Tarun Joshi Email and Phone Number

Uhana was acquired by VMware in 2019. 1. I was a Backend engineer to work in streaming pipeline to handle 1 Million+ events per second. 2. Worked on Streaming Frameworks like Apache Flink, Kafka Streams, Twitter Heron and distributed system technologies like Kafka, Kubernetes, Docker to achieve scale for million+ events.3. Wrote a Decoder to decode RAN messages with both static and runtime derived schemas (ASN) to protobuf.4. Worked on custom ANTLR parsing library (inside streaming apps) to parse KPI formulas from network analysts.

Data Engineering on Streaming Data for Actionable AI

Java Developer for Apple's Search InfrastructureTechnologies: Apache Solr, Java, Concurrency , Multithreading

Back-End Developer for WebEx (Virtual Meeting Platform over Cloud) Provisioner Platform .Contributions : 1) Improved Webex Order processing by decoupling Non-SLA items (Checking DNS/https status for sites) after From SLA (Validating Site Orders for correctness) items (Converted multithreaded orders to Single thread call back architecture , fork-join for callbacks) using Java 8 , multithreading, Intrinsic and Explicit locking, Non-Blocking Producer and Consumer messaging pattern (Sensitive Consumer to optimize between load sensing and avoidance of CPU contention with other Order processing threads).2) Implemented a virtual method loader (Similar to a classloader) for converting incoming Jaxb objects (Orders from Production) to fresh requests for simulating production behavior in Test Environment

* Worked on one Full Stack implementation for simulating Business Approval process for Infrastructure readiness for demands of a project . * Wrote Highly Scalable RestFul Web Services using Spring MVC, Spring OAuth and jdbcTemplate from Spring DB and angular js and microsoft sql server. * Was involved in all phases requirement gathering -> design -> coding -> testing -> delivery -> sign off* Used UI-router library from Angular JS to design runtime workflow (based on inputs from previous UI component ) to simulate business requirement.

*Masters in Enterprise Systems , Courses involved Algorithm and Data Structures , Operating Systems , Databases and Enterprise System Technologies , Internals of Big Data Technologies like Apache Storm.•Major Project: Tuning Spark for better performance for Machine Learning pipelines for images. During which I learned about Spark Best practices like -reuse of JVMs, Data Serialization techniques like Kryo -how to chose correct Data persistence for your jobs -how to control parallelization by use of repartition and coalesce -use DAGs lineage for lazy loading RDDs and how to even more lazily do Actions on them -how to use of jupyter+ interpreter for your language to Debug complex machine learning pipeline and plot substages so as to know are we building it right? •Optimized an Actor System (asynchronous distributed web-server, based on event driven architecture, which can receive and send messages from any protocol) using Java NIO (Netty), protocol - buffers, mongo DB. •Wrote research assignment for a class of Distributed Systems " How to optimize Java for Distributed Systems”, also talked about ethos of parallel programming and how do functional languages fair on it.

*Work involved creating Data Ingestion pipeline for consuming network statistics from Cassandra and publishing it onto Kafka Server, consumed by Spark and HDFS Consumers . * Also wrote Sliding Window algorithm for Spark Streamers ,learned about tuning window time and sampling time to control streaming analysis results

* Was the Back-end Java developer for developing Web-Services following RestFul Architecture pattern Oracle's Banking Product "Flexcube" *Thorough hands on with technologies like JAX-RS , JAXB parser for XML , Core Java Design Patterns, Enterprise Design Patterns (Application Services , Business Services , DAO vs DTO ), J2EE Framework (hibernate used internally for ORM) , RestFul Web Services. * Learned concepts about Java Persistence Architecture and J2EE Container Architecture , Tomcat (Web Server Internals) Internals like hot deployment, DataSource and Connection Pooling. * JVM tuning parameters like UseSharedPages , UseParallelOldGC , heap memory tuning for better performance. *Sql query tuning,Database Tuning for better performance .* Worked on 2 successful releases of a product .

* Worked for clients from Canada and Australia , namely Symcor and Telstra* Work involved mainly around Core Java and J2EE frameworks like Struts , Webworks and messaging framework like JMS * Thorough hands on with MVC architecture and SQL queries and core Java design patterns*Hands on with Front end technologies like JSP/Servlets and javascript* Involved in end to end SDLC life cycle phases from requirement gathering -> design phase -> coding -> unit and system testing -> release and build management - > user acceptance testing* Collaborated with variety of teams under IT service delivery , ranging from testing , development , management, client escalations and build.

Received Training in Core Information Technology Areas like * Object Oriented Programming * Problem Solving * RDBMS * Linux Shell Scripting* Operating System Concepts * MainFrames * Core Java , Enterprise Java