Constructed a robust AI Agent, integrating tools like RAGs, web scraping, and browsing functionalities. Leveraging the Langchain framework, the agent dynamically routes tools based on user queries.
Designed a sophisticated AI master agent capable of orchestrating multiple sub-agents to tackle complex reasoning challenges, employing the Crewai framework.
Developed a comprehensive RAG application with customized tools for specific retrieval tasks, such as text summarization and fact itemization. Powered by the Llama-Index framework, this application offers versatile functionality.
Each backend component features a user-friendly interface built with either Chainlit or Streamlit. The project's webpage is crafted using HTML and CSS, allowing users to seamlessly select the backend according to their task requirements.
I developed a POC RAG solution for a Mental Health startup using Langchain and Streamlit. The solution allows therapists to chat with their therapy session recording, improving their e ciency.
This project is ongoing: It involves the containerization of a Machine Learning API and deployment using Amazon Elastic Container Repository (ECR) and Amazon Elastic Container Service (ECS) respectively
This project includes a user-friendly Text Summarization App, a versatile Command Line Tool, and a Text Generation API. With continuous integration on Hugging Face Spaces
Developed a Vision Transformer model application for classifying food types. It utilizes the Gradio Web Interface. Interactive app is available on hugging face
Scripted an application for sentiment analysis based on the RoBERTa model and using the Flask framework as API
Developed an application for collecting data and storing within a database using the FastAPI framework as API
Created a repository containing training notebooks and scripts for ML, MLOps and Data Science
Scripted a wind turbine SCADA data filtration algorithm for cleaning out outlier or faulty wind turbine data.