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  • Gurgaon, Haryana
  • 02:36 (UTC +05:30)
  • Joined Jan 9, 2025

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Hello 👋🏽 I'm Aditya Pathak!

I'm Aditya Pathak (also found here), a Gen-AI Intern at Cubastion Consulting.
I joined the Vatika Business Park office in Gurgaon on January 2nd, 2025.

January

S. No. Project Name Project Description
1 Company Database APIs This project uses Python (Flask-SQLAlchemy), PostgreSQL (PgAdmin 4) and Postman (for API Testing) to enable CRUD functionality and more for a database 'Company', with many tables and constraints in those tables.
2 faceMatching This project, developed with VS Code, Jupyter Notebook and Google Colab, uses Python (Flask, Pytorch, face_recognition, and more) and Postman (for API Testing) to develop two implementations of recognizing human faces, particularly those present in the LFW dataset and Indian Actors Dataset (both available on Kaggle).
3 Milvus Querying This project uses Python, Hugging Face (sentence-transformers), Milvus + Docker (container running Vector DB) to create a vector database, populate it with details of many people (names, ages, salaries, addresses and their introductions) and enable searching and querying on the database contents using Cosine-Similarity distances on IVF Flat index.
4 Cubastion HR Chatbot Presenting, Cubastion's HR chatbot - it can answer queries based on all the latest HR documents published by Cubastion's HR team. This conveniently saves time, allowing a Cubastion employee to resolve their query without having to comb through the actual documents.
Developed with Python, sentence-transformers, Pinecone, llama3.2, and Streamlit.

Pinned Loading

  1. cubastion-hr-chatbot cubastion-hr-chatbot Public

    Presenting, Cubastion's HR chatbot - it can answer queries based on all the latest HR documents published by Cubastion's HR team. This conveniently saves time, allowing a Cubastion employee to reso…

    Python 1

  2. Milvus-Querying Milvus-Querying Public

    This project uses Python, Hugging Face (sentence-transformers), Milvus + Docker (container running Vector DB) to create a vector database, populate it with details of many people (names, ages, sala…

    Python 1

  3. faceMatching faceMatching Public

    This project, developed with VS Code, Jupyter Notebook and Google Colab, uses Python (Flask, Pytorch, face_recognition, and more) and Postman (for API Testing) to develop two implementations of rec…

    Jupyter Notebook 1

  4. Company-Database-APIs Company-Database-APIs Public

    This project uses Python (Flask-SQLAlchemy), PostgreSQL (PgAdmin 4) and Postman (for API Testing) to enable CRUD functionality and more for a database 'Company', with many tables and constraints in…

    Python 1