Private Funds Data Acquisition

Architected and spearheaded a deployment automation pipeline for internal microservices using Python, SQL, Kubernetes, and in-house tools, reducing turnaround time from 3 months to under 3 minutes.

Led the construction and design of an APM (application performance monitoring) infrastructure using Prometheus and Grafana on a Linux-based system, boosting software development team’s productivity by 40%.

Designed optimization algorithms for large-scale penalized quantile regression problems using alternating direction method of multipliers (ADMM) with lasso, elastic net, MCP, and SCAD penalties. Reduced computation time by 60% compared to previous work.

Built a scalable, fault-tolerant, and cost-efficient architecture with AWS ELK stack (Elasticsearch, Logstash, Kibana) for 20k scholarship data, resulting in a 5x improvement in search speeds and 70% reduction in costs.