Anwar Mujeeb

Software Engineer specializing in machine learning and full-stack development. Expected to graduate from San Jose State University in December 2024.

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2024

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2023

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2023

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2022

Featured Projects

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Experience

ST Microelectronics

Santa Clara, CA

April 2024 - November 2024

Software Engineering and Machine Learning Intern

  • Accelerated inference speed by 200% by optimizing Tensorflow model architectures for on-device blood pressure monitoring using Android NDK
  • Reduced QA testing time by 60% by developing automated sensor validation pipeline using Python and C++ with 6-axis robotic arm
  • Achieved 90% accuracy in gait reconstruction by implementing transformer model for accelerometer data analysis using Tensorflow and signal processing
  • Reduced model deployment time by 75% by architecting end-to-end ML pipeline with on-device validation, AWS S3 for data ingestion, and SageMaker for continuous model training

Google

Mountain View, CA

May 2023 - August 2023

Software Engineer Intern

  • Engineered a comprehensive testing framework for iOS mobile client to backend integration, leveraging Java, Objective-C, and Swift for automation, reducing testing time by 50%
  • Led cross-functional collaboration with over 4 teams to define requirements and solutions for iOS client-backend integration, enhancing team synergy and project outcomes
  • Spearheaded integration of iOS Authentication for tests, utilizing SSO Tokens, iOS Identity Kit and Google's Identity services
  • Authored comprehensive integration tests for Google Fi's Android client, employing gRPC, Espresso, and Kotlin for robust end to end testing for mobile apps

Google

New York City, NY

May 2022 - August 2022

Software Engineer Intern

  • Developed a multithreaded, high-throughput data processing pipeline in C++ for Google Ads, boosting performance and efficiency for large-scale data operations by 10%, impacting over $5 billion in spend
  • Wrote a 12 page document detailing project design, integration with existing systems, and data validation process
  • Utilized internal Google development process including design reviews, bug tracking, version control, code reviews, and validation and CI/CD
  • Optimized SQL queries for data validation, streamlining data integrity checks and improving speeds by 50 ms

Skills

Languages

C++JavaPythonJavaScriptKotlinObjective-C

ML/AI

TensorFlowPyTorchKerasLlamaIndex

Web & Mobile

ReactNode.jsFlaskAndroid DevelopmentiOS Development

Cloud & Tools

AWSGoogle CloudMongoDBMySQLGitDocker