# Albert Orlando

> Full Stack Engineer | AI Agents + Platform Products | ex-Amazon

Location: New York City Metropolitan Area, United States
Profile: https://flows.cv/albertorlando

https://github.com/albeorla

I build products from zero, and the platforms that make them scale.

At Amazon I was the founding engineer on Publisher Cloud, leading the 0-to-1 build from alpha through GA. The platform grew to serve 50+ enterprise publishers (NBCUniversal, DIRECTV, Dotdash Meredith) and enabled campaigns that drove 50% incremental sales uplift.

Over 8+ years I've shipped full-stack web applications, APIs, and data-intensive platforms across adtech and media, working in React, TypeScript, Python, and AWS. More recently, I've been deep in AI agent systems: multi-agent orchestration, retrieval pipelines, and integrating deterministic code with LLM reasoning.

## Work Experience
### Full Stack Engineer @ Amazon
Jan 2022 – Jan 2025 | New York, United States
- Founding Engineer for Amazon Publisher Cloud. Led technical execution for the 0-to-1 build (Alpha → GA), scaling the platform to support 50+ enterprise publishers including NBCUniversal and DIRECTV.

-Built the full-stack privacy-preserving collaboration engine that enabled client campaigns to achieve 50% incremental sales uplift and 36% CPA efficiency (per Amazon case studies).

- Architected audience matching features using AWS Clean Rooms, unlocking 35% of campaign reach on Safari/cookieless browsers—supply that was previously unaddressable.

-Established the AWS CDK infrastructure backbone for 10+ microservices, building the deployment pipelines and observability systems that allowed the team to scale.

### Full Stack Engineer @ PebblePost
Jan 2017 – Jan 2022 | New York, NY
- Core engineer for the V2 build of the PDM Campaign Manager (React/Spring). Implemented critical full-stack features for the platform that scaled to serve 800+ enterprise brands.

- Took ownership of the real-time creative editor, engineering performance optimizations that helped reduce campaign turnaround from weeks to 12-24 hours.

- Executed a systematic refactor of the Web Beacon pipeline (Google Pub/Sub), improving data ingestion reliability to support an 80% identity match rate across 140 million households.

-Developed backend API endpoints and data models supporting high-intent campaigns, contributing to a 167% conversion lift for key accounts (per published case studies).

### Full Stack Engineer @ LBi Software
Jan 2016 – Jan 2017 | New York City Metropolitan Area
• Developed a full-stack analytics platform for the Atlanta Braves, enhancing scouting tools and player dashboards.  
• Created contract analysis features to support front office decision-making processes.  
• Contributed to NBA analytics systems, focusing on player evaluation and strategic planning.


## Education
### Bachelor of Science - BS in Mathematics
Manhattan University
Jan 2012 – Jan 2016


## Contact & Social
- LinkedIn: https://linkedin.com/in/albeorla

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Source: https://flows.cv/albertorlando
JSON Resume: https://flows.cv/albertorlando/resume.json
Last updated: 2026-03-23