• Hardworking Passionate AI Engineer with interests lying at the intersection of the mathematical frameworks needed in Machine learning and its practical applications. • Eager to work on new projects and solve challenging problems both individually and collaboratively with others.
My work involves the following two broad categories: 1. R&D: Meta-learning and Auto ML for multi objective optimization 2. Solution and Manage Projects: Solution End to End Distributed AI systems while managing and mentoring a team of Data Scientists, Software Developers and DevOps engineers.
Timeline
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Head of Product and Engineering, GIA
GP
Aug 2026 - Current(2 months)
Director, Product and Engineering
GP
Mar 2026 - Aug 2026(6 months)
Sr Manager, AI Engineering
GP
Jun 2024 - Mar 2026(1 year 10 months)
Principal AI Engineer
GP
Mar 2023 - Jun 2024(1 year 4 months)
Staff AI Engineer
GP
Apr 2022 - Mar 2023(1 year)
Senior AI Engineer
Cognizant
Apr 2020 - Apr 2022(2 years 1 month)
Projects / Products: • End to End ML Ops Platform: Product Lead • Insights to Demand: Product Manager - Define the Vision and the Roadmap - Define the users and their needs, while interacting with them to spot opportunities - Human Centric UI - Data Modernization - Systematic plan to replace old systems with newer ones, ensuring a smooth user transition - Using AI Optimizing Open Pipeline for company to meet its revenue needs • Evolving Loss functions for GANS: https://arxiv.org/pdf/2102.08578v1.pdf • Neural Architecture Search for Cifar • Investment Optimization System A
AI Engineer II
Cognizant
Jul 2019 - Apr 2020(10 months)
AI Engineer I
Cognizant
May 2018 - Jul 2019(1 year 3 months)
Evolving and Visualizing NN • Developed a library to visualize Neural Network Architectures • Evolved Architectures for language translation on the Omniglot dataset: https://evolution.ml/demos/omnidraw/ • Optimizing Diabetes medicinal prescription to reduce number of deaths and re-admittance time by developing an Evolutionary assisted Surrogate Prescriptor: https://arxiv.org/pdf/2002.05368.pdf
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Research Assistant
High Perfomance Computing Center
Mar 2017 - Jan 2018(11 months)
Mailing System Automation and clustering for classification of tickets based on priority.
AI Researcher
Texas Tech University
Jan 2017 - Jul 2019(2 years 7 months)
Ecological Dynamics Simulation (EDYS)Workflow - A predictive software that given the landscape conditions and the some parameters can predict the landscape conditions of a particular area. Tested widely in Texas. Originally written in Pascal. Now Migrating to Python for parallelization and Machine Learning Addition (Capturing Aerial Data of Landscape and Analysis). I have also been responsible to build the GIS system and Deploying it to AWS
C
Web Developer
CLOUD AND AUTONOMIC COMPUTING CENTER
Oct 2016 - Mar 2017(6 months)
Web Developer – Frontend Web, and Backend using Rails Developed nsfcac.org
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Technical Support Engineer
Sensors Management Enterprises Lucknow
Mar 2016 - Aug 2016(6 months)
Using both Assembly language and C with P8V51RD2 microcontroller to develop Frequency and Voltage measurement system