Summary
Shilpika S is a polyglot software engineer and researcher with 11 years of experience building scalable predictive visualization and distributed systems, now a Postdoctoral Researcher at Argonne National Laboratory. She combines academic rigor from a PhD in Computer Science at UC Davis with hands-on engineering across Scala, Java, Python, Spark, Akka and modern datastores to deliver production-ready analytics and visualization tools. Her background spans industry-grade SaaS and enterprise integration at Tata Consultancy Services to NSF-funded research on software metrics and feature engineering for mining DVCS data. Comfortable across web, cluster and distributed frameworks, she brings both low-level systems fluency and data-driven feature engineering to complex problems. Colleagues value her for turning noisy big-data signals into actionable, time-aware metrics and interactive visualizations that inform research and operational decisions.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of California, Davis
Master's degree, Computer Science, Master's degree, Computer Science at Loyola University Chicago
Bachelor of Engineering (BEng), Electronics and Communications Engineering, Bachelor of Engineering (BEng), Electronics and Communications Engineering at Nitte Mahalinga Adyanthaya Memorial Institute of Technology
English, Hindi, Kannada, Tulu