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PawanKumar18/README.md

Hi there, πŸ‘‹ this is Pawan Kumar Naveen

I am a highly skilled software engineer with expertise in full-stack web development and machine learning. With a 4.0 GPA in my MS in Computer Science from Northeastern University and 2 years of industry experience at Publicis Sapient, I have delivered high-quality solutions using technologies such as React, Node.js, Spring Boot, AWS, and Machine Learning.

Expertise πŸš€:

Software Development (2 years) πŸ’»

  • 2 years of software development experience
  • Skilled in building and revamping systems
  • Proficient in full-stack web development with a focus on back-end
  • Experienced in implementing DevOps practices
  • Strong background in continuous integration, deployment, and delivery

Machine Learning (2 years) πŸ’‘

  • Proficient in advanced model development, including neural nets, NLP, CNNs, collaborative filtering, and random forests.
  • Skilled in deploying and scaling machine learning models for seamless integration with real-world applications.
  • Expertise in deep learning, including backpropagation, MLP, autoencoders.
  • Familiarity with advanced techniques such as accelerated SGD, ResNets, DDPM, dropout, mixed precision training, attention mechanisms, transformers, super-resolution, and latent diffusion.

Technical Skills πŸ”§

  • Programming Languages: Javascript, TypeScript, Java, C++, Python, Kotlin
  • Web Development: React, NodeJS, REST API, GraphQL, JQuery, CSS,Spring Boot
  • Tools and Technologies: Numpy, Pandas, Keras, Fast AI, Hugging Face, Android App Development, Netflix OSS, Jenkins, Docker, Kubernetes, Bitbucket, Jira
  • Databases: MySql, Mongo DB, PostgreSQL
  • Cloud: Azure, Amazon Web Services !

Education πŸ‘¨β€πŸŽ“

  • Master in Computer Science - Khoury College of Computer Sciences, Northeastern University, class of 2024
  • Bachelors Computer Science and Engineering - Vellore Institute of Technology, class of 2020

Reach out to me at: πŸ“ž:

Email πŸ“§ | Phone πŸ“± | LinkedIn πŸ”—: |

Pinned Loading

  1. Bulldozer-Price-Prediction Bulldozer-Price-Prediction Public

    Predict Bulldozer price by ensembling Random forest and Neural Network model

    Jupyter Notebook

  2. U.S.-Patent-Phrase-to-Phrase-Matching-NLP U.S.-Patent-Phrase-to-Phrase-Matching-NLP Public

    This project utilizes natural language processing techniques for matching phrases in US patents. It involves data loading, preprocessing, and tokenization with the DeBERTa V3 tokenizer, along with …

    Jupyter Notebook 1

  3. Scalable-Audio-Transcoding Scalable-Audio-Transcoding Public

    Python

  4. Stock-Portfolio-Management Stock-Portfolio-Management Public

    Java

  5. Movie-Recommendation-using-Collaborative-Filtering Movie-Recommendation-using-Collaborative-Filtering Public

    Jupyter Notebook

  6. shopping-app-microservices shopping-app-microservices Public

    Java