Customer Success Engineer
NYU Computer Science graduate bridging technical depth and customer impact. Background in backend development, data engineering, and scalable systems — now focused on helping enterprise customers succeed with complex technology.
Python, Java, SQL, C/C++
Django, Flask, MongoDB, AWS
PySpark, Kafka, pandas, NumPy
Technical Enablement, Solutioning, Stakeholder Communication
Built end-to-end data pipeline with Kafka and PySpark processing 8000+ crisis posts per hour from multiple APIs. Optimized Spark workflows reducing runtimes by 35% through in-memory caching and designed MongoDB schemas cutting query latency by 50%.
Analyzed 17,000+ campus mobility records to identify emission reduction opportunities for NYU sustainability team. Created 4 interactive D3.js visualizations enabling real-time scenario exploration.
Led 4-developer team through 12 agile sprints, achieving 92% user satisfaction among beta testers. Built Django backend and deployed to AWS, improving service location speed by 87%.
IBM
February 2026 – Present
Helping enterprise customers succeed with IBM's technology portfolio. Combining a technical background in backend systems and data engineering with a focus on customer outcomes, onboarding, and long-term partnership.
Adelphi University
November 2020 – May 2022
M.S. Computer Science, GPA: 4.0
May 2025
B.S. Computer Science, GPA: 3.9
May 2022 • Summa Cum Laude
I'm settled in my role at IBM but always happy to connect with interesting people — whether it's to talk tech, data, or an exceptional opportunity.