Help & Supportcareers@gravityer.com
Applied ML Research and Engineering
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
- Masters in CS from UT Dallas with extensive experience in Deep Learning Research and Engineering. - Worked on Large Language models, Graph Learning, Ranking systems, AI Agents, User profiling and more. - Experience leading teams for end-to-end design and development of large-scale machine learning systems. - Areas of expertise: LLMs, Agents, GNNs, Unsupervised Learning, Reinforcement learning, Ranking and Retrieval. medium.com/@utk.is.here/ scholar.google.com/citations?user=tukJL08AAAAJ github.com/utkd
The University of Texas at Dallas
Master of Science, Computer Science
January 1, 2007 – January 1, 2009
University of Mumbai
Bachelor of Engineering, Information technology
January 1, 2003 – January 1, 2007
Staff Software Engineer - Machine Learning
December 1, 2025 – Present
Noora Health
Senior Lead ML Engineer
June 1, 2025 – December 1, 2025
Bengaluru, Karnataka, India
Senior Software Engineer (Machine Learning)
August 1, 2021 – December 1, 2024
Bengaluru, Karnataka, India
IBM Research Lab
Advisory Research Engineer
September 1, 2018 – August 1, 2021
Bengaluru, Karnataka, India
Oracle
Technical Lead - Machine Learning
October 1, 2015 – August 1, 2018
Bengaluru, Karnataka, India
Amazon
Software Development Engineer
May 1, 2014 – September 1, 2015
Bengaluru, Karnataka, India
Germin8 Solutions
Senior Software Engineer (Research)
October 1, 2012 – May 1, 2014
Mumbai Metropolitan Region
Adobe
Member of Technical Staff - II
January 1, 2012 – September 1, 2012
Noida, Uttar Pradesh, India
nXn Tech
Software Engineer
March 1, 2010 – September 1, 2011
Greater Minneapolis-St. Paul Area
Sipera Systems
Intern
May 1, 2008 – December 1, 2008
Dallas-Fort Worth Metroplex
Stacked Autoencoders for Gender and Emotion Detection
July 1, 2016 – Present
Pre-trained a 5-layer network of stacked autoencoders on face images in an unsupervised manner. The pretrained network was then used to classify the gender of the person in an input image and the expressed emotion (smiling/frowning). Used theano + lasagne.
Neural Network Implementation
April 1, 2013 – Present
My implementation of Neural Networks in C. Starting point for more complex Neural Network architectures.
Skymap - skymap.herokuapp.com
September 1, 2012 – Present
My javascript hobby project
Cultural Fit Analysis
The candidate has a diverse background working across various industries and problem domains within ML, from social media analytics to medical copilots and search. This breadth of experience suggests adaptability and a willingness to tackle different challenges, which generally aligns well with dynamic team cultures. The personal projects, though older, show initiative and a foundational interest in ML concepts. The progression through senior and lead roles at major tech companies indicates a drive for growth and impact.
Soft Skills & Operational Fit
The candidate's extensive experience at large, reputable companies suggests strong operational fit and the ability to navigate complex technical environments. Leadership roles indicate strong collaboration and project management skills. However, without psychometric test results or interview data, specific soft skills cannot be definitively assessed.