ML / AI Engineer · Data Science
I design and deploy agentic AI systems, from multi-agent orchestration pipelines & production-ready ML models to cloud-native applications, drawing on 6 years across cloud data engineering and applied machine learning.
Systems that turn data and AI into decisions.
A four-agent pipeline that screens resumes against job descriptions, with a dedicated Critic Agent running a bounded reflection loop to catch and correct weak evaluations before final output.
Fine-tuned BERT for financial sentiment classification on Financial PhraseBank, trained end-to-end on a single T4 GPU.
Customer segmentation and demand forecasting built on RFM analysis, Auto-ARIMA time-series models, and Apriori-based market basket analysis.
A production-ready prediction service with a served model, experiment tracking, and a relational store for inference logging.
A classification model predicting passenger satisfaction from flight and service-quality features, with model comparison and evaluation.
A CTE-based composite risk scoring model built in Snowflake, framed in feature-engineering terms for fraud pattern detection over transactional data.
Data analysis on EV adoption and sales trends, charging efficiency, and environmental impact, delivered through interactive Power BI dashboards for data-driven decision-making.
A benchmark of multiple classification algorithms for predicting customer churn, compared across accuracy, precision, and recall.
A hands-on SAP ERP simulation covering procure-to-pay and order-to-cash business processes in a live enterprise system.
A from-the-ground-up walkthrough of linear regression, covering assumptions, diagnostics, and model evaluation.
Building multi-agent pipelines, RAG systems, and LLM-based classification tools under faculty research supervision, alongside an M.S. in Computer Information Systems.
Cloud infrastructure, data engineering, and client engagement, partnering directly with stakeholders on key technical decisions. Delivered CI/CD automation, API development, application migrations, and large-scale financial data pipeline improvements.
Foundational coursework in data structures, algorithms, databases, and software engineering.
Open to AI/ML Engineer and Data Scientist roles.