Justin Mae Email & Phone Number

Seattle, Wa, Us

• Pioneered a 2-week patching cycle for EMR's control plane, realigning with AWS's stringent 4-week SLAs; this initiative automated patch management, yielding a yearly reduction in manual engineering workload by up to 6 weeks, thereby bolstering the security posture of EMR clusters.• Revamped EMR's deployment methodology with a custom AWS Cloud Development Kit (CDK) pipeline, cutting down deployment time from several weeks to minutes, enhancing scalability, and ensuring uniformity in configurations across regions.• Spearheaded a cross-functional initiative to develop a Generative AI tool to enhance knowledge discovery for EMR engineers and the customer support team. Utilized Large Language Models and Retrieval-Augmented Generation (RAG) to expedite documentation retrieval, significantly shortening new engineer onboarding and boosting support team efficiency in customer query resolution. Led the integration of stringent authentication and authorization protocols to reinforce data governance and ensure industry-standard compliance.

Seattle, Wa, Us

• Designed and implemented a warm pool service that slashed private subnet cluster start times by 30%, from 8 to 5.5 minutes, enhancing customer experience and cluster efficiency by utilizing pre-provisioned EC2 instances.• Led the EMR proxy replacement process overhaul using a warm pool system, achieving a 65% drop in P90 latency (from 170 to 60 seconds) and bolstering customer experience by minimizing downtime and enhancing cluster communication reliability.• Revamped the EC2 proxy instance provisioning process, resulting in a 10.5% improvement in P99 launch times (from 57 to 51 seconds) and the elimination of capacity errors, thereby increasing the reliability of private subnet cluster provisioning.

New York, New York, Us

Lecture two recitations of 80 students and lead 4 hours of office hours per week

New York, New York, Us

Lecture two recitations of 70 students and lead 4 hours of office hours per week

Nashville, Tn, Us

• Accelerated the growth of alternative investment allocation for $97B total asset under management (AUM) from 12% to 17% over 4 years, by innovating an investment allocation tool and introducing new risk metrics that informed portfolio recommendations for clients.

Nashville, Tn, Us

• Designed and implemented a data loading pipeline in SQL that strategically combined multiple data sources to work with a single loader. With my in-depth knowledge about the problem and outside-the-box thinking, I proposed and implemented a solution that increased team efficiency by 12.5%.

• Conceptualized and developed an allocation tool in VBA that automated the process of allocating daily trades across client accounts. In addition, I developed data pipelines between accounting and analytics systems and automated reporting, which increased team efficiency by over 20%.

Master Of Science - Ms, Computer Science

Micromasters, Artificial Intelligence

Postbaccalaureate Studies, Mathematics

B.S. Management, Financial Engineering

Education record