I'm a software engineer with 15+ years of experience building systems at scale — from distributed cloud infrastructure to consumer products used by billions. I'm currently at Meta, working on agent data optimization as part of the Applied AI initiative.
My career spans the full stack and then some: I've been a tech lead on WhatsApp Android (3B+ users), architected hyperforce services at Salesforce with 100% retention, shipped media infrastructure at Netflix, and built music features at Amazon. I hold two US patents in cloud cost attribution and optimization.
I'm a product engineer and i'm drawn to the intersection of infrastructure and intelligence — building platforms, evals pipelines, and developer tooling that make AI systems reliable and measurable. As of April 2026, I'm especially interested in inference infrastructure, AI quality, and applied agent systems.
Outside of work, I'm a dad to two young kids and a mobile developer working on iOS and Android apps that solve users problems.
— Present
Software Engineer, Applied AI
Working on agent data optimization for Muse Spark. AI at the scale of Facebook, Instagram and Whatsapp
— Apr 2026
Tech Lead, WhatsApp
Tech lead for the Contacts surface on WhatsApp Android, impacting over 3 billion users globally. Owned planning, design, and execution across the team.
— Jun 2025
Tech Lead, Meta Autofill
Led growth and experimentation for Meta's built-in web browser across Facebook, Instagram, and Threads. Drove conversion and retention improvements through A/B experimentation at scale.
— Jul 2023
Tech Lead, Meta Pay Wallet
Led workstream for Meta Pay on Facebook. Consistently exceeded revenue generation goals. Built full-stack features with React, Hack, JS, and CSS.
— May 2022
Lead Software Engineer
Tech lead for the Hyperforce performance service used by engineers across all Salesforce clouds. Grew the team from solo to 11 engineers, achieved 100% retention, and presented the service to Salesforce's President of Engineering. Also designed the Nebula high-load service on AWS, evaluating Fargate, EKS, and EC2 for multi-tenant adoption. Received a Rising Star Award.
— Jun 2017
Senior Software Engineer
Built orchestration systems that reduced deployment times by 80% across 30+ microservices. Designed canary deployment pipelines with zero-failure guarantees and continuous baseline metric collection for media encoding workflows.
— Sep 2015
Software Development Engineer II
Built Prime Music recommendations (Hackathon winner 2015), implemented playlist UI and service components, and developed the integration test framework for the Web Cloud Player — reducing automated UI test dev time by 75%.
— Mar 2015
Software Development Engineer II, Test
Led QA for the Amazon Desktop Player launch. Built Python + Selenium automation covering 100% of automatable scenarios across Mac, Windows, and major browsers — reducing release time by 50%. Hackathon winner 2014. Promoted twice.
Real-Time Cost Attribution & Cost-to-Serve for Cloud Systems
Systems for real-time cost attribution across distributed cloud applications, enabling granular cost visibility and decision-making in large-scale infrastructure environments — applicable to AI/ML workloads and multi-tenant systems.
Optimization of Cost-to-Serve for Cloud Applications
Methods to optimize cost efficiency of cloud services, improving resource allocation and cost-performance tradeoffs for high-scale, latency-sensitive applications.
M.Sc. Software Engineering — GPA 3.89/4.0
Carnegie Mellon University · 2013
B.S. Software Engineering — Graduated 1st in Class
Universidad Peruana de Ciencias Aplicadas · 2007