• Led production LLM automation for financial crime investigations, reducing manual review dependency and establishing the evaluation, observability, and guardrail foundation for a multi-year compliance automation program projected to drive tens of millions in savings.

• Built an AI-powered Investment Command Center (0→1) that integrates competitive intelligence (LLMs + CV on global ad creatives) with centralized spend insights, surfacing themes, tones, incentives and share-of-voice to country managers. This work accelerated decision-making across channels while automating ~4 FTEs worth of work.

• Founded and led the Investment Machine and Martech engineering teams, scaling systems to support over $100M/year in global performance marketing with a roadmap toward $700M/year in growth spend; built a high-fidelity observability layer delivering 99.999% SLA reliability and proactively preventing regressions that could have caused conversion data loss across critical revenue channels.

Engineering Manager under AWS CloudWatch organization, overseeing X-Ray and Application Signals products.

• Leading a team of 11 engineers;

• Overseeing AWS X-Ray SDKs, Region Builds, and Backend services.

• Leading AWS Distribution for OpenTelemetry (Java, Python, NodeJS, .NET), enabling new CloudWatch Application Signals features.

• Delivered X-Ray's OTEL endpoint, a Re:Invent launch, in 30 days, enabling customers to integrate OTEL-native stacks with AWS CloudWatch.

Senior Engineering Manager on Video-On-Demand and Cloud Video Processing services for Twitch and Amazon IVS, an AWS Product. Twitch is the world's largest live-streaming platform, mostly focused on gaming, and IVS is a set of APIs that allows AWS developers to build video experiences similar to Twitch.

• Delivered $5M+ USD in yearly savings by optimizing storage and compute.

• Shipped critical AWS features, directly helping unblock $30M+ USD in yearly revenue for IVS under the Real-time (WebRTC) and Low-Latency products (RTMP/HLS).

• Led the development and launch of Amazon IVS' recording feature, used by over 95% of customers, making it IVS' most popular feature.

• Improved internal services through effective incident management, proposing and ensuring strict compliance with a 99.999% availability SLA.

• Scaled the team from 8 to 20 engineers, recruiting talent across US, Canada, South Africa and LATAM.

• Tech Stack: AWS (S3, Lambda, ECS, EC2, CloudWatch, Cloudfront, APIGateway), WebRTC, RTMP, Gstreamer, FFMpeg, HLS, GoLang.

Buzzmonitor is a Social Media and Business Intelligence SaaS currently used by Coca-Cola, McDonald’s, Mastercard, Unilever, Google, UFC, Visa, Rede Globo, Renault and 300+ other brands and agencies based in LATAM and Europe.

• Scaled the Engineering, Design, and Product teams from 3 to 28 members.

• Established strategic alliances with Meta (Instagram/FB Partners Program), and Twitter, gaining exclusive access to a coveted suite of partner-only features. Partner status was critical to onboarding lighthouse customers, contributing significantly to business success.

• Built a data architecture and pipeline on top of Elasticsearch that hosts 100+ billion searchable documents, with an average of 6K new items indexed per second.

Slashed infrastructural costs by 70% by moving the data layer from AWS to a private data center.

• Replaced a MySQL-based infrastructure with Elasticsearch, reducing query time by 95%.

Coordinated an R&D project with a leading research team under the Natural Language Processing (NLP) domain, leading to a state of the art classifier for Social Media content. This research accelerated human content labeling efficiency by 300%.

• Defined the product roadmap, driving key architectural changes and balancing feature releases with technical debt management across teams. While working as an Engineer, I was responsible for numerous distributed systems, data pipelines, UIs, autoscaling policies, and alarms, addressing engineering bottlenecks and issues across multiple services.

Tech Stack: Ruby on Rails, Python, Java, AngularJS, React, RabbitMQ, AI/ML, ElasticSearch (Elastic).