Kuldeep Sidhu is a Senior Data Scientist with 9 years of experience designing and deploying large-scale ML and deep learning systems across e-commerce and retail, currently driving search relevance at Walmart for 300M+ monthly users. He has a strong track record of productionizing NLP and retrieval systems—finetuning domain BERTs, building low-latency RAG pipelines, and shipping a multi-agent LangGraph solution that delivered a $300M GMV uplift. An active open-source author whose packages have amassed over 500K downloads, Kuldeep is also a top 5% StackOverflow contributor who blends hands-on engineering (TensorFlow, PyTorch, PySpark, Elasticsearch) with system design and cloud-native deployment (Docker, Kubernetes, GCP/AWS/Azure). Notably, he scaled autocomplete candidates by 90% and built a 1000x faster lexical matcher, showing an aptitude for pragmatic engineering optimizations as well as research-driven model improvements.
9 years of coding experience
7 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
CBSE Xth, General Studies, CBSE Xth, General Studies at St Xavier's Sen. Sec. School Bathinda Punjab
High School, Delhi CBSE, High School, Delhi CBSE at Holy Convent Sen. Sec. School
Identifying faces in photos or videos is very cool, but this isn’t enough information to create powerful applications, we need more information about the person’s face, like position, whether the mouth is opened or closed, whether the eyes are opened, closed, looking up and etc.
Contributions:7 commits, 9 pushes, 1 branch in 1 year 8 months
Contributions:17 commits, 14 pushes in 2 years 7 months
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