sik247 Goto Github PK

followers: 7.0 following: 9.0 repos: 40.0 gists: 0.0

Name: sik247

Type: User

Company: NYU

Bio: Passionate coder and enthusiast in the realms of artificial intelligence, deep learning, and algorithmic trading. NYU CS & ECON

Location: New York

Blog: https://www.linkedin.com/in/sang-in-kang-a256b9b0/

Hey there, I'm Sang In (Harry) Kang! 👋

✨ About Me ✨

Software Engineer - AI Consultant @ Scale.AI

NYU - Computer Science (Business Studies Minor)

📚 Education:

BA in Computer Science, New York University 📈 Projects @ NYU Courant:
Optimized fluid dynamics simulations using TensorFlow and CUDA, reducing computation time by 56%.
Developed neighborhood search algorithm using spatial hashing, increasing runtime efficiency by 35%

📈 Projects @ NYU Courant:

Optimized fluid dynamics simulations using TensorFlow and CUDA, reducing computation time by 56%.
Developed neighborhood search algorithm using spatial hashing, increasing runtime efficiency by 35%.

🚀 Currently working on:

Leading an independent research project under the guidance of Professor Kayar, aiming to publish on AI's impact on fluid simulations.

📫 How to reach me:

LinkedIn Profile

🔭 Languages, Frameworks, and Tools

sik247's Projects

0-git-workflow-practice-jladrover

0-git-workflow-practice-jladrover created by GitHub Classroom

1-specification-exercise-crb623-egp3221-sik247-cl5664

SWE-Project1

blackandscholes

NYU Hack 2023 - Black and Scholes (Option Price)

An end-to-end data engineering pipeline that orchestrates data ingestion, processing, and storage using Apache Airflow, Python, Apache Kafka, Apache Zookeeper, Apache Spark, and Cassandra. All components are containerized with Docker for easy deployment and scalability.

equity.ai

Application Providing Leverage for Retail Investors by Providing Tested ML Models

future-predictor

GPA Calculator

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

generative_deep_learning_2nd_edition

The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.