Summary
Seasoned technical leader with over 30 years of experience in computer and electronics industries, now specializing in cutting-edge AI technologies and cloud operations. Proven track record in building and leading teams to solve complex operational problems, with a current focus on AWS cloud compute.
Technical Skills
AI & Machine Learning:
- Large Language Models: Proficient with open-weights models (Mistral, Mixtral, Llama2, Llama3) and proprietary models (Claude family, GPT-3, GPT-4)
- Familiarity with AI Frameworks & Tools: OpenAI API, llama.cpp, CrewAI, Microsoft Autogen, OpenInterpreter, Aider
- AI Acceleration: ROCM, CUDA, model quantization techniques (from an operations perspective)
Cloud & DevOps: AWS, Kubernetes, Docker, Puppet, Salt Stack
Programming & Scripting: Python, Shell scripting, Perl
Databases & Message Queues: MySQL, PostgreSQL, RabbitMQ
Monitoring & Performance: Prometheus, Grafana, NewRelic, DataDog
Professional Experience
Technical Operations Manager, Philips (05/2018 to present)
Lead the PAAS operations team, focusing on cloud architecture and AI integration:
- Manage worldwide Kubernetes installations
- Guide customers in migrating to cloud architecture and microservices
- Optimize IAAS services for cost-efficiency without compromising quality
- Drive long-term technical projects to completion.
- Spearhead the adoption and integration of AI tools to boost productivity securely
Cloud Operations Engineer, Philips (11/2015 to 05/2018)
Focused on cloud infrastructure and big data technologies:
- Deployed and managed Hadoop/Spark clusters on AWS using Salt Stack and Ambari
- Maintained and upgraded multiple cloud deployments in production
- Developed automation tools for efficient deployments and data gathering
- Manage a variety of observability tools: Prometheus stack, NewRelic, DataDog
- Assist our clients in troubleshooting and performance evaluation efforts with containerized applications