Tobias Schiele

AI Research & Engineering · Computer Vision · Multimodal Systems · Strategy · PhD (submitted)

Scopes, proves, builds, deploys and leads artificial intelligence (AI) & machine learning (ML) projects, bridging research, engineering, product and business. Technically fluent across anything compute & cognition and unusually aligned with multimodal AI, computer vision, representation learning, frontier AI systems, search & retrieval, research-to-production work, and mentoring and coaching working professionals. PhD-level, first-author, peer-reviewed publications in International Journal of Knowledge-Based and Intelligent Engineering Systems, distributed training and deployment experience, and both research and startup leadership. Communicating accross engineering teams, researchers, customers, and executives alike. ~10 years in deep learning.

Startup co-founder and exit at siaris.de

First-author, peer-reviewed published scientist ResearchGate

Founder, technical consultant and engineer APE Innovation

AI Scientist & Engineer Multimodal Systems Python & PyTorch 9+ yrs Commercial Enterprise AI Builder PhD (submitted) Founder

Skills

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AI Research Scientist

Computer Vision CNNs, Vision Transformers, object/anomaly detection, segmentation, identification, industrial inspection, multimodal pipelines

Deep Learning ~10 years. PyTorch, transformers, representation learning, attention mechanisms, transfer learning

Multimodal AI Vision-language models, multimodal learning, cross-modal representations, embeddings

Research Experimental design, reproducible pipelines, benchmarking, evaluation frameworks, ablations, hyperparmeter optimization

Publications Double-blind peer-reviewed first-authored publications (2 journal), PhD (submitted)

AI Engineering & Product

Programming ~10 years. PyTorch, TensorFlow, scikit-learn, pandas, statsmodels, django, Python, C/C++, C#, JS/TypeScript,

Enterprise AI Context engineering, search & retrieval systems, agentic tool-use, user experience, benchmarking and evaluation

ML Infrastructure DGX cluster, distributed training, DevOps, CI/CD, REST/gRPC APIs, MCP

Data & Evaluation Vector databases, embedding learning, metric interpretation, model optimization, quantization, distillation, pruning

MLOps Containerization, Docker/Kubernetes, AWS, model deployment, monitoring, reproducibility

Strategy & Leadership

Product Direction Roadmaps, scoping, technical specifications, architecture, and go-to-market strategy

Team Leadership Led a team of 8 across product, sales&marketing, and deployment at siaris.

Stakeholder Communication Translating solutions for customers, boards, executives, cross-functional teams, and partnership development

Technology Transfer Bridging academic research and industrial practice, technical implementation consultation and realization, mentoring as lecturer

Funding Co-authored proposals contributing to multiple millions secured for both industrial and academic funding

Experience

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Co-Managing Director & Technical Lead

2025

siaris GmbH — Joint Venture with APE Innovation

Frontier Enterprise SystemsProductLeadershipStrategyAI Engineering

Led product vision, strategy, and technical direction for ai.go, an LLM-powered agent platform targeted at enterprises.
Co-Managing Director with a team of 8 spanning sales, marketing, product, including evaluation and deployment.
Drove product roadmap, technical specs, and go-to-market strategy with hands-on engineering work.
Accepted into the NVIDIA Inception program for startups.
Infrastructure and deployment realization with data center partners.
Exit after seeding; siaris continues expanding into insurance enterprises.
Co-authored proposals that secured fundign for siaris.

Co-Founder & Technical Consultant

2022 – Present

APE Innovation GmbH — Applied AI, Technology Transfer

ConsultingAI StrategyFundingTechnology TransferAI Engineering

Built a technology transfer and AI consulting company.
Scoped and delivered custom AI solutions for SME clients, from initial stakeholder conversations through to working product.
Consulted on proposals that secured funding for customers.
Served as technical lead and strategic advisor on AI & ML implementation.
Managed university collaborations and supervised joint research projects.

AI Research Scientist

2020 – 2025

Aalen University — AI Factory SME & Material Science Institute

Computer VisionDeep LearningPublicationsGrantsApplied ScienceSupervising

Applied research in deep learning and computer vision with industry partners.
Built multimodal AI prototypes for manufacturing and materials contexts.
Double-blind peer-reviewed publications (2 journal) in computer vision and deep learning.
Co-authored grant proposals contributing to multiple millions in secured funding.
Trained CNNs and transformers on an distributed DGX cluster at the Material Science Institute.
Supervised student researchers and thesis projects.
Presented at exhibitions and conferences.

'Advanced Data Scientist' Lecturer

2022 – 2026

Graduate Campus

TeachingMentoringAI EducationKnowledge Transfer

Teaching and mentoring working professionals for the certification of 'Advanced Data Scientist'.

Technology Transfer Specialist

2020 – 2022

Matworks GmbH — Materials Engineering Solutions

Computer VisionIndustrial MLKnowledge TransferAutomationAI Engineering

Transferred academic computer vision and multimodal research into operational workflows for materials engineering.
Trained and created ML solutions for optical inspection on multi-gigabyte images for scanning acoustic microscopy (SAM), x-ray microscopy (XRM), scanning electron microscopy (SEM), optical microscopy and macroscopy for Particle Analysis, anomaly detection, defect detection in Wafer, solder void detetion and non-destructive testing in PCB's
Real-world, industrial-scale computer vision in manufacturing contexts.

Software Engineer

2016 – 2017

GEO DATA GmbH

Software EngineeringEnterprise Software

6 months inter-study work with focus on enterprise software development and deployment.

Education

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PhD — Deep Learning & AI Technology Transfer

2021 – Present (part-time, submitted Dec 2025)

Glasgow Caledonian University

Transferring deep learning technology to industry. Computer vision, representation learning, multimodal approaches. Trained models on an DGX cluster.

MSc — Machine Learning & Data Analytics

2018 – 2020

Aalen University / University of the Western Cape

Advanced computer vision, NLP, and machine learning for big data. Master thesis: insight platform for big data archives. Built a distributed training compute cluster from scratch out of the university computer pool. Best in Class.

BSc — Software Engineering

2015 – 2018

Aalen University

Machine learning based chess engine and novel clustering algorithms during the bachelor thesis. Best in Class.

Contact

Open for cross-sectional research, engineering, and ownership/leadership in AI.

Machine Learning, Deep Learning, Artificial Intelligence, Computer Vision, Natural Language Processing, NLP, Multimodal Models, Multimodal AI, Vision Language Models, VLMs, Large Language Models, LLMs, Generative AI, Transformers, Attention Mechanisms, Representation Learning, Transfer Learning, Finetuning, Fine-tuning, Pre-training, Post-training, Model Training, Model Evaluation, Model Deployment, Model Optimization, Pruning, Distillation, Knowledge Distillation, Quantization, Embeddings, Vector Databases, RAG, Retrieval-Augmented Generation, Multi-Agent Systems, Agentic AI, Tool-Use, Function Calling, PyTorch, TensorFlow, Jax, scikit-learn, pandas, Hugging Face, Python, C, REST APIs, gRPC, GPU Computing, DGX, CUDA, MPS, Distributed Training, Large-Scale ML Systems, HPC, Accelerators, NPUs, CPUs, GPUs, Data Pipelines, Data Mining, Data Analysis, Predictive Analytics, Statistics, Statistical Modeling, Algorithms, Optimization, Benchmarking, Experimental Design, Reproducibility, A/B Testing, MLOps, DevOps, Docker, Kubernetes, CI/CD, Containerization, Microservices, Cloud Computing, Publications, Peer-Reviewed Research, Applied Sciences, Senior Researcher, Applied Scientist Researcher, Scientist, Research Scientist, Applied Scientist, Senior ML Engineer, Senior Computer Vision Engineer, Senior ML Researcher, Senior AI Strategist, Diffusion Models, Image Generation, Video Generation, Scalability, Performance Optimization, Inference, Responsible AI, AI Safety, AI Ethics, Technology Transfer, Product Development, Stakeholder Management, Human-Computer Interaction, Multimodal Agents, Neural Networks, CNNs, RNNs, GANs, Variational Autoencoders, Feature Engineering, Hyperparameter Optimization, Cross-Validation, Evaluation Frameworks, Computer Science, Software Engineering, Data Science, Research Engineering, Applied Research, Object Detection, Image Segmentation, Image Classification, Video Analytics, Multi-Object Tracking, mAP, F1, IoU, ROC-PR, Calibration, Robustness Testing, Manufacturing, Industrial AI, Quality Inspection, Defect Detection, ONNX, TensorRT, Edge Deployment, Real-Time Inference, CLIP, LoRA, Foundation Models