Mor Krispil

Background

About Mor Krispil

20+ years of hands-on innovation, evolving through the eras of: SaaS, Mobile, Big-Data and Data-Science.Multidisciplinary: architecture patterns, research vectors, software stacks.Industries: Cyber, Fintech, SaaS.Publications: patents, morkrispil.wordpress.com, stackexchange.com/users/2860880/mork, github.com/morkrispil, simdfied.appspot.com.Believes in the broader aspect of AI research, proprietary algorithms and time tested architecture principles.Always open for Architecture Research opportunities, where innovation and diverse experience can make the difference-Solutions:POCs • system architecture • data science • cross-group engagement • patents & grants • proprietary algorithms • large-scale HA cloud deployments • DevOps • cost reductions • interoperabilityResearch vectors:Threat data • cluster analysis • anomaly detection • trend detection • sequence analysis (bioinformatics) • signal processing • meta-data analysis • fuzzy hashing • quantitive research • evolutionary algorithms • time-series analysis • density estimation • periodicity & trend detection • NLP-Threat stack:IoT • DDOS • WAF • Honeypots • source-reputation • botnet-detection • passive fingerprinting • protocol dissectors • adversarial attacksResearch stack:numpy • scipy • pandas • scikit-learn/bio/image • HDBSCAN • keras • xgboost • StatsModels • prophet • matplotlib • plotly • D3 • spark • ssdeep • LSH • octave • NLTK • word2vec • calais • lucene • code vectorizationEng. stack:Linux • python • bash • jupyter • node.js • WebSocket • kubernetes / docker • STIX • elasticsearch • kibana • redis • PostgreSQL • MongoDB • Nginx • SQS • AWS • Azure • GCP • HDFS • OAuth • SIMD • OData • REST • javascript • HTML5 • RDBMS • Java •.NET