Engineering Case Studies

Strategic technical initiatives delivered at enterprise scale.

Hyperscale ML/Search Platform at Adobe

Architect & Technical Leader.

Adobe's Core Search and Sensei platform serves as the intelligence layer behind flagship products, processing 30B+ daily requests.

The Challenge

AI/ML workloads were outgrowing the existing infrastructure, creating scaling, latency, and cost challenges.

Constraints: Sub‑5ms P95 latency, strict data governance, and legacy systems that couldn’t be disrupted.

Strategic Solution
  • Designed a hybrid GPU/CPU architecture across AWS, Azure, and on‑prem HPC.
  • Optimized NVIDIA clusters using RDMA InfiniBand, MIG, and Volcano scheduling.
  • Unified fragmented Kubernetes environments into a multi‑tenant platform.
Impact & Metrics
  • Multi Billion requests, GPU utilization +38%
  • Supported 30B+ daily API requests with >99.98% availability.
  • Increased GPU utilization by 38% through smarter scheduling.
  • Reduced cloud storage costs by 65% with tiering and lifecycle policies.
Key Lessons
  • GPU-aware scheduling is the difference between expensive hardware and efficient hardware.
  • Hybrid cloud is complex, but it unlocks elasticity and cost control at hyperscale.
AI/ML HPC Kubernetes

Global SRE Operating Model at F5

Sr. Director of Product Engineering & Head of SRE.

F5’s Distributed Cloud platform powers global multi‑cloud networking and security for enterprise customers.

The Challenge

Silos, inconsistent incident response, and burnout were slowing down a platform facing explosive traffic growth.

Constraints: 24/7 global operations, strict compliance (FedRAMP, PCI‑DSS), and security‑critical workloads.

Strategic Solution
  • Rebuilt SRE into a follow‑the‑sun model with clear ownership and escalation paths.
  • Implemented policy‑as‑code and zero‑trust architecture across the platform.
  • Modernized observability with ML‑driven anomaly detection and unified tracing.
Impact & Metrics
  • 55+ engineers, MTTR −73%
  • Reduced MTTR by 73% and improved incident consistency.
  • Lowered attrition by 10% by eliminating hero culture.
  • Absorbed 400% growth in attack traffic without degradation.
Key Lessons
  • Culture eats tools for breakfast — fix trust and clarity first.
  • Compliance-as-code is the only sustainable path at enterprise velocity.
SRE Transformation Compliance

Platform Modernization & FinOps at Arkose Labs

Director of Engineering & SRE.

Arkose Labs fights fraud at internet scale, requiring real‑time decisioning under unpredictable attack traffic.

The Challenge

Cloud spend was rising faster than revenue, and technical debt was slowing delivery.

Constraints: High‑volume DDoS traffic, strict latency SLAs, and rapid enterprise growth.

Strategic Solution
  • Re‑architected the platform into EKS microservices with an eBPF service mesh.
  • Established FinOps governance, dashboards, and cost‑aware engineering practices.
  • Introduced SLO‑based release gates to balance reliability and velocity.
Impact & Metrics
  • 22% cloud spend reduction
  • Reduced cloud spend by 22% while supporting 7x transaction growth.
  • Maintained 99.9% SLA even during attack spikes.
  • Improved release quality and reduced customer‑impacting incidents.
Key Lessons
  • FinOps only works when engineering owns the cost model.
  • eBPF unlocks observability without the tax of sidecars.
FinOps Modernization eBPF

Enterprise CI/CD & Platform Modernization at Macys.com

Architect & Technical Leader.

Macy’s needed a modern deployment platform to support rapid retail innovation and peak‑season reliability.

The Challenge

Deployments were slow, manual, and risky — causing downtime during revenue‑critical periods.

Constraints: High‑traffic retail workloads, legacy on‑prem systems, and multi‑cloud fragmentation.

Strategic Solution
  • Built a modern CI/CD platform using Jenkins, Spinnaker, and Kubernetes.
  • Implemented blue‑green and canary strategies for safe, incremental rollouts.
  • Designed a hybrid cloud architecture across GCP, AWS, and VMware Tanzu.
Impact & Metrics
  • Near-zero downtime releases
  • Achieved near‑zero downtime releases across the e‑commerce stack.
  • Cut deployment time from days to under an hour.
  • Enabled consistent workloads across hybrid environments.
Key Lessons
  • Standardized pipelines are the backbone of developer velocity.
  • Canary releases are non‑negotiable for retail reliability.
CI/CD Kubernetes Hybrid Cloud

Early Career of Engineering

Various Engineering Roles (2004-2016).

Engineering roles at Workday, Chegg, RocketFuel, Adobe, and others.

The Challenge

Building early distributed systems during a period of rapid cloud evolution.

Constraints: Fast‑moving product requirements and emerging cloud technologies.

Strategic Solution
  • Built and scaled early SaaS and distributed systems.
  • Developed deep expertise in reliability, performance, and platform design.
Impact & Metrics
  • Foundational Distributed Systems
  • Delivered core components for high‑growth SaaS products.
  • Maintained and evolved cloud‑native systems across multiple companies.
  • Mentored engineers and led technical initiatives.
Key Lessons
  • Distributed systems fundamentals stay constant — the ecosystem around them evolves.
Distributed Systems SaaS