A comprehensive collection of mathematical tools and utilities designed to support Lean Six Sigma practitioners in their process improvement journey

💻 Workflow Data For Github Actions & Linux Server Testing of Lockdown Enterprise Content 💻

Data-driven computer-aided molecular and process design

Generative AI-based system for simulating industrial processes, enabling predictive maintenance, process optimization, and energy efficiency using GANs and IoT sensor integration

💻 Workflow Data For Github Actions & Windows Server Testing of Lockdown Enterprise Content 💻

Anki Flashcards for 3rd Year Courses

Evidence Based Decisions Using Big Data Analytics

This tool models and optimizes user tasks based on real-world behaviors. It transforms individual task models into unified, constraint-driven representations, using examples like Wordle to demonstrate its effectiveness. The tool visualizes task flows for better design and efficiency.

QA test case simulating AWS Support workflow automation for MFA removal. Includes bug documentation, test cases, and efficiency analysis built from SME-level experience in account security.

Repositorio para los códigos de GAMS usados en el curso de Optimización de Procesos.

This presents my portfolio of services and skills.

A Python web app using Streamlit & PuLP for ILP-based production scheduling. Maximizes profits by assigning products to machines, factoring in batch sizes, setup times, rates, costs, & demand. User-friendly, flexible, & ideal for manufacturing.

Tools and methodologies for packaging design verification and process optimization - achieved 20% cost reduction

A hybrid modeling framework combining neural networks with physics-based constraints for bioreactor process optimization and control.

This repository showcases a real improvement project in the compliance area (FCP). The workflow and business rules for one recurring operational process were redesigned and optimized in collaboration with other teams. The project took approximately 2–3 months and resulted in reduced manual workload, improved accuracy, and measurable FTE savings.

Research on leveraging reinforcement learning to optimize bioprocess parameters and improve efficiency in biological systems.

Personal portfolio of supply chain models built with Excel and Solver during my university course at Hofstra (New York). All files created by me.

Docs-as-Code CV | GenAI-driven process optimization | Clarity, collaboration & continuous improvement.