Summary
Krishna B is a Machine Learning Engineer with seven years of experience building and deploying recommender systems and ML pipelines at scale, currently working at Twilio after a personalization role at Peloton. He combines strong production engineering (PySpark, Docker, Kubernetes, Airflow) with deep ML expertise (PyTorch, TensorFlow, HuggingFace, NVTabular) and is an AWS Certified Solutions Architect. His background spans industry and research—master’s in CS from NC State and graduate work on travel-time estimation—giving him a practical edge in data fusion and real-world evaluation. Krishna’s toolkit includes both classic statistical methods and modern deep learning for NLP and graph mining, and he has a track record of shipping features that balance experimentation (Optimizely, Amplitude) with robust monitoring (Datadog, MLFlow). Based in Missouri, he is equally comfortable optimizing large-scale data stacks and iterating on personalization models informed by A/B testing and causal thinking.
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