Summary
Khachatur Mirijanyan is a data scientist with eight years of experience building and research-driving machine learning systems, currently applying deep learning to audio and production problems at CDK Global. He combines hands-on engineering—TensorFlow, NLP, and statistical modeling—with academic rigor from UCSC and an MS in Statistics from UC Berkeley, producing research-quality dialogue and audio models. His background spans startup ML engineering (Kena.AI), pandemic-era research (CoronaWhy), and applied analytics roles that honed production data pipelines and experimentation. An avid reader of ML literature, he brings curiosity-driven improvements to models and architectures, often bridging research ideas into deployed features. Based in San Jose, he’s as comfortable prototyping novel algorithms as he is optimizing models for scalable, real-world systems.
8 years of coding experience
2 years of employment as a software developer
Master's degree, Statistics, Master's degree, Statistics at University of California, Berkeley
University of California Santa Cruz