I am a PhD candidate in AI and Machine Learning at New Jersey Institute of Technology,
with a 4.0 GPA and a research focus on intelligent systems that bridge the gap between
cutting-edge ML and real-world deployment.
My work spans probabilistic deep learning, agentic AI systems,
and retrieval-augmented generation (RAG) pipelines. I have built and deployed
end-to-end ML workflows on datasets exceeding 700,000 observations, achieving state-of-the-art
results (R² = 0.986) through rigorous feature engineering and Bayesian hyperparameter optimization.
As the Entrepreneurial Lead of the NSF I-Corps SmartComfort startup (awarded $53,000),
I combine deep technical expertise with product thinking — translating research into systems
that solve real problems at scale.
Deep Learning & Forecasting
LSTM, Transformer, CNN-LSTM, Quantile Regression
Agentic AI & LLM Systems
Multi-agent pipelines, RAG, OpenRouter, ChromaDB
End-to-End ML Engineering
Data pipelines, model deployment, drift monitoring
