STAbout Shubham
Driven by a passion to bridge technology and real-world impact, I bring 4+ years of experience in designing AI models, intelligent systems, and data-driven applications. From predictive maintenance to visual recognition technologies, I engineer scalable, high performance solutions for complex industry challenges.
My journey taught me that even the best innovations need powerful positioning to truly succeed. Motivated by this insight, I pursued web and software development to deliver better user interfaces and mastered digital marketing to craft stronger narratives around products and solutions.
Today, I work across the full innovation cycle — from data science and AI/ML modeling to intelligent design, digital marketing strategy, and prompt engineering — helping businesses not only build but communicate smarter solutions.
English
Native or bilingual
German
Conversational
Can work on-site
Dresden (up to 50km)
Experience
- Smart Systems Hub GmbH,Data Scientist and AI ConsultantMarch 2022 - Today (4 years and 3 months)Dresden, Germany• Data Analysis & Visualization: Analysed and visualized sensor data from AGVs and Cube Stocker equipment using Python, PostgreSQL, Plotly Dash, and AWS, creating interactive dashboards.• Predictive Maintenance Using AI: Developed an Autoencoder-based anomaly detection model to classify OHT vehicle health using sound data, collaborating with hardware and IT teams for real-time deployment.• Computer Vision & Object Detection: Designed and implemented a YOLO-based defect detection system for wooden pallets in dairy production using OpenCV, Flask, and PostgreSQL to prevent conveyor belt accidents.• Data Space & API Integration: Currently working on Factory-X Data Space, deploying Tractus X EDC connectors to enable secure inter-company data exchange using Java, Kubernetes, and API management tools.
- Smart Systems Hub GmbH,Internship – AI DeveloperMay 2021 - July 2021 (3 months)Dresden, Germany• Developed an AI solution for human-robot collaboration using Time-of-Flight (ToF) and Radar data, following a structured AI development process.• Created a custom dataset by capturing, labelling, masking, and augmenting images for object detection.• Trained and deployed an object detection model, integrating it into a live software environment.
- Guardian Technologies GmbH,Working Student – Embedded System EngineerDecember 2020 - January 2021 (2 months)Lindau, Germany• Captured and processed indoor fire images using a Raspberry Pi camera for fire detection.• Implemented fire detection algorithms using Background Subtraction and Clustering techniques.
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Education
- International Graduate Master ProgramUniversity of Siegen2022International Graduate Master Program
- Bachelor's degreeGujarat Technological University2017Bachelor's degree