Sunrise Bay Tech Solutions

Sunrise Bay Tech Solutions is a premier software consulting firm known for its exceptional ability to deliver transformative projects. Some current and past clients include: Amazon, Facebook (Meta), Magic Leap, and Motorola Solutions.

Our seasoned team of software engineers and machine learning experts harnesses the wealth of experience garnered from these industry giants to consistently exceed client expectations. Proficient in cloud computing, machine learning, and DevOps, we have successfully executed projects spanning from cloud infrastructure optimization to data analytics. Our commitment to cost-effective solutions, coupled with a relentless pursuit of technological advancements, ensures clients receive tailored, cutting-edge software solutions that drive tangible results.

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Sunrise Bay Tech Solutions is a premier software consulting firm known for its exceptional ability to deliver transformative projects. Some current and past clients include: Amazon, Facebook (Meta), Magic Leap, and Motorola Solutions. Our seasoned team of software engineers and machine learning experts harnesses the wealth of experience garnered from these industry giants to consistently exceed client expectations. Proficient in cloud computing, machine learning, and DevOps, we have successfully executed projects spanning from cloud infrastructure optimization to data analytics. Our commitment to cost-effective solutions, coupled with a relentless pursuit of technological advancements, ensures clients receive tailored, cutting-edge software solutions that drive tangible results.

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Machine Learning

Engineers with years of expierence in Machine Learning at Fortune 500 and FAANG

Ready to Ship

Deploy your infrastructure or machine learning learning models with confidence

Infrastructure

What good is accurate ML models without being able to serve them to the public and generate revenue? Let us help you deliver these results like we have for Fortune 500 and FAANG clients

Succesful

Every one of our clients has their projects completed to satisfaction -- guranteed

Portfolio:


    Highlights:

    Facebook (Meta)
    • Successfully orchestrated the strategic transition of ML features from Python to C++, delivering an annual cost reduction of $2 million, directly impacting profitability and resource efficiency.
    • Championed the optimization of ML model serving infrastructure, resulting in a substantial increase of 50 million annual Avatar Comments on Facebook, a pivotal contributor to enhanced user engagement and revenue generation.
    Amazon
    • Led the development of a high-impact Domain Targeting system, leveraging Python and a sophisticated tech stack (SQL/MySQL, TiDB, DynamoDB, Amazon RDS, and Elasticsearch), driving precision in ad campaigns and yielding significant cost savings in ad spend, amplifying ROI.
    • Pioneered a robust Permission System for high-value ad campaigns (> $1 million), fortifying security and optimizing campaign efficiency, culminating in cost-effectiveness and revenue maximization.
    • Established a rigorous integration and sanity test pipeline for ML services, resulting in a remarkable 75% reduction in new bugs, elevating system reliability and preserving valuable resources.
    Magic Leap
    • Architected and implemented agile cloud RPC APIs in Go/Golang and Python, seamlessly connecting consumer streaming data with CV/ML code, strategically reducing infrastructure costs while enhancing data processing agility and business resilience.
    • Strategically designed and executed highly concurrent, high-throughput cloud AR systems in Elixir/Erlang and Python, optimizing resource utilization for CV/ML applications, directly contributing to operational efficiency and competitive edge.
    Motorola Solutions
    • Pioneered and executed a revolutionary distributed Python and C++ computer vision pipeline for real-time 4K video processing, significantly enhancing security and access control measures while yielding substantial hardware and operational cost savings, bolstering bottom-line results.
    • Leveraged cutting-edge technologies, including TensorFlow and PyTorch, for Natural Language Processing (NLP) on radio audio input, enabling real-time search for police/security suspects, thereby elevating situational awareness and mission-critical outcomes.

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