Shreyus Puthiyapurail
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Shreyus Puthiyapurail

Shreyus Puthiyapurail  new_releases

About

Detail

Software Engineering, Specialization in Data Science
San Jose, California, United States

Contact Shreyus regarding: 

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Full-time jobs
Starting at USD8K/month
Flexible work
Starting at USD55/hour
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Networking

Timeline

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Résumé

Jobs verified_user 0% verified
  • Wipro Technologies
    Technical Lead
    Wipro Technologies
    May 2010 - Jan 2019 (8 years 9 months)
    - Implemented new features for OSSRC (Operations Support System-Radio and Core) installation and upgrade software required by various telecom clients (AT&T, Verizon, Sprint, T-Mobile, etc.), reducing the complexity of managing their network elements. - Supported the process of deployment at customer sites. - Performed POC, design, and development of hardware virtualization, helping customers to reduce existing hardware by 50% in OSSRC deployment to migrate to new ENM (Ericsson Network Management) software. - Supported 24/7 emergency production issues (Solaris, veritas clusters, versant database, and deployment issues) for various customers, providing quick resolution for after hours issues.
  • Wipro Technologies
    Senior Software Engineer,
    Wipro Technologies
    May 2010 - Sep 2012 (2 years 5 months)
    - Worked on the project to port existing CDMA based network software application from Solaris to Monta-vista Linux Operating System, increasing functionality and reducing need for costly support, utilizing C, C++ binaries, Perl, and Shell scripts. - Implemented application software and interfaces to support Linux OS by implementing system calls, file system specific changes, 3rd party module migration, machine dependent (processor) code changes, creating an easier deployment for the customer by - Analyzed and identified issues faced by the testing team, provide live support and fix bugs for future releases, expediting the release of functional software to the client.
  • Nano Kernel Ltd
    Software Engineer
    Nano Kernel Ltd
    Nov 2007 - Apr 2010 (2 years 6 months)
    - Worked on the complete production life cycle of products such as automated vehicle tracking system, automated electric meter reader, GSM/GPRS based handheld device, RFID based container tracking system. - Worked on circuit designing, firmware, application coding, and testing in creating state of the art products - Conducted study on various microcontrollers, powerline modems, GPS navigation chips, and other semiconductor devices required for product development, building the latest products with the least cost.
Education verified_user 0% verified
  • S
    Master of Science
    San Jose State University
    Jan 2019 - Jan 2021 (2 years 1 month)
    - Courses: Data Mining Large Scale Analytics Machine Learning Deep Learning Advanced Deep Learning - Reinforcement Learning Software Systems Engineering Enterprise Software Platforms Master Project
  • Visvesvaraya Technological University
    Bachelor of Engineering
    Visvesvaraya Technological University
    Jan 2014 - Jan 2019 (5 years 1 month)
Projects verified_user 0% verified
  • D
    DeepFake Detection: SJSU, Spring 2021 (Ongoing masters project)
    Jan 2021
    - Implemented the project to identify fake videos and images created using state-of-the-art deep learning techniques with an accuracy of 96%. - Updated the pre-trained model layers using transfer learning and trained the model to analyze the broken-down temporal sequential frames of fake videos. - The model predicts the percentage of fakeness in each frame, which is then converted into a mp4 video and displayed on the screen with the percentage of model prediction. - Deployed the model and web application for inference, on GCP using Kubernetes.
  • L
    Low Resolution to High Resolution Image Enhancement
    Jan 2020
    - Implemented model to increase the size of small images while keeping the drop-in quality to minimum or restoring high resolution images from rich details obtained from low resolution images, resulting in 5% better quality. - Hosted the model as a service using TFx serving on Kubernetes on Google Cloud Platform. - Developed and deployed web application as a service for model inference using Kubernetes.
  • H
    Heart-health prediction using Machine Learning / Fake review identification / Parcel service web application
    Jan 2019 - Jan 2020 (1 year 1 month)
    - (Spring 2020): Implemented a prediction model to predict heart health, given the daily activity data of an individual from Fitbit. - (Fall 2019): Implemented NLP (Natural Language Processing) based model to identify fake reviews on the hotel. Data was scraped from Booking.com. - (Fall 2019): Implemented web application for local parcel service.
  • V
    Fighting Illegal Dumping
    Voluntary Project
    Jan 2018
    - Implemented a classifier and image detection model to identify if a shopping product is environment friendly and recyclable. Data of various trash images were collected from google images and several other resources. Labelbox tool was used to draw. - Several deep learning approaches were tried to obtain good accuracy. Yolov5 was used for object detection by custom training the model, with our dataset having 31 classes. Inceptionv3 model was used for image classification.
Publications verified_user 0% verified
  • m
    medium