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jackpraveenraj/README.md

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jilango@usc.edu | (213) 913-5005 | Los Angeles, California
Portfolio | LinkedIn | GitHub

Skills:

Education:

University of Southern California – Los Angeles, California, USA
Jan 2023 – Present
Master of Science in Computer Science
Expected Graduation: Dec 2024
Coursework: Analysis of Algorithms, Database Systems, Information Retrieval, Machine Learning for Data Science, Deep Learning, Multimedia Systems Design.

SRM Institute of Science and Technology – Chennai, India
June 2018 – May 2022
Bachelor of Technology in Computer Science and Engineering
GPA: 9.27 / 10.00
Specialization: Artificial Intelligence and Machine Learning
Coursework: Advanced Algorithms, Programming Languages, DBMS, Machine Learning, Deep Learning
Co-Curricular Activity: Founding Technical Research Member of ACM Special Interests Group (ACM SIGL)

Academic Experiences:

National University of Singapore (NUS)
Deep Learning Global Academic Intern
Jun 2021 – Aug 2021

  • Gained experience through online-classroom and practical experience on Data Science and Deep Learning.
  • Architected a Stacked LSTM Machine Learning model for sleep pattern optimization.

Hewlett Packard Enterprise Education (HPE)
Applied Deep Learning Trainee | Acting Team-Lead
Aug 2021 – Sept 2021

  • Spearheaded "Brain Abnormality Segmentation Using MRI Scans" project.
  • Deployed deep learning model for MRI scans segmentation on Microsoft Azure.

Projects

DeepChat: Work-Mode for Instant Messaging
Sept 2021 – Nov 2022

  • Full stack mobile application for iOS and Android using React Native.
  • Developed 3 Deep Learning Models and integrated with an Instant Messaging App.

Technical Research Team Member

(ACM SIGL Student Branch SRM) - Apr 2020 - Present

Working On:

•	Research Paper Based On Audio Refining and Distortion. (Conceptual Phase)

Corporate Strategy and Marketing Team Head

(ACM SIGL Student Branch SRM) - Apr 2020 - Present

Events Organised:

•	Samsung Prism Phase 3

Technical Team Member

(CSE Association) - Aug 2019 - Jan 2020

Worked On:

•	ULTRON 5.0 2019 Website

•	SRM University Freshers Event 2019 Website

Publications

  • J. P. R. Ilango, A. Paul, A. G. Kumar, S. Y. Sait, R. Kayalvizhi and S. S. Safiullah, "Disturbance Detection in Mobile Instant Messaging Apps using Deep Learning", IEEE Conference (IIHC), 2022 - Click Here to Open

Certifications

  • Machine Learning (Stanford University)
  • Google Cloud Computing
  • Python Programming & Data Structures (NPTEL)
  • 3D SARS-Covid-19 Protein Visualization with Biopython (Coursera)

⭕ 3D Donut: (https://github.com/jackpraveenraj/Donut-CPP)

Demo

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  1. abhishekpaul11/Disturbance-Detection-MIM abhishekpaul11/Disturbance-Detection-MIM Public

    Instant Messaging App built on React Native with backend deployed on AWS DynamoDB and S3 using AWS Amplify (API Querying handled by GraphQL). The distracting content is filtered with the help of a …

    Jupyter Notebook 1 1

  2. Cloud-Segmentation-Using-UNet Cloud-Segmentation-Using-UNet Public

    Cloud Segmentation Using UNet

    Jupyter Notebook 1

  3. 3D-SARS-Covid-19-Using-Biopython 3D-SARS-Covid-19-Using-Biopython Public

    3D SARS-CoV-19 Protein Visualization With Biopython

    Jupyter Notebook

  4. Stock-Prediction-Using-Stacked-LSTM Stock-Prediction-Using-Stacked-LSTM Public

    Stock values is very valuable but extremely hard to predict correctly for any human being on their own. This project seeks to solve the problem of Stock Prices Prediction by utilizes Deep Learning …

    Jupyter Notebook 32 10

  5. Number-Plate-Recognition-Using-OpenCV Number-Plate-Recognition-Using-OpenCV Public

    A fully functioning Number Plate Recognition Software made using Python (Pytesseract and Machine Learning). The software allows users to detect moving vehicles, separate the number plate and detect…

    Python 8

  6. Machine-Learning-Stanford-University Machine-Learning-Stanford-University Public

    Course Link: Machine Learning - Stanford University (https://www.coursera.org/learn/machine-learning)

    MATLAB