Overview

Joined DSTLRY Media as Lead AI Engineer, leading AI initiatives across the entire product lifecycle—from product design to DevOps. Building AI tooling and infrastructure for next-generation media experiences.

Key Responsibilities

AI Engineering Leadership

  • Leading AI/ML initiatives across the organization
  • Building AI tooling from product design to DevOps
  • Architecting LLM integration pipelines
  • Designing AI-powered content and media experiences

Product Design Integration

  • Bridging AI capabilities with product requirements
  • Collaborating with design teams on AI-driven features
  • Implementing AI solutions that enhance user experiences
  • Ensuring ethical AI implementation

DevOps for AI

  • Building infrastructure for AI model deployment
  • Setting up MLOps pipelines
  • Managing GPU resources and scaling
  • Implementing monitoring for AI systems

Technologies

  • AI/ML: LLM Integration, Machine Learning, Python
  • Cloud: AWS, Infrastructure as Code
  • Languages: Python, TypeScript
  • DevOps: Docker, Kubernetes, CI/CD
  • Data: Vector Databases, Embedding Systems

Key Achievements

AI Tooling Platform

  • Built internal AI tooling platform used across teams
  • Integrated LLM capabilities into existing workflows
  • Created AI-assisted content generation tools

Infrastructure Scale

  • Designed scalable AI infrastructure
  • Implemented cost-effective GPU utilization
  • Built automated model training pipelines

Learnings

Working at DSTLRY Media has taught me:

  • AI Product Strategy: How to integrate AI meaningfully into products
  • MLOps at Scale: Running AI systems in production
  • Cross-Functional Leadership: Leading AI initiatives across design, engineering, and operations
  • Emerging Tech: Staying at the cutting edge of AI developments

Current Focus

Continuing to expand AI capabilities at DSTLRY Media, exploring new models, and building the future of AI-powered media experiences.