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
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