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1nathankong/README.md

About Me

  • I previously worked as a Software Engineer Intern at Hexagon ALI
  • Interests in AI, hardware-software co-design, and LLM optimization
  • Focusing on transforming complex algorithms between software and hardware platforms

Featured Projects

Triton Kernel FlashAttention Optimization

Explored memory-bounded attention scaling and benchmarked long-context inference performance using Triton kernels.

  • Tech Stack: Python, Triton, CUDA
  • Focus: LLM optimization, memory efficiency

Elevator Controller:

Converted Python elevator control algorithm to Microcontroller hardware implementation.

  • Tech Stack: Python, C++
  • Focus: Hardware-software co-design

NBA Game Prediction System

A comprehensive machine learning system for predicting NBA game outcomes using advanced statistical analysis and news sentiment data.

  • Tech Stack: Python, XGBoost, LightGBM, VADER, TextBlob, ESPN API
  • Focus: Sports analytics, ensemble ML, sentiment analysis

Corporate Disclosure Insight System

Developed SEC EDGAR filing analysis workflow to reduce manual review using local LLM inference.

  • Tech Stack: Python, LLM, BeautifulSoup, FastAPI
  • Focus: Document analysis, agentic workflows

Real Estate Property Ranking Platform

Created property evaluation system using APIs and statistical modeling.

  • Tech Stack: Python, Pandas, API Integration
  • Focus: Data analysis, statistical modeling

GitHub Activity

Top Langs

Connect with me

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  1. gpt_attention_project gpt_attention_project Public

    FlashAttention exploration with small LLM's

    Jupyter Notebook 1

  2. personal_site personal_site Public

    Personal Website

    HTML

  3. nba_game_prediction nba_game_prediction Public

    getting team statistics, game stats, and news setiment to predict game end result

    Python