Principal Research Scientist

More than 10 years of experience with deep learning, machine learning, numerical modeling and scientific computing in production environments. Proficient in Python, C++ and Linux

• reckoning.dev
• [email protected]
• LinkedIn Profile
• Hyderabad, India

Technical Skills

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

Experience

Principal Scientist

MICRON - Mar 2022 - present | Hyderabad, India

• Principal AI and data research scientist in a technology and product group at Micron

Principal Research Scientist

WHITERABBIT.AI - Aug 2018 - Mar 2022 | Santa Clara, CA

• AI research scientist in a medical imaging startup

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