Raghav Chalapathy

Raghav Chalapathy

I like to Build, Ship and Scale AI Agents in the AI Economy across Industries

2022 - 2026
I am a Staff Data Scientist at Walmart Global Tech (Walmart Labs), partnering with senior AI executives, product, and business teams to take ideas from research to production. Highlights of my work here:
  • Evaluating item-matching techniques and algorithms.
  • Building prototypes and proofs of concept in collaboration with AI leadership, product, and business stakeholders.
  • Developing safety-net algorithms to ensure adequate safety stock across SKUs.
  • Contributing to the Next-Generation Demand Forecasting Platform.
My current focus is leveraging Generative AI and Agentic AI to build, deploy, and scale AI solutions and applications that aid assortment placement and demand forecasting for new geographic locations.
2019 - 2022
Research Fellow at CSIRO's Data61 (Transport & Analytics Group, Data City Team). I built anomaly detection models for structural health monitoring and incident detection across transport networks (client: Sydney Harbour Bridge, NSW Transport), models for HVAC load and solar energy generation forecasting in regional hospitals, and supervised a PhD student on concept drift and anomaly detection in data streams.
2015 - 2019
Data Scientist / Research Officer at the NSW Ministry of Health. I applied data mining, machine learning and NLP to uncover service-usage patterns and investigate low-acuity care delivered by NSW Ambulance and Emergency departments. My analysis revealed ~17% of transported patients presented with low-risk back pain, highlighting the need for safer, cost-effective community models of care.
2006 - 2015
Senior Technical Leader at Huawei Technologies, Bangalore. I built ML classification models to identify software failures, conducted software security audits, and led a team of 5 to develop and automate tooling for software and security testing.
2015 - 2019
PhD, Computer Science at the University of Sydney. My research focused on deep learning for anomaly detection. Along the way I tutored Master of Data Science courses and was Project Manager / Examiner for the COMP5703 Capstone Projects course.
2011 - 2013
MS in Information Science & Security at the Illinois Institute of Technology, USA.
2000 - 2004
B.E. in Telecommunication Engineering at R.V. College of Engineering, Bangalore, India.
bio
Raghav Chalapathy is a Staff Data Scientist at Walmart Global Tech. His work focuses on deep learning for anomaly detection, natural language processing, and time-series forecasting. He earned his PhD from the University of Sydney and has worked across industry and research at CSIRO's Data61, the NSW Ministry of Health, and Huawei Technologies. He was part of the Walmart Applied AI team that won both the Edelman and INFORMS awards in 2023. He holds CISSP and Cloudera Certified Data Scientist certifications, and is passionate about teaching AI — running the CausalAI Lab community and a Substack.
awards & achievements
selected publications
Applied Machine Learning Methods for Time Series Forecasting
CIKM 2022
Linsey Pang, Wei Liu, Lingfei Wu, Kexin Xie, Stephen Guo, Raghav Chalapathy
Dual-Stage Bayesian Sequence to Sequence Embeddings for Energy Demand Forecasting
PAKDD 2021
Frances Cameron-Muller, Dilusha Weeraddana, Raghavendra Chalapathy, Nguyen Lu Dang Khoa
Robust Deep Anomaly Detection (Hands-On Workshop)
KDD 2020
Raghavendra Chalapathy, Nguyen Lu Dang Khoa, Sanjay Chawla
Deep Learning for Anomaly Detection: A Survey
arXiv:1901.03407 (2019)
Raghavendra Chalapathy, Sanjay Chawla

For more publications and citations, see my Google Scholar profile.
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