Mishal Shah

Mishal Shah Email and Phone Number

Senior SWE (Gen AI) @ Meta @ Meta
Mishal Shah's Location
San Jose, California, United States, United States
Mishal Shah's Contact Details
About Mishal Shah

9+ years of experience in Software Engineering including 5 years in Machine Learning.Specialities:Concepts: Data Science, OOAD, Design Patterns, Data Structures & Algorithms, Cloud Computing, Map ReduceCoursework: Machine Learning, Deep Learning, Distributed systems, Data Mining, Web application, virtualizationData Science: conda package, ScikitLearn, XGBoost, Spark, Keras on Tensorflow, PMMLTechnology: UNIX, RESTful webservices, Jupyter Notebook, Kubernetes, Docker, Amazon AWS, AngularJS, Node.js, Hadoop, Android, Virtualization Languages: Python, J2SE, J2EE, R, Shell Script, Scala, JavascriptDatabase: NoSQL (MongoDB, DynamoDB, HBase, Redis, Hive), Relational (MySQL, DB2)

Mishal Shah's Current Company Details
Meta

Meta

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Senior SWE (Gen AI) @ Meta
Mishal Shah Work Experience Details
  • Meta
    Senior Software Engineer
    Meta Aug 2024 - Present
    Menlo Park, Ca, Us
    Build parts of RAG system (Generative AI) at Meta AI.
  • Ebay
    Member Of Technical Staff
    Ebay Nov 2023 - Aug 2024
    San Jose, Ca, Us
  • Microsoft
    Software Engineer
    Microsoft May 2021 - Oct 2023
    Redmond, Washington, Us
    -> Design and build backend On-demand framework around big data processing system and developed collection move/rename orchestration, which supports the bulk move/delete process and onboarded Microsoft Customers.-> Redesign the architecture of Path pattern rule update that reduces the job runs and saves the customer costs.-> Optimize the spark jobs using spark graphframes to increase the throughput that helps support more customers.-> Engineering Excellence: - Built a part of monitoring and metrics system for each orchestration which helps identifying the live sites issues and resulted in the drop of higher sev incidents, saving the internal costs. - Enabled Batch processing platform for Sovereign clouds, which on-boarded 300+ customers.
  • Intuit
    Senior Software Engineer - Machine Learning
    Intuit May 2020 - Apr 2021
    Mountain View, California, Us
    • Design and build the architecture of Voice Identification for a customer support and develop ML pipeline using Spark, Kinesis and Pytorch• Build ETL pipeline for Product Prediction using Clickstream on Kafka, Timeseries DB, Redis, Spark and MySQL.• Deploy applications on AWS (Lambada, Kinesis, RDS, EMR, Sagemaker) docker and Kubernetes based Argo AI.
  • Ibm
    Staff Software Engineer (Machine Learning) @ Watson Studio
    Ibm Feb 2017 - May 2020
    Armonk, New York, Ny, Us
    Design and development of backend microservices to provide ML and other data science tool as a serviceWorked on training, prediction and Evaluations of ML models using various ML library frameworks like Scikitlearn, XGboost, Keras on Tensorflow and Spark, PMMLBuilt libraries on Spark and Python; wrote templates to run on distributed spark running on HDFS and HiveDeployed Web applications in Container-based system using docker and kubernetes.Tech Stack: Python, Scala, R, docker, kubernetes, cloudant, Java, redis, flask, Maven
  • Ibm
    Staff Software Engineer @ Guardium
    Ibm Feb 2015 - Feb 2017
    Armonk, New York, Ny, Us
    Designed and developed web application & CLI components of Guardium product.Responsible for a full stack web application development: 1. Back End [RESTful APIs, Databases (relational & NoSQL), Amazon AWS services]; 2. Front End (Javascript, HTML, CSS, JSP); 3. Command Line Interface (Java)Tech Stack: Java, Javascript, Amazon AWS, RESTful APIs, MySQL, Apache Torque, Python, syslog-ng, svn, gitlab, etc.
  • Ibm
    Software Development Engineer Intern
    Ibm Jun 2014 - Feb 2015
    Armonk, New York, Ny, Us
    1. Developed web application components of Guardium product.2. Fixed existing bugs and customer escalations meanwhile learning architecture and protocols of the product3. Built shell scripts and python scripts to automate repetitive complex tasks and make it easy for other developers to work.
  • San Jose State University
    Linux Systems Administrator
    San Jose State University Jun 2013 - Jun 2014
    San Jose, Ca, Us
    Responsible for Design, building and administering Unix based Production Environment (Servers as well as clients)Built Shell Scripts and Python automation scripts for monitoring and long term trouble shootingExperience working/building servers like DHCP, NFS, LDAP, SNMP, DNS, SMTP, etc.

Mishal Shah Skills

Mysql Shell Scripting Unix Javascript Design Patterns Json C++ Web Services Python C Databases Java Enterprise Edition Android Development Amazon Web Services Hadoop Mongodb Xml Cloud Computing Vmware Infrastructure Mapreduce Data Structures Virtualization Nosql Distributed Systems Javase Jquery Vmware Apis Network Administration Ant Ajax Vmware Esx J2ee Application Development Machine Learning Jms Force.com Bluej Groovy Weka Apache Spark Maven2 Processing Tensorflow Keras Convolutional Neural Networks Spark Xgboost Scikit Deep Learning

Mishal Shah Education Details

  • San José State University
    San José State University
    Computer Software Engineering
  • Gujarat Technological Univesity
    Gujarat Technological Univesity
    Computer Science

Frequently Asked Questions about Mishal Shah

What company does Mishal Shah work for?

Mishal Shah works for Meta

What is Mishal Shah's role at the current company?

Mishal Shah's current role is Senior SWE (Gen AI) @ Meta.

What is Mishal Shah's email address?

Mishal Shah's email address is mi****@****ail.com

What is Mishal Shah's direct phone number?

Mishal Shah's direct phone number is +151650*****

What schools did Mishal Shah attend?

Mishal Shah attended San José State University, Gujarat Technological Univesity.

What are some of Mishal Shah's interests?

Mishal Shah has interest in Chess.

What skills is Mishal Shah known for?

Mishal Shah has skills like Mysql, Shell Scripting, Unix, Javascript, Design Patterns, Json, C++, Web Services, Python, C, Databases, Java Enterprise Edition.

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