About

Operating at the intersection of research and applied systems engineering

Rahul Kashyap operates at the intersection of academic research and applied systems engineering. His work spans continual learning, generative AI, and health technology, building open-source tools and deploying machine learning systems in production across academia, startups, and enterprise environments.

Position

DIT Candidate, Information Technology

Affiliation

Arizona State University

Location

Tempe, AZ

Framework

Research

Continual learning
Generative AI
Health technology
Machine learning systems
Personalized feedback

Build

Open-source libraries
Full-stack AI products
Cloud infrastructure
Real-time ML pipelines
Technical architecture

Direction

Translational research
Product strategy
Systems design
Applied innovation
Leadership trajectory

Technical Proficiency

Programming

Python
Java
JavaScript
HTML
CSS

ML & AI

Continual Learning
Generative AI
Deep Learning
YOLO-NAS
NLP
LLMs
Prompt Engineering
PyTorch
Keras
LSTM
ResNet-50

Frameworks

FastAPI
Flask
Django
Flutter

Cloud & DevOps

AWS
Azure
Docker
Heroku
CI/CD

Databases

SQL
NoSQL
MongoDB
PostgreSQL

Tools

Git
Jira
OpenAI API
Agile/Scrum
Data Visualization

Education

Aug 2024 – Present

Doctorate in Information Technology (DIT)

Arizona State University

Dissertation: AGNI: Continual Learning Framework for Blood Glucose Prediction. Research Focus: Continual Learning, Generative AI, ML in Healthcare.

May 2024

Honors M.S., Information Technology

Arizona State University

GPA: 4.0/4.0 · Dean's List · Coursework: Machine Learning and Data Science.

May 2023

Honors B.S., Information Technology

Arizona State University

GPA: 4.0/4.0 · Dean's List · Outstanding Graduate, Fulton 50.

Languages

English

Full Professional

Hindi

Full Professional

Kannada

Native

Spanish

Professional Working