Experience

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  Antaragni, iit kanpur

  May 2017 - Sept 2017

  Senior executive

  Antaragni - the annual cultural festival of IIT Kanpur - is one of the largest and most anticipated festivals throughout Asia• It involved creating banners and posters for the various events planned by different festival cells.• Developed design strategies for sponsors' mass reach and awareness• Used tools like Adobe Photoshop CC and Adobe Illustrator at a professional level for design purposes

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  Kpit

  May 2019 - Jul 2019

  Data science researcher

  Traffic Flow Prediction Using Deep Learning• To design & build a multi-agent dynamics system that will help streamline traffic to avoid jamitons.• Data: Time series traffic density counts for various roadway sites as collected by various sensors.• Implemented Seq2Seq LSTM as an MVP.• Did investigation on related domain research papers.• Developed a new LSTM architecture using a pooling module.• Inferences: Reduction in RMSE value by 12 % for sensors experimented, retrieved related sensors. Show less

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  Vmock

  Sept 2020 - Sept 2021

  Data scientist

  Facial Expression Recognition Improvement• Worked on improving real-time feedback on facial expressions during a mock interview.• Analyzed the various classes of the data to combine and reduce them to expression classes needed according to the client.• Investigated various papers based on FER and developed modules like kernelized dense layer, self-attention, and integrated with the existing model.• Thorough hyper-parameters tuning ablation study due of the limitation of model size as per the product demand.• Inferences: Increased overall accuracy by 4 percent and increased class-wise precision and recall by a good margin for the existing base model.Appearance Recognition & Background Classification• Analyzed the appearance and background of the interviewee during a video interview.• Modelled various elements such as professional attires and background conditions to improve thefeedback system.• Analyzed the video frames using Dlib and OpenCV to extract relevant feature elements for the different cases.• Designed and developed tagging panels for storing and generating input data to train machine-learningmodels.• Developed a deep learning-based algorithm for the classification tasks using TensorFlow 2 and 1 both.• Error handling and resolving library-level conflicts while systematic TensorFlow 2 to 1 migration.ML Modular Library• Designed an ML module structure to standardize the general development process for any product.• Developed heuristics to make the development of new projects efficient from the existing projects.• Converted the whole pipeline system to a modular form that is easy to use.• Modelled a singular app-like interface that can directly be used while developing the ml-based backend of new products. Show less

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  Info edge india ltd

  Oct 2021 - Sept 2023

  Data scientist
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  Stealth

  Sept 2023 - now

  Experimenting

  AI, Web3

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  Inflection point ventures

  Oct 2023 - now

  Observer