Anders Due Schwartz's Email Addresses & Phone Numbers

📖 Summary

Intern @ Sigma Space Theoretical research and algorithm design of novel dynamic hierarchical nonparametric belief propagation (DHNBP) framework based on the Memory-prediction Framework by Jeff Hawkins. The DHNBP implements particle filtering (Gibbs sampling) and MCMC techniques. The work was done with Sigma Space corporation for my master thesis project. From August 2008 to June 2009 (11 months) Lanham, MD, USAIntern @ Fisher & Paykel Appliances Developed test management system in LabVIEW using MSSQL DB. From February 2006 to September 2006 (8 months) Software Engineer II @ Immucor, Inc. - Developed and shipped software (in C#), in production at large contract customer- Developed software under FDA regulatory control- Facilitated execution of 50+ SW protocols by implementing a virtualized test environment (Hyper-V)- Process improvement using Agile best practices and configuration of TFS for use in SCRUM- PMP CertifiedExperience with technologies: C#, IIS, MSSQL and Management Studio, Visual Studio, TFS, Hyper-V virtualization, virtual machine manager, LIS, ASTM From October 2014 to July 2015 (10 months) Greater Atlanta AreaProject Manager, SAP BI consultant @ Energinet.dk Project Management and development of Oracle and SAP Business Intelligence solutions.Developed business intelligence solutions:- Development of Oracle data warehouse solutions.- Development of SAP Data Services solutions. Designing and implementing data warehouse architecture.- Close collaboration with business users: Understanding their needs and the relevant business processes. Specifying and designing solutions that meet their needs.Research:- Research of data mining techniques and applications.- Lead work on specifying how to apply data mining to big data analysis on e.g. energy data (power transmission data) and fault detection in complex business processes.Project Management:- Full time project manager of various IT-projects spanning IT equipment, MS SharePoint-platform to SAP Business intelligence solutions.- PRINCE2 Project Management certification (Foundation)- Engaged in project organisation development and procedures implementing PRINCE2 methodology.- Maintenance of the SAP BI platform and coordination of work done by external consultants Experience with technologies:- SAP Data Services, SAP Business Objects XI (Web Intelligence, Universe Designer), MS SharePoint, Microsoft SQL Database, Microsoft SQL Enterprise Manager, Virtualization, Tomcat, PRINCE2 Project Management, knowledge of SAP HANA From September 2011 to February 2012 (6 months) Fredericia, DenmarkGraduate and Project Manager @ Energinet.dk Accepted to the highly competitive Energinet Graduate programme. The Graduate programme is a two year, 3x8 month rotation, where I was embedded in different business units of the organisation within IT. During this time I both worked full time as IT project manager of SAP Business Intelligence solutions, using PRINCE2, and at other times full time developer of Oracle Data Warehouse solutions.The graduate programme was successfully completed in 2011, whereafter I was hired as a project manager and SAP BI developer. From September 2009 to September 2011 (2 years 1 month) Fredericia, DenmarkResearch Assistant @ University of Southern Denmark Worked on HiTech Elite Trees (HiTech Elitetræer):In HiTech Elite Trees the goal was to produce (in vitro) genetically enhanced Christmas tree seeds, thus initially minimizing the production of malformed seeds. In this project I participated in the development of a vision solution that would inspect and quality assess seeds based on algorithms developed in my bachelor project. Technologies:LabVIEW, C++, Semi-supervised learning in multi dimensional spaces, Development of expert C++ and LabVIEW algorithms for quality assessment of seeds From February 2006 to September 2007 (1 year 8 months) Sr. Machine Learning Engineer @ SpaceTime Insight - Developed and maintained in house machine learning library written in Scala running on Spark- Development of an external DSL for interfacing with machine learning library- Credit card fraud detection PoC using a Hidden Markov Model and Hierarchical Mixture Models- SW engineering using Scala, Java, Spark, SBT, Artifactory, Circle CI, AWS, DSL, xtext, xtend, unit test From February 2017 to September 2017 (8 months) San Mateo, CASoftware Engineer III, Big Data @ CareerBuilder - Developed product “Recruitment Edge”, processed ~500M social profiles at PB scale in Hadoop cluster using Spark (Scala) and MapReduce (Java)- Championed initiatives to increase operational job stability and quality of dataset (data driven-unit testing, generating/guessing emails for profiles to increase accuracy of ML matcher) - Created a solution to recover data that was lost from millions to 10-50k.- Implemented scalable code for handling large datasets (TBs), daily addressing challenges with deduplication, enrichment and unification of social media and professional profiles - SW engineering using Java, Scala, JUnit, ScalaTest, Spark, MapReduce, Hive, HDFS, Hadoop, Yarn, Git From July 2015 to February 2017 (1 year 8 months) Norcross, GATechnical Development Manager @ DTI Robotics US, Inc. I lead the technical development efforts of the office. I specialized in researching and implementing state-of-the-art topics in artificial intelligence in various software products, most recently in a novel software product aiding users in solving problems using artificial intelligence (using a Bayesian network).Experience with technologies: C++, C#, Python, Java, JavaScript, jQuery, AJAX, SVN, MySQL, Qt (user interface), Visual Studio, Eclipse, Boost, Google Test, Jenkins, GeNIe, SMILE, agile software development, software architecture using UML, ROS, ROS test, catkin, Universal Robot (UR5), KUKA. From September 2013 to October 2014 (1 year 2 months) Atlanta, GA, USAConsultant at Danish Technological Institute, Center for Robot Technology @ DTI Robotics US, Inc. At DTI my main role was to research, prototype and apply state-of-the-art topics in Artificial Intelligence in various software products, implementing Bayesian networks, Decision Support (Markov Decision Networks) and Markov chains.I have developed 2 major software packages (and co-authored many more) mainly in C++ but using any technology that suited the task, including C#, JavaScript, etc. In this position I also had a mentoring role for students. Developed a novel integration between a UR5 robot and a bin picking system, creating a new bin picking product for collaborative robotics. Implemented rotational matrices to convert between Euler angles (used by bin picking) and axis angle (used by UR5).During my employment at DTI I also earned a business economics degree providing me with a valuable fundamental understanding of investment, financing, business economics, international trade, law and more. Experience with technologies:- C++, MySQL, SVN, HTML5, JavaScript, jQuery, websockets, Eclipse, Boost, C#, Python, Google Test. ROS, Knowrob, Rosbridge, GeNIe, SMILE, Gephi, Ubuntu, Qt. From February 2012 to September 2013 (1 year 8 months) Odense, DenmarkStaff Software Engineer @ BetterCloud - Built user merge recommendation model (Entity Resolution with Random Forest) to support merging user accounts belonging to the same user- User behavior modeling PoC with unsupervised anomaly detection using GMMs- Implemented Data Lake based on Spark, storing anonymized product data (TBs) - Tools: Scala, Java, Spark, Flink Google Cloud Platform, Dataproc, Kafka, Spark MLLib, Spark Structured Streaming, Jupyter, sci-kit learn, terraform, gradle Greater Atlanta AreaSr Software Engineer, Tech Lead @ BetterCloud - Designed and built scalable stateful streaming Flink pipelines in Scala for the Alerting product- Alert triggering using Windowing based on the MillWheel framework- Load testing, production metrics, focus on quality, scalability, dependability, correctness- Scala, Flink, Kafka, Elastic Search, MySQL, Java, k8s, GCP, Schema Registry, sbt, gradle, terraformDesigned and implemented a recommender system (using collaborative filtering) and led a team that won the company 2018 hackathon. From September 2017 to August 2019 (2 years) Greater Atlanta Area