Customer Success Engineer — IBM · Cambridge, MA
Bridging technical depth and customer impact.
NYU Computer Science graduate. A background in backend development, data engineering, and scalable systems — now applied to 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 an end-to-end data pipeline with Kafka and PySpark processing 8,000+ crisis posts per hour from multiple APIs. Optimized Spark workflows, cutting runtimes by 35% through in-memory caching, and designed MongoDB schemas that reduced query latency by 50%.
Analyzed 17,000+ campus mobility records to identify emission-reduction opportunities for the NYU sustainability team. Built four interactive D3.js visualizations enabling real-time scenario exploration.
Led a four-developer team through twelve agile sprints, reaching 92% user satisfaction among beta testers. Built the Django backend and deployed to AWS, improving service-location speed by 87%.
View all projects on GitHub →
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.
Settled into my role at IBM — but always happy to talk with interesting people about tech, data, or an exceptional opportunity.