Role: Staff/Principal ML Engineer (1099/C2C; full- or part-time)
15+ years applied ML—from Los Alamos Labs to Fortune 500 production. PhD in Mathematics. $48M cost savings via MLOps unification; 30x faster RAG serving millions; unified ML platform adopted by 34 business units.
Specialty: Moving models from notebook to revenue: LLMs/RAG; MLOps (K8s/GitOps); high-scale serving.
Seeking: Staff-level IC role where ML/AI is core. I unblock the toughest issues and level up teams.
Email: paperaxis.refining795@simplelogin.com (email for full resume and references)
I'm a seasoned full-stack AI/ML/DS technical expert with 15+ years of experience driving innovation and delivering high-impact solutions across startups, mid-size companies, and large-scale organizations. My unique blend of deep technical expertise, academic background, and leadership experience positions me as an ideal candidate for roles requiring both hands-on technical skills and strategic vision.
Key Highlights:
• ML software patent pending, demonstrating innovative thinking in the field
• Extensive experience in Generative AI, LLM training and inference, and RAG systems
• Expert in MLOps, DevOps, and full-stack production engineering
• Strong leadership background, including mentoring teams and driving organizational change
Technical Proficiencies:
• AI/ML: Deep learning, NLP, scale ML training and inference
• MLOps: Kubernetes, GitOps, CI/CD pipelines, scalable ML platforms
• Data Science: Statistical analysis, modeling, data contracts and pipelines
I'm passionate about leveraging cutting-edge AI/ML technologies to solve complex business problems and drive innovation. I excel in roles that combine technical depth with strategic thinking, whether as a hands-on technical leader or a visionary individual contributor.
Looking for: High-impact projects and roles in AI/ML leadership, technical architecture, or senior individual contributor positions. Open to full-time, contract, or consulting engagements. Please email me for a detailed resume.
Role: Staff/Principal ML Engineer (1099/C2C; full- or part-time)
15+ years applied ML—from Los Alamos Labs to Fortune 500 production. PhD in Mathematics. $48M cost savings via MLOps unification; 30x faster RAG serving millions; unified ML platform adopted by 34 business units.
Specialty: Moving models from notebook to revenue: LLMs/RAG; MLOps (K8s/GitOps); high-scale serving.
Seeking: Staff-level IC role where ML/AI is core. I unblock the toughest issues and level up teams.
Email: paperaxis.refining795@simplelogin.com (email for full resume and references)