Raylen Margono

Spearheaded cross-functional engineering initiatives spanning 5+ organizations to deliver the Meta Ray-Ban Display (TIME's Best Invention 2025). Defined the technical strategy and success criteria for 20+ experiences, establishing a culture of quality that aligned dispersed teams. Architected critical automation infrastructure, tooling, and metric guardrails to drive optimization across Performance, Reliability, and Efficiency pillars. Acted as the primary technical lead for high-stakes war rooms, resolving complex launch blockers to ensure the successful debut of a flagship hardware product.

• Led the development of AI-driven turn-by-turn navigation and local search by uniting 5 cross functional teams, filling data engineering and data science gaps to measure and visualize KPIs and driving surges to meet, saving successful executive demos. Wrote 0->1 bring up of maps and navigation product experience with product and design functions. Exceeded expectations on reliability, performance, and power via building tooling, analysis data, and writing high impact code. The experience is cited as "the best experience on device" by all major tech influencers and major publications
• Lead the performance/reliability/efficiency/quality program for the device transforming 18/20 failing product experiences across 5 organizations by architecting a quality assessment methodology, invested in tooling, and resolving systemtic issues on device impacting all teams
• Consolidated fragmented testing across 4 platform teams and 12 product teams, creating a canonical standard with 326 automation tests (functional, power, memory, performance), reducing test authoring time 85-97% and catching 14 SEV3 regressions during code review
• Authored novel concurrent-usage modeling that previous approaches missed, built tooling to measure for platform and 11 product teams to reduce memory-induced failures from 10%→0.2% user impact (goal was 2%), with this metric adopted as an org-wide top priority catching 2 critical production incidents
• Embedded in incident response rooms to root-cause architecture issues incorrectly blamed on network layer, redirecting 3 engineering teams to prevent weeks of wasted effort - improving voice assistant reliability 87.4%→92.7% and IG Reels video latency 63% reduction through data-driven diagnosis
• Five days before VP demo with blocking performance issues and no clear understanding, embedded in incident response to resolve all performance/memory issues (VP feedback: "snappy experience"), then architected frame rate guardrails that caught 19 regressions and 1 critical incident.
• Built network across platform, system, and product orgs to deliver/shape launch commitments, driving tiered KPI prioritization (P75 primary/P90 watchlist) and shaping org-wide KPIs
• Established formal mentorship program where a staff engineer now leads quality for a major product line, 2 mid-level and 1 junior engineer (promoted) shipped latency instrumentation and memory leak detection across 11 features, enabling org-wide capability scaling beyond individual contribution

I scaled a compliant payment infrastructure from zero to $200M+ GTV via individual contributions and building teams. I combine hands-on architectural expertise with operational agility, having built Sika's core SIGIS-compliant engines and multi-seven-figure revenue streams while maintaining 150,000+ monthly orders, and sourced elite talent and agencies to increase payment conversion by 15%.

• Architected SIGIS/IIAS compliant engines processing $50M+ GTV in year one and $200M+ GTV for custom carts, generating multi-seven-figure revenue streams.
• Built resilient systems handling 100,000 daily product updates and 150,000 monthly orders, maintaining a via robust Sentry monitoring.
• Led the 4-week rapid development of the Shopify Payment Gateway and Discovery Service, penetrating a $250M merchant ecosystem.
• Engineered auto-substantiating compliance features and complex flow-of-funds logic (MVV/MCIDs) to safeguard platform integrity and ensure zero-downtime rollback capabilities.
• Managed capacity planning and vendor relationships, hiring a design agency that achieved a 15% increase in conversion and closing engineering hires in under 4 weeks.
• Architected Sika Elements web infrastructure, enabling seamless integrations for major partners like Oura, Hyperice, and Therabody through interactive documentation and optimized code-splitting.

Founding engineer who wore product/infrastructure/data-engineering hats and built teams to deliver financial product engine delivering 313% revenue growth rate over 3 years resulting in a 17M series A.

• Scaled team from inception to Series B, hiring key leadership (Head of Eng/Product) and achieving Elite DORA metrics across speed and stability.
• Founded the TechOps function, automating security and CI/CD to enable multiple daily deploys and a
• Architected the Advisor Recommendation Engine, optimizing algorithms to increase product conversion from 29.4% to 53% (+80% lift).
• Built comprehensive tax and equity scenario tools that drove a 29.2% conversion rate into revenue-generating services.
• Designed a zero-downtime GCP/Kubernetes architecture for 20+ services, secured by a zero-trust model (Okta/IAP/Vault) and Terraform IaC.

Backend engineering lead for Omnisearch project - a smart search engine for companies, financial documents, and key developments. The project was the key-driver for S&P’s decision in aquiring Kensho at a historic $550M buy-out

• Developed and maintained ETL pipelines across distributed services for ingesting financial and unstructured data
• Acted as technical product manager for integrating time series data editing capabilities for internal data quality service that would enable non-engineers to edit an internal overlay time series database to scale time series data quality abilities
• Refactored internal legacy data infrastructure of the product monolith and internal search service to allow core product to allow all of Kensho’s time series data to be searchable and analyzable
• Architectured the CapIQ portfolio integration by coordinating with S&P’s Portfolio Web API team and refactoring Kensho’s authentication and product services to allow users to run studies on portfolios
• Aided in core financial data transition to switch all of Kensho’s financial data to a different provider by developing parser to ingest financial data from complex provider files
• Oversaw the feature development and managed deploys of several microservices such as provider ingestion, financial metadata wearhouse, time series database, and authentication services

• Developed web applications’ backend integrations and infrastructure for an alternative investing platform
• Optimized an existing core API service by implementing SQL indexing and prefetching as well as a series of model serialization improvements to achieve a 400% speed up
• Architected entire regression testing suite and developed 70% of tests while training existing QA tester for handoff

• Developed special situation crawler that leverages the headless implementation of selenium to crawl through legacy and JavaScript heavy sites and developed APIs to communicate with standard crawler class

• Identified and created solution for core BlackRock business challenges by developing iModels - an interactive web application solution for the US Wealth Advisory team to sell model portfolios
• Architected and developed Bulk Upload – a REST API and web client that allows portfolio managers to develop workflows and take advantage of Aladdin data services using excel – as first production ready use case for Investment Workflow Team

• Developed CipherIntel – a web scrapping analytics tool built on Meteor to periodically crawl through 160 news sources for industry intelligence for the firm’s security information and event management (SIEM) system

• Created Raven Tech's standard map service that was integrated into the platform for the 2015 Uber partnership
• Integrated RavenMusic to the open platform and implemented voice control technology to access NPL music cloud service