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  • NYU
  • Santa Clara, CA
  • 19:08 (UTC -08:00)

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sahilfaizal01/README.md

Hi 👋, I'm Sahil Faizal

Software Engineer | Data Scientist | Machine Learning Engineer | Applied Researcher

Prev. ML @ Johnson and Johnson, Samsung Research, IBM, A*STAR, NTU, NYU

sahilfaizal01

sahilfaizal01

  • 🌱 I’m currently learning Generative AI

  • 👯 I’m looking to collaborate on Data Science, Software Engineering, and Machine Learning Projects

  • 👨‍💻 All of my projects are available at https://rb.gy/dchftx

  • 💬 Ask me about Data Science, Machine Learning and Computer Vision

  • 📫 How to reach me sahilfaizal0704@gmail

  • 📄 Know about my experiences https://rb.gy/palxnr

  • ⚡ Fun fact I am born a cinephile and an explorer"

Connect with me:

sahil-faizal-1a66b2195 sahil_faizal2001

Languages and Tools:

android arduino aws azure bootstrap c cassandra cplusplus css3 django figma flask flutter gcp git hadoop heroku html5 java javascript kotlin linux mariadb matlab mongodb mssql mysql nodejs opencv oracle pandas php postgresql postman python pytorch qt scikit_learn seaborn sqlite tensorflow

sahilfaizal01

 sahilfaizal01

sahilfaizal01

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  1. gcivil-nyu-org/INET-Monday-Fall2023-Team-3 gcivil-nyu-org/INET-Monday-Fall2023-Team-3 Public

    TypeScript 2 4

  2. Kaggle-Contest---Fine-tuning-Llama-3.1-LLM- Kaggle-Contest---Fine-tuning-Llama-3.1-LLM- Public

    We used the Llama-3.1 8B (LLM) model to verify math problem solutions via Supervised Fine-Tuning (SFT). The goal was to assess whether the provided answer to each question was correct.

    Jupyter Notebook 1

  3. Evaluating-the-Performance-of-Episodic-Transformer-Memory-PPO-vs.-Traditional-Transformer-PPO Evaluating-the-Performance-of-Episodic-Transformer-Memory-PPO-vs.-Traditional-Transformer-PPO Public

    Designed and implemented an Episodic Transformer Memory (ETM) framework on a Transformer-XL backbone to enhance long-term memory retention in reinforcement learning (RL) agents for partially observ…

    Python

  4. Large-Scale-Vector-DB Large-Scale-Vector-DB Public

    This project focuses on developing a scalable vector database system optimized for dense passage retrieval, leveraging the MS-MARCO v2 dataset containing 8.84 million passages. Using advanced big d…

    Python

  5. Amaze-Sales-Data-Analysis Amaze-Sales-Data-Analysis Public

    A data analysis project using MySQL and Tableau

    1

  6. RagHub RagHub Public

    LLM-RAG solutions for various usecases

    Jupyter Notebook 1