Software Engineer Current
Meta Platforms, Inc. / Facebook
Feb 2025 — Present
Led 0→1 product development for Facebook Friends Tab, a top-level surface serving 20M–25M+ daily active users in US/CA, spanning full-stack execution, experimentation, and AI-native workflow design.
Product & Experimentation
- 0→1 Consumer Features: Drove multiple consumer-facing features from concept to production, owning architecture, full-stack implementation, experimentation strategy, and launch iteration across ambiguous product spaces.
- Product Impact at Scale: Built and launched new product surfaces with experiments delivering +5.2% 0s DAU, +3.5% 15s DAU, +1.2% Friends Tab session count, and +7.8% high-quality comments sent to friends, contributing to +4.2% total Friends Tab interactions in US/CA.
- Roadmap & Product Judgment: Shaped product direction through strategy docs, experiment readouts, and lookback analyses that influenced roadmap decisions and clarified not just how the team built, but what the team chose to build next.
AI-Native Execution
- Prototype-First Workflow: Embedded AI-driven development into the team's workflow, reducing average prototype time for In-Feed Units from ~1.5–2 weeks to 2 days and helping establish a prototype-first model that made iteration faster and more intuitive for PMs and cross-functional partners.
- Reusable Systems for Faster Iteration: Built reusable components, agentic workflows, and a Friends Tab-specific knowledge layer that compressed idea-to-prototype-to-experiment cycles from 2–3 weeks to under 1 week, increasing concurrent feature development from 2–3 features per month to 5–6.
- AI-Native Team Tooling: Created internal systems including an Experiment Assistant interpreting 200+ metrics to accelerate launch decisions and a Code Review Assistant that performed domain-aware functional, quality, and risk review.
Technical Leadership & Decision-Making
- Engineering Beyond Implementation: Expanded the role of engineering beyond delivery by improving how product, engineering, and leadership accessed context, evaluated tradeoffs, and aligned around faster, better-informed decisions.
- Thought Leadership on Modern Development: Authored internal writing on AI-native engineering and modern development workflows that was amplified by leadership, shared across a broader working group, and adopted beyond the immediate team.