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About Me

Greetings! I'm Yash Saxena, a final year undergraduate student in India, specializing in Computer Science and Engineering with a focus on Artificial Intelligence and Machine Learning. I'm deeply passionate about research and eager to collaborate with esteemed professors in the field. Currently, I'm engaged in remote research internships, exploring the frontier of Large Language Models (LLMs) at the Artificial Intelligence Institute, University of South Carolina (AIISC). With prior experience in data science, NLP, and application development, gained from roles at Stareout Games, Celebal Technologies and HCLTech, I bring a diverse skill set to the table. My commitment to innovation has been recognized through awards like winning the UNESCO India Africa, Smart India Hackathon. Let's join forces and drive impactful research forward together.

Experience

Aug, 2023 - Present

Remote Research Intern

Artificial Intelligence Institute, University of South Carolina (AIISC)

  • Working on LLMs using libraries like Langchain, LLAMA Index
  • Conducting research experiments on different LLMs like GPT-4, LLAMA-2, Mistral 7b and more using HuggingFace
  • Built a web scraper to construct the main dataset of the ongoing research
Jan, 2024 - Mar, 2024

AI Engineer Intern

Stareout Games

  • Built a pipeline incorporating Large Language and Image Generation Model to bring game ideas to life
  • Fine-Tuned Large Language and Image Generation Models
  • Worked with python libraries like Langchain, Ntscraper, Streamlit , and many more
May, 2023 - Jul, 2023

Data Science Intern

Celebal Technologies

  • Worked with large datasets, performed data pre-processing and extracted relevant features tailored to specific use cases
  • Worked on NLP (Natural Language Processing) problems, built client specific applications using libraries like spacy
Nov, 2022 - Jan, 2023

Intern

HCLTech

  • Developed a Python-based Web app using spacy and streamlit libraries to extract text from resumes
  • Created a web app that allowed users to filter resumes according to their specific requirements

Projects

Project 1

Emotion Based Mental Health Classifier

  • Created a Mental Health Classifier which can detect and classify the mental state of a person into 3 categories namely Healthy, Moderate and Bad.
  • Utilized DeepFace, K - means clustering and Support Vector Classifier algorithms to achieve the same
GitHub Link
Project 2

Twitter & Linkedin assisted Email Generation

  • A Webapp that scrapes the data from the Twitter & Linkedin feed of a user and assist the LLM in generating user specific emails
  • Provides context to the LLM using the user's feed, generates job seeking and business collaboration emails
  • Used python libraries like Ntscraper, Langchain, RapidApi, Streamlit etc.
GitHub Link

Research Work

📃 Published

📄 Communicated

📝 Working

🏆 Awards and Recognitions

2022

2023

Contact

Email ID : yashsaxena2111@gmail.com