C-01
AI / ML
Neural nets, deep learning, production ML
TensorFlow
095
PyTorch
085
Deep Learning
092
LLM Ops
088
Computer Vision
084
DT-01 / PROFILE//REV.2026-04
DANIEL TREMER
CEO & Managing Partner @ control-f GmbH. Machine learning engineer with 10+ years of data science and AI shipped at Porsche, Daimler, and Mercedes-Benz.
- Role
- CEO & Managing Partner · control-f GmbH
- Base
- Berlin, Germany
- Coords
- 52.52°N · 13.40°E
- Focus
- Applied AI · Data · Product
- Years
- 10+ in production ML
10+
Years AI/ML
07
Active projects
500k+
Cars touched
700+
Network
World data dashboardsWORLD_DATA_ANALYSIS
US
Indicators & history
(opens in new tab)World
Global patterns
(opens in new tab)Maritime
Ports & passages
(opens in new tab)Exploring public data out of curiosity. Sources, observation dates and limitations are documented in each dashboard.
//SEC_01 / PORTFOLIO
PROJECT_INDEX
09
Records in view
GRID9 / 9
ResearchLIVE
control-f
Porsche Vehicle Data Pipeline
MBUX Next-Gen Infotainment
Daimler Procurement Savings MLAutomotive Maneuver DetectionPCNA Data Stream Anomaly Detection
World Data Analysis
World data
Focus
Curiosity
Purpose
Py · Actions
Stack
Public
Access
A personal project driven by curiosity: exploring global patterns through public data, from economic indicators to maritime activity. Interactive dashboards make the observations open to explore.
(opens in new tab)StartupLIVEcontrol-f2024
Founded
Berlin
Base
CEO
Role
Applied AI
Focus
AI product studio for enterprise. CEO & Managing Partner · engineering, strategy, delivery.
(opens in new tab)StartupACTIVERoboWork
2023
Founded
Bespoke
Mode
Founder
Role
Berlin
Base
Custom AI software solutions. Tailor-made ML deployed into mid-market operations across DACH.
(opens in new tab)EnterpriseSHIPPEDPorsche Vehicle Data PipelinePySpark
Stack
Azure · AWS
Cloud
Dataiku
Tool
3
Years
PySpark pipeline for vehicle data on Porsche Data Platform (Cloudera/AWS) + Azure ML. R&D analytics and data views.
EnterpriseDEPLOYEDMBUX Next-Gen InfotainmentInfotainment
Scope
Linux · K8s
Stack
Agile
Method
1
Years
Senior Product Owner @ MBition (Mercedes-Benz Innovation Lab). Dynamic content platform + Linux kernel virtualization for containerized apps.
EnterpriseSHIPPEDDaimler Procurement Savings ML1TB+
Data
Py · K8s
Stack
Azure
Cloud
PO
Role
Project Owner on a 1TB+ procurement dataset. Classification, processing, and savings prediction. Docker/K8s microservices on Azure + Jenkins CI/CD.
ProductDELIVEREDFacial Room Guidance
FaceNet
Model
TF · Keras
Stack
Flask
API
2018
Year
Drees & Sommer: deep-learning room guidance using FaceNet over multiple camera streams. OAuth2 LinkedIn crawler + custom pathing algorithm.
ResearchPUBLISHEDAutomotive Maneuver DetectionCAN-Bus
Data
LSTM · CNN · VAE
Models
Keras
Stack
HdM · Porsche
Venue
Bachelor thesis @ Porsche AG: deep-learning maneuver classification on CAN-Bus data. LSTM, CNN, LSTM+CNN and a VAE for latent visualization.
EnterpriseSHIPPEDPCNA Data Stream Anomaly DetectionSVM · IF
Models
Py · Flask
Stack
Hadoop
Infra
2017
Year
Porsche Cars North America (Atlanta): monitoring tool for incoming data streams. SVM pre-classifier + Isolation Forest with Flask. Hadoop/Cloudera evaluation build.
PUBLIC_DASHBOARDSWORLD_DATA_ANALYSIS
Exploring public data out of curiosity. Sources, observation dates and limitations are documented in each dashboard.
SEC_02 / CURIOSITY PROJECTSBUILT OUT OF
Explore all 15 projects BUILT OUT OF
CURIOSITY.
Small experiments, open questions, and things worth building just to find out. Notes from my projects in AI, engineering, and the world around me.
Research figureAI & MLEXP_01
Hormuz Reportage Check
An AI agent compared a DIE ZEIT reportage from the Strait of Hormuz with radar satellites, optical satellite images and ship data. Of 13 statements, 8 are correct, 5 are partly correct and none is false.
4 min readRead the story
ScreenshotAI & MLEXP_02
GeneralGameBench
An open-source game-agent benchmark with actual gameplay, measured reaction times and evidence you can inspect. Explore the first results and a visual catalog of game environments.
7 min readRead the story
ScreenshotPublic dashboardsEXP_03
World Dashboard
An interactive view of global economic and market conditions, with country comparisons, historical context and visible source dates.
2 min readRead the story
//SEC_03 / CORE CAPABILITIES
COMPETENCIES
Four vectors. Numeric confidence from self-assessment against shipped production systems — not a LinkedIn endorsement list.
INDEX04 CATEGORIES
C-02
DATA / INFRA
Pipelines, warehouses, distributed compute
PySpark
085
Databricks
088
Azure ML
090
AWS
080
Kubernetes
078
C-03
ENGINEERING
Full-stack systems, APIs, TypeScript first
Python
095
TypeScript
088
Next.js / React
088
FastAPI
085
PostgreSQL
088
C-04
LEADERSHIP
Product, strategy, team building
Team Building
088
Product Strategy
086
Sales / BD
080
Technical Hiring
085
Roadmapping
084
//SEC_04 / TIMELINE
EXPERIENCE
LOG11 ENTRIES
012024 —
control-f GmbH
CEO & Managing Partner · Berlin
Building an AI product studio: cutting-edge AI, data science, and proprietary systems for enterprise clients worldwide.
AI StrategyTeam BuildingProductDelivery
022023 —
RoboWork
Founder · Berlin
Tailor-made AI solutions for organizations. Seamless integration of ML into existing systems to optimize productivity and decision-making.
Custom AIPythonMLIntegrations
032021 – 24
Porsche AG
Specialist · Data Science & AI Projects · Weissach
Vehicle data pipelines on the Porsche Data Platform (Cloudera/AWS + SAP DWC). Operationalized data views, quality-driven analytics, stakeholder alignment.
PySparkAzure MLClouderaDataikuTensorFlow
042020 – 21
MBition GmbH
Senior Product Owner · Mercedes-Benz Innovation Lab · Berlin
Led R&D on the next-generation Mercedes-Benz Infotainment System. Dynamic content platform integration and containerization for performance and scale.
MBUXLinux Kernel VirtualizationAgileJira
052019 – 20
Daimler AG
Technical Lead & Product Owner · AI & Digitalization · Stuttgart
Microservice + ML architectures across cloud and on-prem. Project Owner for a 1TB+ procurement savings prediction pipeline for Daimler's procurement org.
PythonDockerKubernetesJenkinsAzure
062019
Daimler AG
Project Coordinator · AI & Digitalization · Stuttgart
Coordinated AI-enabled software projects. NLP models for text analysis and classification; managed Azure infra for scalable hosting.
PythonKerasTensorFlowAzureDocker
072018 – 19
Tremer AI & Data Analytics
Founder · Stuttgart
Freelance ML software development. Preprocessing and cleansing of large datasets, stakeholder-facing visualizations.
ConsultingPythonMLData Viz
082018 – 19
Drees & Sommer
Freelance Software Engineer · Stuttgart
Facial-recognition room guidance system over multiple camera streams. Pathing algorithm and OAuth2-based LinkedIn crawler for embeddings.
TensorFlow (FaceNet)KerasPythonFlaskOAuth2
092017 – 18
Porsche AG
R&D · Bachelor Thesis · Weissach
Thesis: "A Deep-Learning Approach on Automotive Maneuver Detection." CAN-Bus preprocessing pipeline, classification across architectures, and VAE-based latent visualization. Earlier: live Jenkins analytics dashboard (d3.js + Flask).
LSTMsCNNsVAEKerasTensorFlow
102017
Porsche Cars NA
Information Technology · Atlanta
Anomaly detection monitoring tool (SVM pre-classifier + Isolation Forest). Python-based IT process automation. Cloudera Hadoop test-build on-prem.
PythonScikit-learnFlaskHadoopPySpark
112013 – 17
Porsche AG
Decentralized Server Infrastructure · Stuttgart
Dual-study program. Automated server installation, custom PostgreSQL databases, BI reporting, and change-management automation.
PostgreSQLPythonJavaSAP CrystalSQL
//SEC_05 / GITHUB TELEMETRY
BUILD_LOG
Syncing · @DanielTea
STATSGITHUB.COM/API/V3
—
Public Repos
—
Stars Earned
—
Followers
—
Following
// CONTRIBUTION MATRIX · 52W
52 weeksghchart.rshah.org@DanielTea
// LIVE COMMIT STREAM○ STANDBY
SOURCE · GITHUB EVENTS API · POLL ON LOAD
//SEC_06 / FIELD PRESENCE
GLOBAL_MAP
- Base
- Berlin · 52.52°N
- Projects
- EU · NA · APAC
- Travel
- DACH focused
TERRASPHERE · LIVE
//SEC_07 / PEER FEEDBACK
RECOMMENDATIONS
SAMPLE07 QUOTES
R-01 Daniel has a deep understanding of software architectures and knows how to build them from scratch. Great knowledge of cutting-edge technologies — and knows how and when to use them.
R-02 Constantly proves his great expertise in machine learning and cloud architecture. A proactive, solution-oriented colleague driven by creativity and curiosity for current trends.
R-03 A very good software developer with a broad knowledge of big data architectures. Always up to date — and great at finding creative solutions to the various obstacles along the way.
R-04 A very broad technical background combined with remarkable passion for data science. He pushed the products forward with an eye for detail and great curiosity for the latest trends.
R-05 A very inspiring personality, full of ideas and with a broad technical background. Daniel is able to deliver and prototype software products extremely quickly — he has internalized the agile mindset.
R-06 A creative mindset and a very special passion for the future of artificial intelligence. He is not only talking — he is doing things.
R-07 Extremely reliable and open-minded. Deep technical skills and practical experience in managing complex projects. Would I work with Daniel again? Yes, of course.
//SEC_08 / PRESS SIGNAL
IN THE NEWS
Third-party signal — talks, guest articles, panels. Every entry links a real, currently-reachable source, quoted straight and never paraphrased.
COVERAGE02 ENTRIES
