Real-Time Machine Learning

SHAWKY BISHR

Cupertino, California 408-***-**** ***********@*******.*** www.linkedin.com/in/shawky-bishr-694b9a2

End2End System Performanc & Security Observability Architect

Results-driven and motivated technical professional with extensive industry experience in Design, develop, code and deploy ML-based real-time End2End System Observability Architect for QA and Production environment to Monitor Behavior Patterns & Analysis in real-time for Applications, Cloud Traffic and Servers for anomaly behavior patterns in performance and Sercurity, generate alert on performance anomalies and security incidents in real-time. Triage and analysis symptoms to identify the root-cause and generate reports and open bugs.

Expert in AI Agents for Smart Electric Grid built by electric utility companies. Expert in Real-time Performance Behavior Analysis System for AI-Assisted Agent sensors for IoT services using Cloud-based infrastructure encrypted traffic to identify optimum point for company customer solutions & requirements -SLA- versus Cloud Traffic costs versus performance to meet different KPI requirements for AI agent different messages such as synchronous versus asynchronous traffic versus scale to support millions of AI Agent messages per minutes. Use machine learning methods to develop Real time application performance behavior analysis system to detect Anomalous Performance behavior patterns in real time due to cloud resource usage & security threat incidents. Triage and analyze anomalies behavior to identify root cause including security incidents such as DoS that impacted performance.

KEY SKILLS

ML-based Real-Time Performance Behavior Analysis System for IoT services Cloud traffic performance analysis AI Agents co-exist profiling Forensic Analysis Anomaly identification & Security threat incidents using Machine Learning Cloud Performance Resource Analysis Server Workload Performance Analysis Testing Embedded Systems Message Traffic Generator Developer Python Google Golang Linux Unix Windows Microsoft

PROFESSIONAL EXPERIENCE

Itron Remote December 2021 - October 2024

Principal End-End System Performance Architecture for Smart Electric Grid.

Support development for AI Agents on Electric meters.

Analyze cloud traffic behavior data path to find optimum point for company provided customer solutions versus cloud traffic costs versus KPI requirements per message such as real-time messages versus scale AI agent messages to over 10s 6 million message per minute

Design and develop Real time application Performance behavior analysis system

Develop setup and maintain technical lab for both SW Dev & QA for dev, QA manual and test automation.

Design, develop and write test plan and test cases for functional, integration and E2E testing.

Develop Agent-side baseline cluster white-list for various workload patterns analysis & resources utilization analysis to build anomalies cluster black-list during new feature development/bug fixes/patches.

Identify & update anomalies cluster black-list for profiling in multiple AI Agents in Linux container environment.

Develop traffic generators to identifyE2E system performance bottlenecks and performance anomalies to support 15K messages/sec and 10 million messages per minute in Azure cloud infrastructure during dev/QA/Production

Develop Agent-Cloud Integration baseline clusters of white-list for various workload patterns analysis & resources utilization analysis to identify anomalies during new feature development/bug fixes/patches.

Develop Agent-Cloud-Server Integration baseline clusters of white-list for various workload patterns analysis & resources utilization analysis to identify anomalies during new feature development/bug fixes/patches.

Identify & update anomalies cluster black-list for End2End system performance.

Based on E2E cluster black-list, write & update End2End test automation Test Cases to run by scripts on Jenkins Pipeline to verify E2E black-list.

Develop tools for Traffic analysis to identify bottlenecks and perfromance issues in the messages data path subsystem such as RabbitMQ, Eventhub and others in Azure cloud environment.

Calix San Jose, CA June 2019 - May 2020

Principal End-End System Performance Engineer

Developed data analytics / KPI dashboard to support Calix products using remote test automation lab and SW tools for Cloud automation lab to support SW development and testing.

Develop tools for log data analytics for both dev/QA & virtual labs for both abnormal behavior & KPI metrics.

Developed Reservation system APM and security threats automated anomaly detection using unsupervised ML.

Developed tools to backup and Sync Postgres, Minio and Elasticsearch databases.

Supported LAAS IP networks and provide root cause analysis for network failures.

Developed dashboard to support Spirent Velocity Application for remote test automation lab.

Developed tools for Postgres, Elasticsearch and Minio databases.

Designed Framework classes and libraries to support Kibana dashboard.

Developed SW tools for Cloud automation lab to support SW development and testing using Velocity from Spirent.

Developed Elasticsearch plugins and unsupervised ML for APM automated anomaly detection.

Developed Framework for Velocity Jboss-based Application to stress and performance test s for big data such as Elasticsearch and SQL Postgres database.

Developed Dashboard for Velocity Application Performance Monitoring.

Ingested network logs as a data source to Elasticsearch index to analyze CVIL user issues.

Developed Dashboard for data analytics on bugs root cause analysis using Jboss log file.

Facebook Remote June 2018 - July 2019

SENIOR SW TOOLS DEV

Developed data analytics / KPI dashboard based on RESTAPI-based, Logstash plugins to support extend Grok filter to support new fields and developed unsupervised ML for APM automated anomaly detection.

Developed SW tools for Cloud automation lab to support SW development and testing

Developed test automation for wake word engine simulation for different sensitivity in Linux system environment

Developed test automation framework to stream YouTube live streaming channels for identifying new datasets for False Rejection FRR and False Acceptance FAR and feedback to the Portal wake word engine.

Analyzed server-side FRR and FAR versus Client-side FRR and FAR and identify the data sets subgroup to be fed to the wake word engine to improve FRR and FAR metrics.

Developed competitive analysis automation framework for Facebook Portal main competition such as Amazon Echo, Google Home and Apple Siri.

Designed framework classes and libraries for Kibana dashboard and developed unsupervised ML for APM automated anomaly detection and SW tools for Cloud automation lab to support SW development and testing.

Developed plugins for Grok filter and video streaming framework.

Wrote automation scripts for System stress and performance test s for big data such as Elasticsearch and SQL Postgres database and supported competitive analysis for Facebook competitors.

Developed database tools queries for Facebook big data.

Harmonic San Jose, CA March 2016 - June 2018

EMBEDDED SYSTEM DEV TEST LEAD/ SAQ ARCHITECTURE

Developed test plan for different audio streams AAC, SDI, Dolby and led QA organization to oversee all aspects of software quality, including functionality, design, and performance and user experience.

Provided leadership in building and maintaining QA procedures; and analyzing defects in life cycle.

Tested different audio formats and A/V sync analysis and tested automate audio channel mode for MXF file format and audio jingle template.

Wrote Test plan and Test Cases for embedded Linux systems to support Video over IP and Test plan, Test cases for MPG2 and MPEG4 Video.

Implemented QA Process across different projects.

Developed framework classes and libraries for Elasticsearch/Kibana and Elasticsearch plugins.

Setup Android-based QA lab to support developers for manual and automation testing for unit testing and regression testing for MPEG encoders.

Built Private IP networks to support customer deployments.

Developed framework for big data such as Hadoop and Elasticsearch and Test cases automation using Perl and Python.

Qualcomm San Diego, CA January 2014 - March 2016

EMBEDDED SYSTEM DEV TEST LEAD/ SAQ ARCHITECTURE

Developed framework classes to support IOT appliances and wrote Test plan and Test Cases for embedded Linux systems to support Video over IP over WIFI 802.11AD and 802.11AC systems on a chip.

Wrote Test plan, Test cases for MPG2 and MPEG4 Video over 802.11AD/802.11AC wireless system for smart phone, Tablet and Notebooks and implemented QA Process across different projects.

Designed QA lab for Production Networks for loading, stress and performance testing for Linux-based embedded 802.11AD/AC wireless Access Point systems.

Performed infrastructure software and hardware testing and triaged and analyzed script outputs and Hadoop File System boxes log file using log sweep for crash and fatal errors.

Wrote Python scripts to analyze log files for Video performance over 802.11AD/802.11AC.

ADDITIONAL RELEVANT EXPERIENCE

VIDEO OVER IP SYSTEM SOFTWARE ARCHITECT Microsoft IPTV San Jose, CA

EDGE PRODUCT QA MANAGER FOR LINUX-BASED EMBEDDED SYSTEMS Skystream Networks Sunnyvale, CA

EDUCATION

Master of Science (M.S.) in Electrical Engineering

Bachelor of Science (B.S.) in Electrical Engineering

Alexandria University Alexandria, Egypt

TRAINING AND PROFESSIONAL DEVELOPMENT

HP Open View Certified Network Management Administrator.

SS7 Network Certified Administrator by Telcordia Technologies.

Numerous courses on Network devices from Cisco (CCNE), 3Com, Lucent (LCNE).

Numerous courses on Programming languages at Sun Microsystems.

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