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I’m a Software Engineer with a strong background in building scalable distributed systems, cloud-native applications, and production-grade machine learning solutions. I specialize in processing unstructured data like audio and text, developing real-time analytics pipelines, and deploying models in production environments. I currently work at Ulta Beauty, where I design and optimize backend systems for sponsored product analytics. Previously, at Amazon, I developed secure, event-driven systems and real-time ML solutions for Alexa's ambient sound recognition, working with AWS services like Lambda, SageMaker, and Kinesis. I hold a Master’s in Computer Science from UNC Charlotte (GPA 4.0), and I bring a passion for clean architecture, efficient code, and democratizing ML through extensible tooling. What sets me apart is my ability to blend deep technical expertise with a strong product mindset, delivering data-driven solutions that are robust, user-focused, and scalable.…I’m a Software Engineer with a strong background in building scalable distributed systems, cloud-native applications, and production-grade machine learning solutions. I specialize in processing unstructured data like audio and text, developing real-time analytics pipelines, and deploying models in production environments. I currently work at Ulta Beauty, where I design and optimize backend systems for sponsored product analytics. Previously, at Amazon, I developed secure, event-driven systems and real-time ML solutions for Alexa's ambient sound recognition, working with AWS services like Lambda, SageMaker, and Kinesis. I hold a Master’s in Computer Science from UNC Charlotte (GPA 4.0), and I bring a passion for clean architecture, efficient code, and democratizing ML through extensible tooling. What sets me apart is my ability to blend deep technical expertise with a strong product mindset, delivering data-driven solutions that are robust, user-focused, and scalable.

Amulya Chepyala

Back-End Developer, Cloud Developer, Full Stack Developer, +2

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I’m a Software Engineer with a strong background in building scalable distributed systems, cloud-native applications, and production-grade machine learning solutions. I specialize in processing unstructured data like audio and text, developing real-time analytics pipelines, and deploying models in production environments. I currently work at Ulta Beauty, where I design and optimize backend systems for sponsored product analytics. Previously, at Amazon, I developed secure, event-driven systems and real-time ML solutions for Alexa's ambient sound recognition, working with AWS services like Lambda, SageMaker, and Kinesis. I hold a Master’s in Computer Science from UNC Charlotte (GPA 4.0), and I bring a passion for clean architecture, efficient code, and democratizing ML through extensible tooling. What sets me apart is my ability to blend deep technical expertise with a strong product mindset, delivering data-driven solutions that are robust, user-focused, and scalable.…I’m a Software Engineer with a strong background in building scalable distributed systems, cloud-native applications, and production-grade machine learning solutions. I specialize in processing unstructured data like audio and text, developing real-time analytics pipelines, and deploying models in production environments. I currently work at Ulta Beauty, where I design and optimize backend systems for sponsored product analytics. Previously, at Amazon, I developed secure, event-driven systems and real-time ML solutions for Alexa's ambient sound recognition, working with AWS services like Lambda, SageMaker, and Kinesis. I hold a Master’s in Computer Science from UNC Charlotte (GPA 4.0), and I bring a passion for clean architecture, efficient code, and democratizing ML through extensible tooling. What sets me apart is my ability to blend deep technical expertise with a strong product mindset, delivering data-driven solutions that are robust, user-focused, and scalable.

Available to hire

I’m a Software Engineer with a strong background in building scalable distributed systems, cloud-native applications, and production-grade machine learning solutions. I specialize in processing unstructured data like audio and text, developing real-time analytics pipelines, and deploying models in production environments. I currently work at Ulta Beauty, where I design and optimize backend systems for sponsored product analytics. Previously, at Amazon, I developed secure, event-driven systems and real-time ML solutions for Alexa’s ambient sound recognition, working with AWS services like Lambda, SageMaker, and Kinesis. I hold a Master’s in Computer Science from UNC Charlotte (GPA 4.0), and I bring a passion for clean architecture, efficient code, and democratizing ML through extensible tooling. What sets me apart is my ability to blend deep technical expertise with a strong product mindset, delivering data-driven solutions that are robust, user-focused, and scalable.