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Situation:
While working on the CloudGate (CASB) program at Oracle, I had to collaborate closely with a lead engineer who was highly technical but often resistant to input from non-engineering stakeholders, including program managers like myself.

Task:
Our shared goal was to integrate CloudGate’s policy engine with a third-party SaaS provider under tight deadlines for a compliance milestone. Coordination was critical, but communication friction risked delaying delivery.

Action:
I focused on building mutual respect by first acknowledging his technical expertise and then shifting our interactions to be data- and goal-driven. Instead of pushing process, I came to discussions with clear risk/impact scenarios and timelines tied directly to customer and audit deadlines. I also adapted my style—fewer meetings, more async updates with technical clarity—which matched his preference. Gradually, we established a working rhythm built on outcomes, not personalities.

Result:
We delivered the integration on time, passed the compliance audit, and by the end of the project, had built enough trust that he started proactively surfacing risks to me before I had to ask. The experience reinforced for me that adapting communication style and focusing on shared goals is often more effective than trying to change personalities.

I see myself working at the intersection of engineering and quantitative finance ideally at a hedge fund such as Two Sigma. My past experiences at Harvard Medical School and internships at MITRE/rapStudy have given me an interest in creating scalable systems that are high performant and capable of ingesting large amounts of data for model development and research.  I strongly believe Two Sigma is the perfect place for me to work on these highly technical projects. Additionally, I also look forward to the prospect of entering leadership roles during my career, where I can play a more impactful role in prioritizing cultivation of engineering talent and projects in fields such as low-latency and data engineering.