Deutschland: D8 Kommentar: bei Bedarf vor Ort (auch Ausland in Europa, USA, AUS, NZ) D4 Arbeitserlaubnis: keine Arbeitserlaubnis Weitere Länder: Bin seit 20 Jahren regelmäßig in den USA - hauptsächlich San Francisco Bay Area - unterwegs.
Defining the complete architecture for a real-time video analysis infrastructure as part of a Gigafactory-project. Implementing the PoCs, building up the dev team and handover dev tasks. Working with all stakeholders to analyze the topic and building up the Jira epics, tasks for the dev team. Leading the team. Refining all topics during the project. Preparing and leading the deployment phases. E2E-Testing. Analyzing current machine learning topics like visual transformers, LLMs, OpenCV-based options for potential usage.
Building up the initial international dev team
Developing a PoC to automatically analyze content to provide on-the-spot summaries. Exploring various vector databases, tools like LangChain, Llamaindex, Ragas, Llama.cpp and many more.
Working on various content types to be used for local embeddings. Benchmarking the results. Developong ideas of how to go forward with LLMs in general for other use cases.
Defining and implementing the end-to-end real-time video and data streaming architecture and backend infrastructure for an autonomous robot product. Integrating the initial solution into the existing HomeConnect cloud system. Several PoCs for different levels of real-time video and data channel use cases. Implementing the complete WebRTC-based backend and client infrastructure.
Implementing a browser based WebRTC (Typescript) client for testing. Implementing an edge device WebRTC client (Golang/gstreamer). Implementing a real-time remote control data channel system and command&control infrastructure.
Defining metrics and KPIs. Defining and implementing sequence diagrams for the communication between all participants.
Defining and implementing metrics and KPIs for Monitoring covering all components.
Defining and implementing tools for video quality analysis. Defining machine learning specific requirements.
Leading the dev team in India
Developing and implementing the end-to-end real-time video and data streaming architecture and infrastructure for an autonomous robot. Integrating the initial solution into the HomeConnect cloud system. Several PoCs for different levels of real-time video and data channel use cases. Implementing the complete WebRTC-based backend and client infrastructure. Implementing a browser based WebRTC client for testing. Implementing an edge device WebRTC client. Implementing a real-time remote control data channel system.
MQTT/Kafka, Docker, Quarkus, Prometheus, Grafana, PostgreSQL, WebRTC, Nvidia CUDA, Tensorflow, Angular 12+ UI, Ionic mobile apps, Test Tools, Jira, Confluence, RPi, Jetson Nano, Qualcomm CPUs, Pion, Livekit, embedded hardware, Sensors&Actuators, ROS2, AWS DeepRacer, Go/Golang, Typescript, Shell Scripts
Acting as the Senior System Architect spanning multiple teams with the goal to introduce new technologies and to increase productivity and scalability.
Working on MVC proposals and PoC implementations for system wide monitoring, alerting and implementing various PoC stages for complex SmartMeter Gateway (SmGW) use cases. Technical counterpart for several developer teams to work on system analysis, defining next steps and system migration into more modern technologies. Analyzing the flow of incoming IoT-related measurement and event data objects. Analysis of typical data flow scenarios in the electrical grid marketplace.
Kafka, Docker, Kubernetes, Spring Boot, node.js, NestJS, Quarkus, Keycloak, Prometheus, Grafana, Azure, PostgreSQL, TimescaleDB, fluent-bit, Telegraf, InfluxDB, Istio,Test Tools, Jira, Confluence
Evaluation of Cloud services (Amazon, Google, Akamei, Edgecast, Contendo, Limewire, HP etc.), implementation of a custom media distribution infrastructure for fast and secure media transcoding (FLAC, WAV, MP3, encryption) and distribution based on a universal cloud storage layer. Open Source Cloud Storage Solutions. Legal aspects of media distribution. Intellij Idea/Android Studio/WebStorm.
This project is working fine – I am CTO of this running entity without a significant workload.
Note: I will be working on an Update November 2016.
Konzeption für ein Microservice- und Micro Frontend-System zur Kombination unterschiedlicher browser apps (Angular, Vue, React, Web Components etc.) in einem DOM.
Analyse von Micro-Frontends.
Implementierung diverser Proof-of-Concept Lösungen.
Defining the migration process and all needed components for an existing “in train” portal to current technologies (frontend, backend). Implementing the migration tools, setting up the new system. Implementing the new portal based on the defined structure and Angular 6 from scratch against the rules of Atomic Design.
Defining UE atoms, molecules,organisms.
Analyzing the current trends and technologies in the Home Appliance and SmartHome markets. Market analysis around IoT and SmartHome Connectivity with the goal to define concepts for the BSH internal innovation network. Connecting projects inside of BSH and Bosch to improve communication and technology exchange.
Defining and implementing PoC solutions for machine learning, deep learning and natural language processing (NLP). Working with BOSCH Corporate Research (Renningen, Sunnyvale USA).
Defining potential content formats for internal, community driven content. Defining a potential CMS for a connected device environment. Analysing add-ons like NLP (Natural Language processing), gestures and other topics.
Demonstrating and architecting browser based App technologies and new UX approaches for embedded solutions based on Angular and Qt 5. Defining upcoming use cases. Abstracting natural language IO and implementing related machine learning use cases. Defining complex CMS structures and a round trip ecosystem.
Implementing a client/server system to develop and run Chatbot use cases.
Defining and implementing PoCs for various technical machine learning topics. Workshops. PoCs. Connecting People. System Architectures
Analysing the current state of all platforms - developing roadmaps and requirements for the future of connected devices. Developing Proof-of-Concept solutions (PoC). System Design and –Architectures for connected devices. Integration into SmartHome environments, Embedded Linux environments, Browser based Apps, Use Cases, Natural Language IO, Workshops. Connecting People.
Embedded Linux, IoT, Build systems, Market Research, Zephyr, Node.red, Node.js, Brillo, HomeConnect, AllSeen(AllJoyn, OpenHab, Iotivity, HomeKit, Android, iOS, Google Assistant, Google Home, NLP Technologies, Bot Technologies, Connected Devices, Cloud Environments, Security, Arduino, Raspberry Pi, IFTTT, SmartThings, KNX, HomeKit, AllSeen AllJoyn, OCF, IoTivity, Lora, Yocto, RiOT, FreeRTOS, OSTRO, Linaro, Soletta, Hybrid Apps, Embedded Chromium, UX/UE.
Defining the scope, use cases and the architecture for a mobile start-up company (location/context based services, targeting advertisement). Implementation of client and server (Dashboard) code. Implementing location based services, sensor services, power management, background services, REST communication for Android devices (Android SDK).
Defining and implementing iBeacon based location service features.
Defining and implementing a scaleable cloud based push service infrastructure.
Defining the architecture the big data analysis system to manage KPIs and “intelligent” targeting filter scenarios etc.
Implementing the client and server database structure.
Implementing the Android SDK, Android apps, AngularJS based dashboard, Grails based REST API.
Leading a multi national, multi site on-site and off-shore developer team.
Extending/finalizing an Android app for an in-car Entertainment solution.
Android, Media streaming, Background Services, XML, Notifications, Power Management. Tablet/Smartphone layout rewrites, adaptations and optimizations. Device specific fixes. Custom Theming. Wireframes.
IntelliJ Idea, git, embedded.
Implementing a Location Based Services scheme for iBeacons on Android.
Android, iBeacons, BLE, Bluetooth, Background Services, JSON, RESTful interfaces, Notifications, Power Management, GSON. Workshops explaining iBeacon Technology. Handling iBeacon hardware selection.
Defining and implementing the mobile client for a complex use case for BMW Motorrad.
Android, Wireframes, UX Design, RESTful interfaces. Custom UE components, Tablet UE, QR Scanner, Camera, Jackson, JSON, Encryption, Authentication.
Developing/implementing/improving the strategy and architecture of a portable mobile platform solution. Implementation of the specific the Android release. The solution is the strategic, portable and modular mobile platform of a worldwide insurance company.
als Dipl. Ing (FH) Elektrotechnik-Automatisierungtechnik
System-Architekt für Projekte im embedded/mobile-Umfeld
CTO/Interim CTO für Startups
Rundumservices von der Beratung bis hin zur Konzeption und Erstellung schlüsselfertiger Software-Lösungen.
Web-Applikationen/Browser based apps mit Micronaut, node.js, NestJS, Grails, Angular
Mobile Lösungen (Android, PhoneGap/Cordova/Ionic etc.).
REST, protobuf/gRPC Interfacing etc.
Location based Services
RxJava, RxJS, NGRX, Akita etc.
Machine Learning/Deep Learning
NLP und Chatbots
IoT, SmartHome, Home Appliances
Big Data Analysis mit Apache Spark, Kafka, Cassandra etc.
Microservices, Consul, Vault, Traefik
Keycloak IDM, OAuth, JWT
Machine und Deep Learning
Linux, OSX, embedded, Edge-Systeme
NiFi, Atlas, OpenWhisk, Pulsar
Langjährige Erfahrung mit mobilen Endgeräten
User Interface Design, Touch UI
Embedded Linux + Touch UI
Erfahrungen mit Redaktionssystemen
mehrere Redaktionssysteme entwickelt
J2EE, Tomcat, Quarkus, Micronaut
Janus, Ovenmedia, Mediasoup Videoserver
Nextcloud und -apps
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