Aryan Jadon
Research Scientist in AI at San Jose State University
California, United States
Summary
👤
SeniorAryan Jadon is a Senior Software Engineer and AI researcher with a decade of experience building production-grade ML and data infrastructure across networking and enterprise SaaS. With an MS from San José State University and a track record at Juniper Networks and Hewlett Packard Enterprise, he has delivered AutoML, few-shot learning, generative AI, and large-scale time-series forecasting systems while optimizing LLM evaluation pipelines and MLOps tooling. He combines deep applied research—model-agnostic meta-learning and multimodal few-shot techniques—with practical engineering such as containerized orchestration, observability, and prediction services for resource optimization. Aryan is also a technical speaker and peer reviewer who cares about AI ethics and sustainability, bringing cross-disciplinary rigor to both R&D and production deployments. An understated strength is his ability to translate advanced research into reusable, maintainable platform components that speed model iteration and lower operational risk.
10 years of coding experience
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (39)
loss-functions10
time-series-forecasting10
python9
time-series9
forecasting9
keras9
forecast9
deep-learning8
recommender-system8
tensorflow8
pyspark8
machine-learning8
pytorch8
transformers8
recommendation-system7
Programming languages (5)
Github contributions (5)
aryan-jadon/Regression-Loss-Functions-in-Time-Series-Forecasting-Tensorflow
Sep 2022 - Jan 2023
This repository contains the implementation of paper Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting with different loss functions in Tensorflow. We have compared 14 regression loss functions performance on 4 different datasets.
Contributions:3 releases, 50 commits, 43 pushes in 3 months
loss-functionstensorflowtime-series-forecastingdeep-learningforecasting
aryan-jadon/Synthetic-Data-Generation-in-Healthcare-Using-Generative-AI
May 2023 - Feb 2025
This repository contains the summary of the research papers and book chapters referenced in our research paper - Leveraging Generative AI Models for Synthetic Data Generation in Healthcare: Balancing Research and Privacy
Contributions:2 releases, 7 pushes, 1 branch in 1 year 9 months
generative-aisynthetic-data
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.