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Achievement: StarstruckAchievement: Pull Shark

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saurabh1907/README.md

👋 Hi, I'm Saurabh Prasad. Your Friendly Neighborhood Tech Guy !

My Superpower - Your code starts working when you show me the problem and I merely stare at it!

I’m a CS grad at the University of Florida. Big believer in hard work and a passionate software engineer with 3 years of professional experience. I started my career with Barclays where I worked on building event-driven, microservices for Fraud Detection and Identity Verification. My next challenge took me Skeps, a blockchain-based startup in consumer lending space. I created Rest APIs in Java and node.js and executed Quorum smart contracts. Through multi-threading, remodeling DB schemas, and indexing, I speeded existing APIs by 300% leading to ten folds increase in daily loan processing capacity. These experiences imparted me a strong foundation in design principles and clean code practices.

This summer I did two internships at ClaimFound and IHS Markit broadening my understanding of python, docker and CI/CD. I keep myself active with research work (published 2 papers) and side projects in deep learning, NLP, game development, etc.

  • 🎓 Master's in Computer Science, University of Florida
  • 🔭 I’m currently learning machine learning, deep learning and NLP and their application in fintechs.
  • 👯 I’m looking to collaborate on open source projects on ML and mentoring.
  • 💬 Ask me about tips for pursing Masters in US, Algorithms, engineering, and architechture design.
  • 📫 Reach me at: saurabh.prasad197@gmail.com or LinkedIn inmail
  • ⚡ Hobbies: Chess, Photography, Reading about new Tech

Connect with Me 🤝🏻

Website LinkedIn Visitors

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  1. document-classification-ml-nlp document-classification-ml-nlp Public

    Document classification into four defined categories (World, Sports, Business, Sci/Tech). Text Pre-processing using NLTK. Trained with different models ranging from Naïve Bayes to Convolutional Neu…

    Jupyter Notebook 23 6

  2. recommendation-engine recommendation-engine Public

    Devise a Movie Recommendation System based Netflix and IMDB dataset using collaborative filtering and cosine similarity. Produce a user interface to suggest content based on genre & time using Dash…

    Python 9

  3. flask-angular-docker-postgres-skeleton flask-angular-docker-postgres-skeleton Public

    Simple Angular-Flask-PostgreSQL with Docker, nginx and celery skeleton project.

    TypeScript 7 3

  4. 2d-rpg-game-cpp 2d-rpg-game-cpp Public

    2D RPG horror game in C++ utilizing OpenGL and SFML multimedia library

    C++ 4 1

  5. p2p-distributed-hash-table p2p-distributed-hash-table Public

    Using Tapestry algorithm in Elixir to construct a fault-tolerant distributed hash table for sharing files in a p2p network

    Elixir 7

  6. twitter-clone-websockets twitter-clone-websockets Public

    To design a scalable, client-server based twitter clone with phoenix framework & TCP sockets where it offers all the twitter functionalities and build a simulation model to demonstrate these functi…

    Elixir 2