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I am deeply passionate about integrating cutting-edge software technologies into existing industry solutions, making them more efficient and user-friendly. I thrive on the challenge of building systems from the ground up and transforming them into monetizable, real-world products.

Currently, I am pursuing a Masterโ€™s in Applied Data Science at the University of Southern California, where I continue to hone my skills and drive my commitment to innovative problem-solving.

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kayvanshah kayvanshah

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KayvanShah1

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python numpy pandas plotly folium scikit-learn tensorflow opencv pytorch fastapi selenium django html5 css3 javascript mysql postgresql mongodb elasticsearch kibana vscode chrome brave git docker kubernetes terraform github-actions google-cloud-platform amazon-aws heroku jupyter googlecolab

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Kayvan Shah's Projects

beam icon beam

Apache Beam is a unified programming model for Batch and Streaming data processing.

blogapi icon blogapi

Learning to use FastAPI by building Blogging App named BlogIt

ceph icon ceph

Ceph is a distributed object, block, and file storage platform

cityflow icon cityflow

A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

email_generation icon email_generation

Auto Email Generation is a project that utilizes FastAPI for the backend and a React frontend to automatically generate emails based on user input using the OpenAI API.

feathr icon feathr

Feathr โ€“ An Enterprise-Grade, High Performance Feature Store

natu-chatbot icon natu-chatbot

A chatbot that answers basic FAQs for onboarding new interns.

origami icon origami

:unlock: :key: :closed_lock_with_key: Origami: Artificial Intelligence as a Service

origami-daemon icon origami-daemon

A long running daemon for Origami to deploy and manage demos on CloudCV servers.

pos-tagging-hmm-adversarial-learning icon pos-tagging-hmm-adversarial-learning

This repository contains the implementation of a Part-of-Speech (POS) tagging system using Hidden Markov Models (HMMs) along with various decoding techniques and adversarial training strategies for sequence labeling tasks. Project for course DSCI 599 - Optimization Techniques for Data Science, Fall 2023

quizgenie icon quizgenie

This AI-Generated Quiz Tool project focuses on providing students and learners with accessible and effective means to reinforce their understanding of various topics.

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