies, and pitching for VCs
Developed MATLAB apps for frontend visualization of power calculations, fuel cell/battery dimensions, and simulation results
Applied design thinking principles to enhance frontend usability in product prototypes and educational chatbots

Product Development
Led product vision and development in entrepreneurial settings, including securing funding, business planning, and monetization for AI-driven apps (e.g., travel marketplace)
Applied design thinking, leadership, and project management skills to coordinate cross-functional teams in agile environments using Jira and Scrum
Managed product lifecycle from ideation to deployment, including requirements tailoring for customers, test case creation, and iterative development
Conducted market research, feasibility analysis, and regulatory evaluations for products like AI ticket automation platforms and apprenticeship chatbots
Optimized products for scalability, such as benchmarking ML models for solar irradiance forecasting and integrating with databases for engineering tools

Machine Learning & AI
Implemented and optimized ML models (LSTM, Random Forest, Lasso Regression) using PyTorch, Scikit-Learn, and Transformers for forecasting and data analysis
Performed data cleaning, feature engineering, and benchmarking for ML projects, achieving high accuracy in solar irradiance prediction
Fine-tuned AI models