Keerti Bhogaraju
Sr. AI ML Engineer at Provation
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolKeerti Bhogaraju is a Senior AI/ML Engineer based in Seattle with six years of experience designing and shipping enterprise-grade AI systems and internal platforms. She has driven end-to-end product and technical discovery at Fortive—building reusable AI SDKs, an internal agent registry, and production knowledge systems—and recently advanced agentic AI and SDLC automation at Provation. Her background blends hands-on ML engineering at Amazon (improving Just Walk Out models and cutting cloud costs) with academic work in applied data science, giving her a strong foundation in scalable, production ML. An active contributor to federated learning tooling, she has improved observability in the FEDML project’s distributed training stack, reflecting a practical focus on monitoring and debuggability. Known for turning exploratory research into reliable production capabilities, she pairs systems thinking with product-driven delivery.
6 years of coding experience
6 years of employment as a software developer
Master of Science - MS Applied Data Science, Master of Science - MS Applied Data Science at University of Southern California12th Science, 12th Science at Fergusson CollegeBachelor of Technology - BTech Computer Engineering, Bachelor of Technology - BTech Computer Engineering at Vishwakarma Institute Of Technology10th Schooling, 10th Schooling at Rosary High School, Pune
English, Marathi, Hindi, Telugu
Github Skills (7)
machine-learning10
logging10
distributed-training10
deep-learning10
federated-learning10
python10
pytorch8
Programming languages (2)
Github contributions (5)
FedML-AI/FedML
Dec 2020 - Dec 2020
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
Role in this project:
ML Engineer
ML EngineerContributions:7 reviews, 12 commits, 2 PRs in 1 day
Contributions summary:Keerti primarily modified log statements across multiple files within the `fedml_api/distributed/fedseg` directory. These changes involve adjusting how information is recorded during training, aggregation, and testing within the federated learning framework. The user also merged a branch focused on logging statements, indicating a focus on improving the monitoring and debugging capabilities of the system, particularly within the context of a distributed training environment. This suggests an effort to enhance the observability of the federated learning processes.
inference-enginepythonsimulationdecentralizedsilo
Exponential-Brute-Force/bruteforce.github.io
Nov 2020 - Dec 2020
Github pages blog for project
Contributions:1 review, 97 pushes, 2 branches in 19 days
brute-forcejekyllxml-rpcpages-blogbruteforce
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