Vaibhav Vats is a Data Scientist specializing in Interactive AI with eight years of experience building NLP and ML solutions across industry and academia, currently at Salesforce in Palo Alto. He combines deep research experience—where he cut LLM training-data needs by 90% and improved multi-label classification by 18%—with production-grade engineering skills in PySpark, Docker, Kubernetes, and cloud platforms. His background includes ML internships at Apple and research roles at USC and ISI, where he delivered scalable zero-shot entity linking and tooling that boosted model accuracy and visualization performance substantially. Comfortable across languages from Python and Java to Swift and JavaScript, he bridges end-to-end pipelines from data ingestion and ETL to model deployment and interactive applications. Notably, he has applied both classical NLP and modern transformer methods (FAISS, BERT, Transformers) to real-world systems, and maintains an active GitHub presence as @fazevaib.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Southern California
SSSC Mathematics and Computer Science, SSSC Mathematics and Computer Science at SHANTI GYAN NIKETAN SCHOOL
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Guru Gobind Singh Indraprastha University
Implemented popular Machine Learning techniques and Algorithms
Contributions:21 commits, 1 PR, 19 pushes in 5 months
techniquespythonmachine-learningdata-science
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