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Jayveersinh-Raj/README.md

Hi there instagram

✨ I am Jayveersinh Raj, but you can call me Raj ✨

  • 🔭 I’m a very curious and passionate ML/DL Engineer.
  • 🌱 I’m mostly an NLP practitioner with experience in language models.
  • 👯 I’m very passionate and up-to-date with the large language models field.
  • 🤔 I’m also researching and working on Quantum Machine learning.
  • 💬 Ask me anything about ML/DL, I am a very enthusiastic communicator
  • 📫 How to reach me: 👆 Click on the icons below on which you want to reach out

instagram   telegram   mail facebook

  • ⚡ Fun fact: I love pokemons, and I play Pokemon Go sometimes. Below is my pokemon team 👇, please contact me if you too love Pokemons

instagram instagram instagram instagram instagram



👆 My portfolio website:

instagram




⚙ My technological stack of experience


tensorflow   scikit_learn   seaborn   pytorch   pandas   NumPy Spark Matplotlib   Github

seaborn seaborn seaborn   seaborn Qiskit Langchain seaborn   seaborn seaborn

Jupyter Notebook   React   postgres JavaScript   git   Docker   Node   MongoBD   python




📖 Education

Bachelors 4th year, Majors: Data Science & AI




🏛️ University

IU
Innopolis University, Tatarstan, Russia




💻 Some of the big projects undertaken and experience

Machine learning and AI

  1. IOT-based anomaly detection
  2. Console-based AI bot
  3. Backend developer for IT department of Innopolis University
  4. Cognizant virtual internship in AI (March 2023)
  5. Timing attack based on Evolutionary algorithms (Proof of concept)
  6. Spice Company scheduling optimization
  7. Tennis tournament betting company forecasting for betting company in data mining
  8. Ratings forecasting for airbnb and similar companies.

Natural Language

  1. Diaster detection with NLP on news and tweets
  2. Creating a natural language preprocessing pipeline for the autoML library Tpot that uses genetic programming.
  3. Cross lingual zero-shot transfer (toxicity → done working on other derivatives) being trained on singular language data like English, can infer on any arbitrary language.
  4. Gujarati Grammarly (Grammarly for low-resource language)
  5. Vector space aligner for Sanskrit for there are nonexisting vector space aligner for this low-resource ancient language.
  6. Using langchain for agents, prompt engineering, using vector databases to eliminate retraining of LLMs
  7. Working knowledge of various alternatives of fine tuning LLMs.
  8. Code generation/analysis research using LLMs with Advanced Engineering School (AES)

Computer Vision

  1. Bounding box object detection using detectron2, and yolov8 while annotating from roboflow
  2. Segmentation using detectron2, and yolov8 while annotating from roboflow
  3. Digits recognition from triple-mnist custom datatset

Pinned

  1. tpot tpot Public

    Forked from EpistasisLab/tpot

    A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

    Python 1

  2. code_generation_gpt2 code_generation_gpt2 Public

    Fine tuning a gpt2 model for code generation/completion. This is the work under Advanced Engineering School (AES) Innopolis University. Data and model is not open source, the prototyping is for lea…

    Python 4

  3. Cross_lingual_abuse_detection Cross_lingual_abuse_detection Public

    Forked from SyrexMinus/cross_lingual_nlp

    In this work we applied multilingual zero-shot transfer concept for the task of toxic comments detection. This concept allows a model trained only on a single-language dataset to work in arbitrary …

    Jupyter Notebook 3

  4. ncf_recommender_system ncf_recommender_system Public

    Neural collaborative filtering recommendation system on Movie lens 100k dataset

    Jupyter Notebook

  5. text-detoxification text-detoxification Public

    Text detoxification solutions for practical deep learning and machine learning assignment fall 2023 offered at Innopolis University Data Science and AI Bachelors 4th year.

    Jupyter Notebook

  6. SyrexMinus/cross_lingual_nlp SyrexMinus/cross_lingual_nlp Public

    In this work we applied multilingual zero-shot transfer concept for the task of toxic comments detection. This concept allows a model trained only on a single-language dataset to work in arbitrary …

    Jupyter Notebook 1