We are looking for talented software developers
Location: Karlsruhe or remote (MESZ timezone)
My background is in computer science. I worked in-depth on modelling, with unstructured, semi-structured and linked data. With over 20 years in software engineering, I have seen and used many patterns, tools, systems and architectures.
Offering: Java development | Consulting and training
Email: mv@maxvoelkel.de
Phone: +49 171 835 96 78
Profiles: LinkedIn | Xing | Private site
Programming: GitHub | StackOverflow
Publications: Amazon author page | SlideShare | ResearchGate | DBLP | Semantic Scholar | Google Scholar | Academia.edu
As an independent Java developer, I am available for contract roles in IT projects. Profit from over 20 years of experience in Java and web technologies.
Technologies:
Java: JEE (former J2EE), servlets
Semantic Web: ontologies, RDF, wikis, semantic wikis, linked open data
Template languages: JSP, Velocity, Thymeleaf, custom
NoSQL/schema-less data bases: key-value-stores, triple stores, graph data bases, AppEngine Data Store
Front-end: Google Web Toolkit (GWT), HTML5, responsive design
Back-end: Google App Engine (GAE/J), Docker, Google Compute Engine (GCE). Open to learn Kubernetes.
Specialties: modelling, data synchronisation, data versioning, graph visualisation
Skills:
Human languages: Fluent German and English, some French.
Computer languages: Java, XML, XSLT, JSON, RDF, HTTP, CSS, CSV. Open to learn Kotlin, Closure, Dart.
Personal skills: analyzing, presenting, architecture design, software engineering, refactoring, API design, team management, requirements engineering
Pragmatic programming
Tools: Eclipse IDE, Maven, Git, Apache Ant
Experiences: analyzed all Wikipedia pages with PageRank; automated SFTP; called Google Analytics from a Java backend; counted term co-occurences; created a rule engine, a custom in-memory search engine, several wiki engines; developed an extensive triple handling API; extracted an XML schema from XML instances, data from HTML web pages; generated DOT files, PDFs, Java source code; hacked JSP wiki; launched a collaborative task list; learned how to use color spaces, time zones, unicode; parsed Java source code, PowerPoint files, XML, wiki syntax; ran a collaborative structured discussion tool; transformed CSV; visualized Java package dependencies; wrote a text parsing framework, custom Maven plugins, a graph framework;
Due to extensive work in academia and research projects for industry clients, I can offer consulting on semantic technologies , artificial intelligence and machine learning and, innovation projects, as well as software engineering and knowledge management.
Connect data sources, infer new insights, query aggregated knowledge, lift unstructured data, formalize, manage meta-data, define a common schema — faster when I am part of the project.
Experiences:
Linked open data: Co-author of Cool URIs for the Semantic Web, W3C); creator of open-source tools for working with RDF and Java (RDF2Go, RDFReactor)
Wikis: Co-inventor of Semantic MediaWiki, industry projects, wrote custom wiki engines
Which AI technology can or should be used to increase customer satisfaction and lower costs?
My computer science masters topics: neural networks, fuzzy logic, clustering, data mining, information theory, decision trees, reinforcement learning, simulated annealing, genetic programming
After studies in entrepreneurship, several own start-ups and career as Lean Startup trainer, I’ve seen, analyzed and optimized countless business models. My special focus is on risk reduction and validation of information in early stages of an innovation project. Methods: Customer Discovery, Problem validation, Solution validation, Product/Market-fit, metrics, business model canvas
Experiences: gave numerous invited and paid talks since 2011 (e.g. KIT Venture Fest 2014), seminars (3+ years at EnTechnon), trainings (e.g. KIT upCAT Accelerator 2015, 2016, 2018)
During my time at university and my start-ups, I held several internal trainings on software engineering (e.g. onboarding of new engineers with Java, Eclipse, Maven, Git). I can also help you evaluating and selecting the right open source libraries for a given tasks, since I had to do that hundreds of times.
Which tools and processes increase productivity of your knowledge workers? You need a pragmatic analysis of the current state and the next step for improving the status quo. Often seemingly simple IT tools or process changes can unlock the best return on investment.
Experiences: Dissertation on Persönliches Wissensmanagement mit Semantischen Technologien, industry projects
Offering: Academic writing, Agile Project Management, Algorithm Development, Analytics, Big Data, Computer Science, Consulting, Data Analysis, Data Mining, Data Science, Java, Machine learning, Open Source Development, Open Source Software, Programming, Research, Software Architecture, Software Development
Looking for: Freelancing, Software Development, Consulting, Data Science, Machine learning
HTTP transmits information unencrypted.
If you are using an unencrypted WiFi, everybody in the same WiFi can read which websites you read and what you send them, e.g. password, password cookies.
If your WiFi is encrypted, then 'only' every person/organisation/state through which your IP-packets are routed can read that.
Use HTTPS instead: example.com
PS: We don't auto-redirect to HTTPS so that in the event of a HTTPS problem (e.g. expired certificate) you can still access this site.