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kbastani/README.md

Kenny Bastani

Engineering Cloud-native AI Systems
LinkedIn
Blog


Summary

Kenny Bastani is a seasoned software engineer, open source contributor, author, and international speaker with 15+ years of experience. He has pioneered advancements in graph processing, cloud-native architecture, and AI systems, and is recognized for his influential work integrating Neo4j with Apache Spark and as co-author of Cloud Native Java (O’Reilly).


Skills

  • Microservices
  • Cloud-Native Applications
  • Cloud-Native Architecture
  • AI Systems
  • Graph Processing & Analytics

Experience

Phylos AI (Founder & Researcher)

Remote | Mar 2023 – Present

  • Led research and development for the Phylos.ai platform, empowering researchers to analyze data and uncover insights.
  • Integrated advanced cognitive architecture into AI assistants, enhancing user experience.
  • Developed dynamic recall commands for improved information retrieval and digital memory recall.

StarTree (Founding Engineer)

Mar 2020 – Mar 2023

  • Spearheaded open-source engineering on Apache Pinot, building scalable real-time analytics infrastructure.
  • Collaborated to enhance big data processing and analytics capabilities.
  • Helped establish Apache Pinot as a key open-source project.

Pivotal Software, Inc.

Application Architecture CTO
Sep 2018 – Feb 2019 (6 mos)

  • Led strategic vision for microservices and cloud-native solutions with Spring Boot & Spring Cloud.
  • Influenced industry adoption of modern software design practices.
  • Co-authored Cloud Native Java, guiding developers in cloud-native architectures.

Spring Developer Advocate
Sep 2015 – Sep 2018 (3 yrs 1 mo)

  • Championed Spring framework through conferences, blog posts, and open-source contributions.
  • Advised on microservices implementation, contributing to Spring Boot’s exponential growth.

Digital Insight (Lead Developer)

Dec 2014 – Sep 2015

  • Led business banking team for online/mobile solutions, focusing on entitlements and architecture.
  • Advanced security and user experience for fintech products.

Neo4j (Developer Evangelist)

Oct 2013 – Nov 2014

  • Pioneered Neo4j–Apache Spark integration (Mazerunner project).
  • Influenced Neo4j Graph Algorithms Library and modern NLP/GPT approaches.

Socialmoon (Founder, CEO)

Jul 2010 – Sep 2013

  • Founded Silicon Valley startup specializing in enterprise tech and cloud solutions.
  • Led software development lifecycle management and cloud product training.

Publications

  • Cloud Native Java: Designing Resilient Systems with Spring Boot, Spring Cloud, and Cloud Foundry (O’Reilly)
  • Numerous open-source projects, blog posts, & international conference presentations

Pinned Loading

  1. order-delivery-microservice-example order-delivery-microservice-example Public archive

    This repository contains a functional example of an order delivery service similar to UberEats, DoorDash, and Instacart.

    Java 235 61

  2. graphify graphify Public archive

    Graphify is a Neo4j unmanaged extension used for document and text classification using graph-based hierarchical pattern recognition.

    Java 378 86

  3. neo4j-mazerunner neo4j-mazerunner Public

    Forked from neo4j-contrib/neo4j-mazerunner

    Mazerunner extends a Neo4j graph database to run scheduled big data graph compute algorithms at scale with HDFS and Apache Spark.

    Java 128 29

  4. sentiment-analysis-twitter-microservices-example sentiment-analysis-twitter-microservices-example Public

    A sample application that demonstrates how to build a graph processing platform to analyze sources of emotional influence on Twitter.

    Java 60 24

  5. event-sourcing-microservices-example event-sourcing-microservices-example Public archive

    Learn about building microservices with event sourcing using Spring Boot and how to deploy a social network to Kubernetes using Docker Compose or Helm.

    Java 378 179

  6. event-stream-processing-microservices event-stream-processing-microservices Public

    Using Spring Cloud Stream and Spring State Machine to create event-driven microservices

    JavaScript 73 42

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