Intent-driven energy orchestration platform for coordinating distributed energy assets through state, intent, policies, and constraints.
Implementation of multiple ML models and suggestions using LLMs for energy efficiency predictions in buildings.
VICTOR (Variational Inference for Confined Tokamak Output Reconstruction) — A Physics-Informed Neural Network that reconstructs plasma emissivity on the WEST Tokamak in ~0.5ms, trained entirely without ground-truth labels. Enabling real-time fusion reactor diagnostics and disruption prevention.
Distributed smart microgrid simulation using Node.js and gRPC. Implements all 4 RPC types (Unary, Client/Server/Bi-di streaming) with service discovery and a web-based GUI.
Preliminary Period ; Lead coder of these using Tableau, Tableau Prep Builder, and Python using Jupyter Notebook environment Having EDA, building charts and visualizations using US EPA dataset spanning from 1975 to preliminary 2024 ; Contributors on Analysis : Valles James, Rodelas John
Enhancing rural energy grids: resilient design, anomaly detection, sustainability
A web app that helps users discover eco-friendly recipes and calculate the environmental impact of their meals to promote sustainable cooking practices.
Exploratory data analysis of historical U.S. EPA automotive trends (1975–2024) examining vehicle weight, horsepower, fuel efficiency, and CO2 emissions using Python and Tableau.
⚙️ Enhance task resilience in unstable environments with this Java-based framework that manages execution failures and protects resources through smart design patterns.
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