Summary
Salika Dave is a Machine Learning Engineer with 8 years of software engineering experience, currently building ML and MLOps systems at NVIDIA after completing an MS in Computer Science and Engineering at Penn State. She specializes in engineering scalable data curation pipelines and HTIL workflows for LLMs, with hands-on experience improving recommendation accuracy and designing knowledge-graph backed retrieval systems. Her background spans production data services, AWS-based cost-optimization, and real-time file delivery architectures, including proposals that boosted transfer speeds and cut hosting costs. Comfortable across the stack—from Pyserini and Neo4j to Django, Celery, Snowflake and AWS—she combines research rigor from Alexa Prize work with practical deployment experience. Based in California, she brings a pragmatic focus on measurable impact (e.g., +10% recommendation accuracy, ~20% EC2 cost improvements) and a knack for turning exploratory analysis into production-ready pipelines.
8 years of coding experience
3 years of employment as a software developer
Bachelor's of Engineering Computer Science, Bachelor's of Engineering Computer Science at K. J. Somaiya Institute of Technology
Master of Science - MS Computer Science and Engineering, Master of Science - MS Computer Science and Engineering at Penn State University
English, Hindi, Gujarati