compute and infrastructure and security etc.

• Developing cloud-based (AWS) quant analytics workload platform built on top of Kubernetes

• Developed Kubernetes CRDs + controllers (Go) managing Jupyter workloads/user identity lifecycles

• Developed permissioning, feature gating, and identity management mechanisms (Python, Go, Helm), enabling smoother rollouts/rollbacks and reducing engineering interventions

• Presented talk at Kubecon EU 2023: Used Cilium alongside Cloud Identity Federation (AWS STS, IAM, OAuth) to build quant development environments with restricted egress and intermediate storage (AWS S3, Terraform)

• Built UI (Typescript), Mamba wrappers, and optimized image building for managing/sharing custom workload runtime environments (one of the earliest marketed BQuant Enterprise features)

• Optimized Kubernetes admission webhooks to ensure stability for rapidly growing product

• Developed API Facading tool (Python) to expose microservice calls as RESTful APIs

EAAMO (formerly MD4SG) is a multi-institutional initiative bringing together researchers and practitioners from over 130 institutions in 50 countries. We take an interdisciplinary approach -- using insights from computer science, social sciences, and humanistic studies as well as collaborations and partnerships with domain experts and impacted communities -- to help improve access to opportunity. We focus on a range of domains from inequality to climate and energy to data economies and civic participation.