Summary
Krishna B is a Machine Learning Engineer with six years of experience building and deploying large-scale recommender systems and production ML infrastructure, currently at Twilio after leading personalization work at Peloton. He pairs AWS-certified cloud architecture expertise and distributed-systems tooling (Kubernetes, Airflow, MLflow) with GPU-optimized stacks like NVIDIA HugeCTR and NVTabular to deliver high-throughput, production-ready models. His background combines academic research in data fusion for travel-time estimation with hands-on retail analytics and SKU rationalization, enabling him to bridge statistical rigor, A/B experimentation, and product-focused engineering. Based in Missouri and educated at NC State and NIT Raipur, he maintains a public GitHub portfolio and a reading habit that fuels continual learning.
7 years of coding experience
3 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at North Carolina State University
Bachelor of Technology, Electronics and Tele-communication, Bachelor of Technology, Electronics and Tele-communication at National Institute of Technology Raipur