Prashant Ranjan
Search Relevance Engineer at Salesforce
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolPrashant Ranjan is a Search Relevance Engineer at Salesforce with eight years of industry experience building NLP-driven search and recommendation systems. He combines a strong academic foundation from UMass Amherst and SRM University with hands-on roles across Fidelity and Salesforce, progressing from graduate trainee to lead AI researcher and production engineer. His work focuses on natural language understanding and generation, applying deep learning to improve relevance and user-facing search quality at scale. Based in San Francisco, he brings both research rigor and product-minded engineering, having moved prototypes from academic research into enterprise search applications. Notably, he blends applied ML and software engineering expertise—bridging model development, evaluation, and deployment—to deliver measurable improvements in search relevance.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Technology (B.Tech.), Computer Science, 8.93/10, Bachelor of Technology (B.Tech.), Computer Science, 8.93/10 at SRM UniversityKendriya Vidyalaya SangathanMaster's degree, Computer Science, Master's degree, Computer Science at University of Massachusetts Amherst
English, Hindi, French
Stackoverflow
1reputation
0reached
2answers
0questions
Github Skills (48)
elmo9
transfer-learning8
wordnet8
classifier8
team-project8
neural-machine-translation7
tf-idf7
latent-dirichlet-allocation7
bengali7
lda7
elm7
document-classification7
natural-language-processing7
classification7
python7
Programming languages (4)
Github contributions (5)
PrashantRanjan09/Improved-Word-Embeddings
Jun 2018 - Aug 2020
Contributions:3 commits, 4 pushes, 1 branch in 2 years 2 months
PrashantRanjan09/Elmo-Tutorial
Jul 2018 - Jun 2020
A short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)
Contributions:24 commits, 1 PR, 23 pushes in 1 year 11 months
incrementalelmpre-trainedshorttraining
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