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

  • πŸ”­ I’m a very curious and passionate ML/DL Engineer.
  • 🌱 I’m mostly an NLP practitioner with experience in language models.
  • πŸ‘― I’m very passionate and up-to-date with the large language models field.
  • πŸ€” I’m also researching and working on Quantum Machine learning.
  • πŸ’¬ Ask me anything about ML/DL, I am a very enthusiastic communicator
  • πŸ“« How to reach me: πŸ‘† Click on the icons below on which you want to reach out

instagram Β  telegram Β  mail facebook

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

instagram instagram instagram instagram instagram



πŸ‘† My portfolio website:

instagram




βš™ My technological stack of experience


tensorflow Β  scikit_learn Β  seaborn Β  pytorch Β  pandas Β  NumPy Spark Matplotlib Β  Github

seaborn seaborn seaborn Β  seaborn Qiskit Langchain seaborn Β  seaborn seaborn

Jupyter Notebook Β  React Β  postgres JavaScript Β  git Β  Docker Β  Node Β  MongoBD Β  python




πŸ“– Education

Bachelors 4th year, Majors: Data Science & AI




πŸ›οΈ University

IU
Innopolis University, Tatarstan, Russia




πŸ’» 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 β†’ 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

Jayveersinh Raj's Projects

Jayveersinh Raj doesn’t have any public repositories yet.

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