Aishwarya Prabhat
GenAI Solutions Architect at Google
Singapore
Summary
👤
Senior🎓
Top SchoolAishwarya Prabhat is a GenAI Solutions Architect based in Singapore with nine years of experience designing and productionising AI/ML systems across fintech and consumer platforms. Currently on Google’s GCP APAC Solutions Acceleration team, she builds proof-of-concept and enterprise-grade GenAI solutions that demonstrate the art of the possible. Previously at DBS she pioneered container- and Kubernetes-native MLOps and GenAIOps, and at Shopee she architected ML platforms, HA training clusters and cross-functional ML products that scaled to hundreds of data scientists. Her background spans research (NVIDIA, HP) to industry, with hands-on skills in Deep Learning, MLOps, CI/CD, Kubernetes and multimodal models—plus an MS in Computer Science from Georgia Tech. Notably, she pairs a researcher’s curiosity (published work and patents) with a product-minded ability to move projects from prototype to production at bank and platform scale.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering (B.E.) Computer Science (ISTD) - Artificial Intelligence & Cyber Security, Bachelor of Engineering (B.E.) Computer Science (ISTD) - Artificial Intelligence & Cyber Security at Singapore University of Technology and Design (SUTD)Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of TechnologySingapore-Cambridge General Certificate of Education 'A' Level, Singapore-Cambridge General Certificate of Education 'A' Level at Victoria Junior CollegeSingapore-Cambridge General Certificate of Education 'O' Level, Singapore-Cambridge General Certificate of Education 'O' Level at Victoria School (Singapore)
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (44)
fine-tuning9
application9
vector-database8
ocr8
llm8
mlp8
evaluation7
apache-spark7
kubernetes7
minio7
argocd7
go7
llama-index7
docker7
streamlit6
Programming languages (5)
Github contributions (5)
aishwaryaprabhat/bike_sharing_demand_prediction
Oct 2019 - Aug 2022
Project prepared for Aish's NUS guest lecture 'Machine Learning in the Real World' for Masters students in IE5105 Modeling for Supply Chain Systems course
Contributions:22 commits, 6 PRs, 31 pushes in 2 years 10 months
machine-learning
aishwaryaprabhat/full-stack-ecommerce-website
Aug 2021 - Aug 2021
Contributions:35 commits, 27 pushes, 1 branch in 19 days
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