Machine Learning Engineer @ Apple | Responsible AI & Safety
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Machine Learning Engineer driving safety, fairness, and robustness across large-scale vision and language models.
UC San Diego
Master’s Degree, Computer Science
January 1, 2015 – June 1, 2017
National Institute of Technology Karnataka
Bachelor of Technology (B.Tech.), Information Technology
January 1, 2011 – January 1, 2015
Apple
Machine Learning Engineer
June 1, 2017 – Present
Cupertino, California, United States
Samsung R&D Institute India - Bangalore
Software Engineering Intern
May 1, 2014 – July 1, 2014
Greater Bengaluru Area
Indian Institute of Science
Summer Research Intern (Game Theory)
May 1, 2013 – July 1, 2013
Greater Bengaluru Area
Eyehome 2.0
January 1, 2016 – Present
A software application that supports multi-modal data input and processing using Eye-tracking technologies and Brain Computer Interfacing, primarily aimed at assisting patients with motor neuron diseases like the Locked-In syndrome.
Ember Web Accessibility Tool (E-WAT) : An application to improve webpage accessibility for the blind
August 1, 2014 – April 1, 2015
A software application developed to address the needs of visually impaired internet users.The accessibility of a webpage is essential for the understandability and comfort associated with web browsing for visually impaired users, and E-WAT provides an easy-to-use platform for web developers to create more accessible websites. It evaluates the accessibility of a website according to the accessibility guidelines set by the W3C and outputs a more accessible version of the same website.
An Empirical Evaluation of WSDL to OWL-S Mapping Tools
July 1, 2014 – May 1, 2015
Research work aimed at presenting a comparative evaluation of four WSDL to OWL-S mapping tools (WSDL2OWL-S, Mindswap OWLS API, OWL-S Editor and BPEL to OWL-S Mapping Tool) and analyzing their performances based on several parameters pertaining to Web Services.
Google Scholar Metrics Data Visualization
January 1, 2014 – April 1, 2014
A dynamic data visualization of Google Scholar Metrics data using the JavaScript library, D3.js. With a concrete visualization framework representing multiple metrics like h-index, i10 index, number of citations, field of study and year, conclusions about the growth of each research field and scholar in Computer Science and Technology, as well as a comparison of scholars in different research fields were deduced.
Touch : A device to help the visually impaired feel what we see
July 1, 2013 – Present
A Kinect based haptic feedback system that allows the blind and visually impaired to visualize and interpret two and three dimensional diagrams. A user would be able to feel a shape, a map or a diagram, and by doing so can create a spatial understanding of the image in question. This project was carried out at DIy-Engineering the Eye workshop organized by MIT Media Lab.
Post-Surgical Biometric Tricorder
January 1, 2013 – Present
A portable three level system which measures vital body statistics - cardiac rhythms (using phonocardiogram), heart rate and blood oxygen saturation level (using pulse oximeter) and dilation of the pupil (using head mount IR camera). This prototype was developed during the Design Innovation Workshop (MITDI 2013) organized by MIT Media Lab.
Design Innovation Workshop MITDI 2013
MIT Media Lab
June 24, 2026 – Present
DIy - Engineering the Eye
MIT Media Lab
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including several initiatives focused on accessibility and social impact, suggests a strong alignment with values of innovation, user-centric design, and contributing to meaningful solutions. The experience at Apple and various research internships indicates adaptability to different work environments. However, the lack of explicit team collaboration descriptions in projects makes it hard to fully assess team-oriented cultural fit.
Soft Skills & Operational Fit
The candidate's project history, particularly those involving assistive technologies and research, suggests strong problem-solving skills, innovation, and a user-centric approach. The MIT Media Lab certifications indicate a proactive learning attitude and ability to participate in design and innovation workshops. However, without specific behavioral assessment data, it's difficult to fully assess collaboration or stress handling.