Kevin Kochpatcharin Email & Phone Number

San Ramon, CA, US

West Lafayette, IN, US

• Research in Applications for Learning Machines (REALM) Consortium is an industry-academia partnership between Northrop Grumman Corporation and multiple universities. I am in the team of Situational Knowledge On Demand.
• Trained computer vision algorithms to detect pedestrians from street camera footage and pedestrian attributes to allow for future reidentification.
• Ran experiments to benchmark object detection and pedestrian attribute recognition models on street camera and dashcam
• Surveyed research papers and contributed new ideas to the team such as the reidentification of pedestrians by extracting recognizable attributes.
• Improved method to scrape relevant text data from Twitter and build a database of hundreds of thousands of tweets.
• Used Python, Pytorch, and AlexeyAB implementation of darknet (convolutional neural network used for feature extraction from images).

West Lafayette, IN, US

• Collaboration between Prof. Bharat Bhargava (Purdue) and Chris Jenkins (Sandia National Lab). Research focus on application of Moving Target Defense methods (MTD) on MIL-STD 1533 (serial bus communication standards)..
• Experimented with machine learning attacks on the two MTD protocol implementations from Sandia. I was given message histories generated by Sandia. I then used machine learning to determine the vulnerabilities in MTD.
• Identified components of ESA SpaceWire standard (similar to MIL-STD 1533) that could be improved by application of MTD.

West Lafayette, IN, US

• I became a TA since junior year BS, for a total of four semesters. I teach upper division CS classes. My job responsibilities:
• Cloud Computing: This is the second time this class is offered, by Professor Douglas Corner. As the class is still in development, my job includes working with professor to design lesson plan. I also create and grade.
• Operating System: I oversaw lab sessions where students implement features such as scheduler, interrupt handler, system calls in XINU OS in C++ and X86, graded homework and reviewed exams
• Relational Databases: I was TA for this class for two semesters. I taught ACID requirements, Spark, Hadoop, MapReduce. I oversaw lab sessions and reviewed and graded homework and exams

West Lafayette, IN, US

• Research to investigate blockchain to augment the WaxedPrune information sharing technology to share trusted private health information between untrusted parties.
• Combined blockchain and extended attribute aware active bundle technology to improve data sharing privacy, authorization, and leak detection.
• Designed and executed performance testing for the blockchain network.
• Measured transaction latency from recording data sharing operations with IBM Hyperledger.
• This project won 2nd Place Poster at CERIAS (Center for Education and Research in Information Assurance and Security) Symposium 2019.

San Ramon, CA, US

• Five9 is a leading provider of cloud contact center software, headquartered in San Ramon, CA. I was hired during the pandemic remotely and worked remotely. I worked with a team of eight developers (located in Russia.
• Developed a set of tools to verify the correctness of call events between on-premise Apache Kafka clusters and GCP datacenters. The tools monitor dataflow, latency, and replication of call events streaming within.
• Implemented tool to detect issues in Kafka Mirrormaker that were preventing correct replication of customer dataflow.
• Used Java, Gradle, Apache Kafka, Google Cloud Storage, GCP PubSub
• Assisted the other intern with SQL and Python scripts for his tasks

Master Of Science - Ms, Computer Science

Bachelor Of Applied Science (B.A.Sc.), Computer Science

High School Diploma, General Education