Vamshi Krishna Thotempudi
Advisory Machine Learning Engineer
- Role
- Advisory Machine Learning Engineer at IBM
- Location
- San Jose, CA, US
- LinkedIn followers
- 500 followers
About Vamshi Krishna Thotempudi
Advisory Machine Learning Engineer interested in NLP/ML, end-to-end ML, MLOps. MS in Computer Science and B.Tech in Computer Science and Engineering. Skills: Python, Scikit-learn, Kubeflow, Apache Kafka, FastAPI, Docker, K8s, ELK, Microservices, Java, DevOps, Object Storage.
Experience
Advisory Machine Learning Engineer
Aug 2019 — Present · San Jose, CA, US
Build end-to-end ML training and inference pipelines in IBM Watson AIOps solution to predict the risk of deployment changes thereby preventing risky deployments from getting pushed to production. • Led MLOps Platform development to automate ML pipelines end-to-end. Platform enabled data scientists and mainly non-data scientists to train, build and benchmark ML models thereby helping reduce the amount of effort required to train and build Speech to Text (STT) models by 75%. • Led STT model training development of both Broadband (BB) and Narrowband (NB) models for Dutch and Italian languages with WERs of 15% and 16.5% respectively.
Education
University of Minnesota Duluth
Master's Degree, Computer Science, 3.52/4.0
2012 — 2014
Jawaharlal Nehru Technological University
Bachelor's Degree, Computer Science & Engineering, Distinction (~ 3.8/4.0)
2008 — 2012
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