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 Strategy & High-Scale Impact
- 0→1 Consumer Features: Led multiple consumer-facing features from concept to production, owning architecture, full-stack implementation, experimentation strategy, and launch iteration across ambiguous product spaces.
- Quantifiable Growth Engineering: Directed experimentation strategies that delivered +5.2% 0s DAU and +7.8% high-quality social interactions, significantly improving overall Friends Tab engagement metrics.
AI-Native Systems & Workflows
- Agentic Developer Ecosystems: Spearheaded the integration of AI-driven development into core workflows, establishing a "prototype-first" model that reduced average prototype latency for In-Feed Units from ~2 weeks to 2 days.
- AI-Native Tooling Orchestration: Engineered a suite of internal agentic systems, including a domain-aware Code Review Assistant for quality and risk review and an Experiment Assistant interpreting 200+ metrics to accelerate launch decisions.
- Knowledge-Centric Architectures: Developed a specialized Friends Tab knowledge layer and agentic frameworks that compressed idea-to-experiment cycles by >50%, doubling concurrent feature development capacity.
- Organizational AI-Driven Impact: Authored and evangelized internal frameworks on AI-native engineering and modern development that were adopted by leadership and scaled across broader working groups.
Technical Leadership & Strategic Influence
- Strategic Roadmap Ownership: Authored multi-quarter strategy documents and comprehensive lookback analyses that defined the long-term technical and product direction for the Friends Tab.
- Cross-Functional Impact: Collaborated with PM, Design, and Data Scientist to evaluate high-stakes trade-offs between experimentation velocity and system stability, ensuring alignment on technical priorities.
- Evangelizing Engineering Standards: Established and scaled internal frameworks for AI-native development, influencing leadership to adopt agentic paradigms and modern engineering standards across broader product groups.
- Decision-Making Under Ambiguity: Led technical evaluations for 0→1 product surfaces, navigating complex architectural requirements to deliver scalable solutions for high-traffic consumer features.