Driving Business Impact by Designing, Architecting & Building Generative AI Agents | AI Strategy & Product Leadership

Suneeta Modekurty • Peerlist

Author of The AI-Human Synergy: A Data Scientist’s Vision fo

Actively involved in leading bioinformatics, data science, and AI efforts with WashU oncologists to advance Clinical Oncology research [ORCID: 0009-0009-0579-7470]

Data Driven Cancer research

Anomaly Detection in Medical Images: Python, TF, and PyTorch
Skills: Machine Learning, Deep Learning, Data Augmentation, Image Augmentation
Description: Medical imaging is a critical field that allows healthcare professionals to see inside the human body to detect, diagnose, and treat diseases. It has revolutionized the field of medicine and improved the quality of healthcare delivery. However, the task of analyzing these images is still largely manual, requiring specialized knowledge and skill from radiologists. 
In this project, I built a deep learning model that automatically detects abnormalities in these images to save a significant amount of time and improve the accuracy of diagnoses.

Deep Learning project

Diabetes Likelihood prediction - predictive modeling - Lead

Chatbot with OpenAI GPT-3 using Flask
Skills: API Integration, Web Frameworks, Conversational Assistant
Project Description: GPT-3 is the third version of the Generative Pre-trained Transformer (GPT) series. It is a pre-trained neural network model used for producing human-like text. It has been trained by almost 570 GB of text information and consists of 175 billion parameters that require 800 GB of storage. The text generated by GPT-3 is of such high quality that it is challenging to distinguish it from that written by a human.
In this project, I created a chatbot in Flask. I integrated the GPT-3 API with the chatbot to get the responses to user queries along with maintaining a history of all API user queries and responses.

LLM Project - 1

Mental Health Counseling Chatbot Using Django and OpenAI
Skills: Machine Learning, Data Science, Natural Language Processing
Description: In this project I developed an intelligent chatbot for mental health counseling utilizing the power of OpenAI’s API, integrated seamlessly with the Django framework. The AI chatbot named SuMo provides a supportive, conversational interface to assist users with their mental health concerns by delivering thoughtful, relevant, and empathetic responses. By leveraging cutting-edge natural language processing (NLP) models from OpenAI, the chatbot was trained to engage in meaningful dialogue, offering guidance and resources in a user-friendly manner.