Rashi Chauhan
AI/ML Engineer · Technical Consultant at HPE
I build machine learning and data systems that run in production (forecasting, churn modelling, ETL and retrieval) and publish the research behind them in computer vision, deep learning and generative AI.
Data to decisions, end to end.
I'm a Technical Consultant at HPE working on predictive modelling, time-series forecasting, ETL and business intelligence. That means moving millions of records between platforms, shipping models people rely on, and automating the manual work around them.
Alongside that, I do research in computer vision, deep learning and generative AI: attention-based networks for medical, agricultural and remote-sensing images, and ML for cloud and financial systems.
I care about work that is measurable, reproducible and used.
Selected results.
Four-stage ETL pipeline
Moved millions of records from Cloudian object storage to Vertica and automated DDL and schema updates.
Machine learning · HPE~89%Customer churn model
Built on quotes, contracts and survey data to support customer retention analysis.
Research · Elsevier 202597.35%FMANet
Fused attention features with constraint fusion for colorectal tissue classification. Code and paper are public.