Senior Data Engineer with 8+ years of experience designing secure backend systems, cloud-native applications, and AI-driven enterprise integrations. Skilled in Java, AWS, and modern DevOps practices, with proven success in AI/ML engineering, secure code review, and large-scale data platforms. Adept at bridging technical depth with business impact, including select high-profile marketing technology campaigns (Meta Wearables).
VibesMeet | Feb 2025 - Present | Remote
I owned the design and build-out of VibesMeet’s core platform, working end-to-end across backend services, data pipelines, and frontend integrations to support real-time user engagement and AI-driven features.
I designed scalable backend APIs using Node.js and TypeScript, focusing on low-latency data access and clean service boundaries to support rapid feature iteration.
I built and optimized data pipelines for user activity, analytics, and engagement signals using PostgreSQL and SQL, ensuring data consistency and performance at scale.
I integrated AI/ML-ready data flows, structuring event data to support future recommendation, matching, and personalization models.
I implemented cloud-native architecture on AWS, using Dockerized services and CI/CD pipelines to keep deployments fast, repeatable, and reliable.
I partnered closely with product and design to translate social interaction requirements into technical solutions that actually shipped and scaled.
I enforced secure coding practices, API authentication, and role-based access to protect user data while keeping the UX smooth.
Technologies: TypeScript, Node.js, PostgreSQL, AWS, Docker, REST APIs, CI/CD, SQL, GitHub
