AI Research Scientist

More than 6 years of experience with deep learning, machine learning, numerical modeling and scientific computing in production environments. Proficient in Python, C++ and Linux.

Technical Skills

  • Languages - Python, C++/C, R, JavaScript, Bash
  • Concepts - Deep Learning, Machine Learning, Computer Vision, Numerical Optimization
  • Tools/Environment - PyTorch, Tensorflow, Keras, Git, Webpack
  • Frameworks/Libraries - React, jQuery, Bootstrap, SciKit-Learn, Pandas
  • Data - PostgreSQL, Mongodb, GraphQL, JSON

Experience

Research Scientist

WHITERABBIT.AI - 2018 - Present | Sunnyvale, CA

  • AI research scientist in a medical imaging startup
  • Developed Pytorch based high level API for training deep learning models in medical imaging

Staff Engineer - Machine Learning

SAMSUNG - March 2018 - Aug 2018 | San Jose, CA

  • Deep learning research on anomaly detection
  • Machine learning solutions for extremely imbalanced data in manufacturing

Deep Learning Research Scientist

KLA TENCOR - 2017 - 2018 | Milpitas, CA

  • Developed deep learning applications in lithography, defect detection and image translation
  • Designed auto-encoder models for learning ellipsometry signals
  • Designed product for defect detection in lithography

RET Design Engineer

INTEL - 2013 - 2017 | Hillsboro, OR

  • Built efficient machine learning models to identify defects prior to production
  • Designed and built deep learning models for the optimal placement of sub-resolution features on PSM masks
  • Developed models and algorithms to design optical masks to enable lithography of 14nm, 10 nm and 7 nm nodes
  • Designed new python and C++ libraries and APIs for RET data analysis, visualization and debugging

Education

PhD in Chemical Engineering

University of Wisconsin - Madison - 2008 - 2013 | Madison, WI

Advisor: Prof. Juan de Pablo Thesis: Energy landscapes of proteins and glassy materials

B.Tech in Chemical Engineering

Indian Institute of Technology Kanpur - 2004 - 2008 | Kanpur, UP, India

Accomplishments

  • Six Intel Achievement Awards
  • 10 publications in the highest profile journals including Nature Materials and Nature Chemistry
  • Work on ultra-stable glasses covered in regular media Source 1 Source 2
  • Work on diabetes protein structure molding highlighted in media Source
  • Received one of the swiftest promotion in less than 3 years at Intel Corp. 2016
  • International student academic achievement award, UW-Madison, 2012-13
  • Ranked among top 0.5% of 400000+ students in nation-wide IIT entrance examination, 2004