Staff-Level Software Engineer
15+ years building large-scale distributed systems. 6+ years at Meta architecting privacy compliance infrastructure that federates work across 2,300+ oncalls company-wide. Proven impact: 93%+ latency reductions, 50%+ operational savings, and company-wide process automation.
Platform engineer, privacy infrastructure architect, and engineering leader
I specialize in designing and delivering foundational systems at scale. At Meta, I've architected the Federation Platform's Scheduler, SLA-based processing, and capacity-based work allocation systems. I thrive at the intersection of technical depth and cross-functional leadership — turning ambiguous problem spaces into shipped products with measurable outcomes.
A track record of increasing scope and impact
Meta — RR&R: Reg Readiness (New York, NY)
Meta — RR&R: Reg Readiness
Meta — Federation Platform
Meta — Federation Platform
Meta — Federation Platform
Meta — Remediation Platform
Target Corporation — San Francisco, CA
Technical guidance on API integration, design patterns, and contract testing with Spring Cloud.
Wells Fargo — San Francisco, CA
Capital One — San Francisco, CA
Yelp · CME Group · Accenture · OpenStrides
Security & PII Detection, QA Automation, Telecom Systems (Telekom Austria/Vodafone), CRM Software
Quantified results from foundational systems
▲ 12/17 assignments engaged in <1 week (goal: 50% in 14 days)
Full-stack action-oriented review workflow for regulatory inquiries across Meta. Schema design, GraphQL exposure, bulk operations, and multi-status workflows.
▼ 93.8% P99 latency · 87% memory reduction · 93.3% MAD reduction
Drove Goals tool to KTLO-ready state through performance tuning, OOM resolution, and Tada framework migration. Freed team capacity for higher-priority work.
▼ 50%+ operational overhead · +7 days advance visibility
Architected the foundational wave dequeuing and reporting automation across Meta's Privacy program. Deprecated manual spreadsheets with granular dashboards.
▼ Company overhead to 400-500 hrs/yr · <2 min per request
End-to-end redesign of task rewave workflow. Partnered with Data Science, established control policies, integrated with FCSLA. Customer quote: "a smashing success!"
▲ 95%+ query performance (28s→800ms) · 90% less objects
Capacity-based allocation system with load balancing. Built Queue UI, drove 47k+ ownership acknowledgments, and eliminated all tag-related operational overhead.
▼ 52 hrs/month saved · 100% adoption rate
Bulk workstream management enabling Rewaves, Onboarding/Waves Readiness checks, and Quality Reviews. Zero users reverted to old UI.
▲ 100% Deletion coverage · Tasks reach owner 3 days sooner
Built and rolled out SLA system to all Deletion workstreams. Heavy XFN with UXRs, Ownership Eng, TPMs through user research and iterative design.
▼ 89.1% table compaction · 30.17% total DB reduction
TTL deletion reduced ent count 86.31%. Lowered EntFrugalActions reads by 99.76%. Caching reduced GraphQL walltime by 92.8%.
Full-stack expertise across languages, systems, and practices
Academic foundation and research contributions
M.S. Computer Science — 2014
Research Assistant: Static code analysis, execution tracing, server virtualization
B.E. Computer Science — 2009
Published Paper: "ZEOS: An OS from scratch" — CSI ETCT 2008, National Conference
10gen Certified MongoDB Database Developer
Interview trained at Meta. Better-Eng Badge (20+ tasks). Elite Wiki Editor.
Top 2% AI Adopter at Meta
Explored 39 unique AI tools with 100% engagement. Leading adoption of agentic workflows and developer productivity tools.
Open to conversations about platform engineering, technical leadership, and collaboration
📍 New York, NY