Led end-to-end machine learning development for audio plugin applications, from data collection through model deployment. Expertise in designing, training, and implementing production-ready ML models for audio processing solutions.

Products I've worked on:

* Vocal Prep https://www.antarestech.com/products/ai-powered-vocal-chain/vocal-prep

* Vocal De-Esser https://www.antarestech.com/products/vocal-effects/vocal-de-esser

* Auto-Tune Pro https://www.antarestech.com/products/auto-tune/pro

NLP models for auditing healthcare records

• Designed and implemented data collection and processing systems with Amazon AWS, AWS Lambda, & Apache Spark.

• Researched, designed, and implemented deep neural network, machine learning, and DSP systems for live audio processing.

• Advised on software engineering & best practices.

Research & development on Optical Music Recognition engine.

Technologies: Python/Numpy/Pandas/Celery/Flask, C++, MongoDB