Career

experience

A record of professional roles, academic appointments, and practitioner community involvement in quantitative finance and data engineering.

Professional History
May 2026
Present
Current

junior ai engineer

Slopeside Strategy · New York, NY

  • Design and build agentic AI automation tools that streamline complex analytical workflows for financial professionals, reducing manual overhead in data-intensive research processes.
  • Architect multi-step LLM pipelines capable of autonomous reasoning over structured financial data — from query formulation through output synthesis and formatting.
  • Evaluate and integrate emerging AI frameworks for production readiness, balancing capability against reliability and auditability requirements in a financial context.
  • Collaborate directly with domain experts to translate qualitative workflow requirements into reproducible, testable automated systems.
Summer
2025

data & analytics intern

Rearc · New York, NY

  • Built a production Databricks pipeline for ingesting and processing financial news articles and social media data, transforming unstructured text into structured Delta Lake datasets for downstream market signal analysis.
  • Applied NLP techniques including sentiment classification and named-entity recognition to extract quantitative signals from qualitative data sources — bridging the gap between textual market commentary and numerical factor models.
  • Designed the data schema and partitioning strategy for Delta Lake storage, ensuring query efficiency and auditability for iterative research workflows.
  • Authored a published technical article on Databricks' role in democratizing advanced analytics for business users — distributed through Rearc's practitioner network.
  • Attended the Databricks Data + AI Summit 2024 in San Francisco and the Data + AI World Tour 2024 in New York, directly integrating conference learnings into pipeline design decisions.
2023–
2026

data science building manager

Fordham University, Office of Student Involvement · New York, NY

  • Managed data, logistics, and multi-party workstreams supporting 170+ registered student organizations and their events, coordinating with students, university leadership, and external vendors under tight deadlines.
  • Redesigned the department's pin code management system from a nine-step manual process into a fully automated workflow with built-in email automation and self-cleaning logic, reducing manual processing time by ~80%.
  • Trained and oversaw 30+ staff members on operational procedures; enforced consistent processes across a high-volume, multi-stakeholder environment.
Education

fordham university

Gabelli School of Business · New York, NY

Degree

B.S. Finance

FinTech Concentration

GPA / Year

3.774

May 2026

Certification

Bloomberg BMC

2024

Certification

Alteryx Designer Core

2024

Practitioner Community

databricks data + ai

Four consecutive conference appearances as a practitioner — attending to learn, benchmark, and bring back applicable technique to active project work. Not a passive spectator role.

AI Days DC 2026

Washington, DC

Mar 2026

Data + AI World Tour 2025

New York City, NY

Jan 2025

Data + AI World Tour 2024

New York City, NY

Oct 2024

Data + AI Summit 2024

San Francisco, CA — Flagship Event

Jun 2024
Python pandas · NumPy · scikit-learn · XGBoost
SQL Databricks · Delta Lake · Spark
BBG Bloomberg Terminal · Excel VBA · Alteryx
C++ Git · Jupyter · BeautifulSoup