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About me


  • 2021 - 2022
    University at Buffalo, The State University of New York

    Master’s in Artificial Intelligence

    3.9 GPA Coursework: Advance Machine Learning, Advance Computation Linguistic, Graph Mining and Graph Neural Net- works, MultiAgent Reinforcement Learning System, Computer Vision and Image Processing, Robotics Algorithm Activities: Teaching Assistant for Spring 21 and Fall 22, Research Assistant, Ice Skating Club, Judo-No-Kata Member

  • 2010 - 2014
    Guru Nanak Dev Engineering College

    Bachelor’s in Information Technology

    Coursework: Data Structure and Algorithm, Computer Architecture, Data Warehousing, Parallel Computing Activities: Hackit Alpha, Gamerz club, Long-Distance Runner


  • 2021 - 2021

    Senior Member of Technical Staff

    – Processed 500k documents per day for Classification and Entity Extraction via tensorflow Cnn-Attention model.
    – To reduce Cost and save Time, Developed machine learning retraining pipeline in Kubernetes.
    Skills: Natural language Processing, Tensorflow, Snowflake, Kubernetes, AWS, Kubeflow, Spark, Airflow

  • 2019 - 2020

    Machine Learning Engineer

    Visual Search Engine

    – Improved visual search engine Recommendation by classifying multiple Attributes of clothes.
    – Designed a new end-to-end Object Detection model pipeline to detect clothes and Deployed as a service on AWS.
    – Decreased model Inference time by indexing images and save computation cost by model Quantization.

    Object Tagging System

    – Enhanced Accuracy of tagger system by using Pose estimation model to detect Best shot from videos.
    – Decreased Manual Cost by training and deploying Auto face recognition model to recognise celebrities in videos.

    Skills: Computer Vision, Pytorch, Object Detection, Object Tracking, Recommendation System, Aws, Pose Estima- tion, MongoDb

  • 2017 - 2018
    Banca Sella


    – Improved Accuracy of Loan default system by grouping customers based upon profile.
    – Built new Optical character recognition and text analysis tool for processing Forms and

    Skills: Natural language Processing, Ocr, Oracle, Anomaly Detection, Fraud Detection, Data Analysis

  • 2015 - 2017
    Cognizant Technology

    Programmer Analyst

    – Implemented a new Message Queue to communicate between Swift payment system and Interbank applications.
    – Built Java based backend of core bill payment system for Tenet rent payment System.
    Skills: Java, Python, Oracle, Backend, Software Development