AWS SDM · Product intelligence · Engineering leadership · Distributed systems
Engineering leader building AI-powered product intelligence, developer productivity, and distributed decision systems. Software Development Manager at AWS with 15+ years across Amazon and AWS, leading teams that turn customer, product, and operational signals into trusted platforms for better decisions and faster execution.
Operating Thesis
The thread across my career is helping large engineering organizations replace fragmented, expert-driven workflows with durable platforms. I lead teams, planning, architecture, operational readiness, hiring, performance coaching, and cross-org execution while staying close to the product and system decisions that determine whether a platform actually earns trust.
Selected Case Studies
Problem AWS teams needed faster ways to understand customer behavior, friction, feedback, and launch impact.
Role Led engineering strategy, roadmap execution, architecture direction, and operational readiness.
System Telemetry, feedback, CSAT, task-flow, and journey intelligence platforms.
Impact 500+ service teams, hundreds of surfaces, 500M events/day, roughly 18TB/day telemetry, and targeted feedback setup reduced from weeks to hours.
Problem Analytics depended on specialist query knowledge and fragmented feedback tools.
Decision Governed tools, not unbounded chat-over-data.
System Secure orchestration, tool boundaries, memory, guardrails, validation, and observability.
Impact 5K monthly users, strong query success, low-latency responses, and governed tools.
Problem Engineers lost time on discovery, repeated review feedback, and tribal knowledge.
Decision Keep humans in the approval path while automating mechanical first-draft work.
System Code-review patterns, co-change signals, conventions, and human-reviewed AI drafts.
Impact Target same-day reviewable drafts for recurring code-review patterns.
Selected Accomplishments
Direct team leadership up to 12 engineers plus broader manager-led workstream execution.
Product-decision workflows across hundreds of Console surfaces and service-team use cases.
Natural-language analytics over governed tools, with strong success and latency outcomes.
Roughly 500M daily interaction events converted into product intelligence signals.
Template-based feedback workflows reduced setup time for targeted collection and reporting.
Reduced complex digital launch validation from roughly 6 weeks to 3 weeks through automation.
Relevant Leadership Areas
Technical Range
Contact
The best conversations are with teams building consequential products where engineering leadership, AI leverage, customer trust, platform quality, and shipping speed all matter at once.
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