
INDUSTRIAL AI / MACHINE LEARNING
INTELLIGENT PREDICTIVE MAINTENANCE
Predicting industrial machine failures using sensor data, physics-informed features, and machine learning.
AI ENGINEER / BUILDING INTELLIGENT SYSTEMS
HELLO, I'M
AI Engineer with a Master's in Artificial Intelligence from Florida Atlantic University. Building practical solutions in Machine Learning, Generative AI, and intelligent software systems.
Engineering the technology that powers modern AI.
With a Master's in Artificial Intelligence from Florida Atlantic University and a background in Electrical and Electronics Engineering, I combine analytical thinking with modern AI technologies.
My work spans Machine Learning, Generative AI, LLMs, and Retrieval-Augmented Generation — from predictive modeling to intelligent search and AI-powered applications.
I focus on developing reliable, useful systems that solve real-world problems and create meaningful impact.

A closer look at the problems, architecture, engineering decisions, and results behind my projects.

INDUSTRIAL AI / MACHINE LEARNING
Predicting industrial machine failures using sensor data, physics-informed features, and machine learning.

GENERATIVE AI / RAG / RETRIEVAL
An enterprise knowledge assistant combining semantic search, BM25 retrieval, LLM workflows, and APIs.
DATA ENGINEERING / BUSINESS INTELLIGENCE
A proposed event-driven platform for financial obligations, client projects, analytics, and forecasting.
From data and machine learning to language models, APIs, and intelligent applications.
From an initial idea to a dependable application, I connect data, models, and software engineering.
Clean datasets, engineer domain-aware features, and build reproducible data pipelines.
Train and evaluate ML models; connect embeddings, semantic search, and LLM workflows.
Serve models through FastAPI, containerize with Docker, and monitor system quality.
Retrieval-Augmented Generation, natural language processing, agent workflows, semantic search, and practical applications of large language models.
Predictive modeling, classification, forecasting, feature engineering, neural networks, and model evaluation.
Statistical reasoning, data preparation, SQL, visualization, and transforming complex datasets into actionable insights.
Backend development, API design, application architecture, cloud technologies, and containerized AI applications.
Research in power electronics and inverter system design, connecting my engineering foundation with analytical problem-solving.
READ PUBLICATION ↗Interested in opportunities across AI Engineering, Machine Learning, Generative AI, and intelligent software development.
I'm open to contributing to teams building useful and impactful technology.
