Summary
Shalin Mehta is an Analytics and ML Engineer with 12 years of software and data-science experience, currently building production analytics at Apple after a decade of system and ML work at Intel. He blends strong software engineering discipline (SDLC, Agile, databases) with hands-on ML and deep learning expertise—Python, Pandas, Scikit-learn, TensorFlow/Keras and PySpark—to turn QA and sensor data into actionable insights. At Intel he designed analytics frameworks, databases for model storage and QA-focused ML pipelines, and has built end-to-end projects from data ingestion to model deployment. He also pursues hands-on side projects—Kaggle competitions, a TensorFlow object-detection project and a PySpark news-stream classifier—demonstrating practical experimentation beyond his day job. Based in Kirkland, WA, he pairs fast learning with a pragmatic approach to solving hard engineering problems in Big Data and ML.
12 years of coding experience
10 years of employment as a software developer
Computer Engineering, Software, Computer Engineering, Software at Gujarat University
San Diego State University
English