Enterprise-scale automation and agentic AI system architect with deep expertise in healthcare, finance, and insurance. Currently driving SRE IV portfolio leadership and AI-driven reliability engineering at CareSource, focusing on secure, compliant, and self-healing healthcare systems.
Specialized in Infrastructure as Code (Terraform, Ansible), AI prompt-engineering, and cloud-native platforms that transform legacy systems into resilient, API-first ecosystems. Track record of winning global hackathons (TED AI, Microsoft, NVIDIA) with AI solutions delivering real-world impact.
Passionate about designing ethical, agentic AI systems at the intersection of healthcare, automation, and digital transformation—where trust, security, and outcomes are paramount.
Technical Skills
AI Engineering
LLM Ops, Prompt Engineering, Agentic AI Design, Model Deployment, Inference Optimization
Python, Shell Scripting, Linux Administration, API Integration, Microservices
Professional Experience
Co-Founder & AI Engineer - Seasonal
DL Yog Lab Research Services LLC
2024 – Present
AI and agentic automation solutions provider specializing in healthcare, education, and enterprise innovation. Operates in-house AI computing cluster with Dell PowerEdge servers and NVIDIA GPU nodes supporting LLM training, deployment, and multimodal video analysis with hybrid cloud integration.
Lead architecture and infrastructure R&D for AI and automation initiatives across healthcare and enterprise sectors
Designed on-premises AI lab featuring Dell PowerEdge + NVIDIA GPU hardware supporting LLM deployment, fine-tuning, and video-AI analysis
Built hybrid LLM Ops platforms integrating AWS Bedrock, Google Gemini AI Studio, and Azure AI services for scalable agentic applications
Oversee accelerated computing infrastructure including GPU programming (CUDA, TensorRT) and distributed inference systems
Implement infrastructure-as-code using Terraform, Ansible, and GitHub Actions for end-to-end AI lifecycle automation
Co-created AI4Echolalia™, a TED AI Hackathon-winning assistive speech application for neurodiverse individuals
Direct technology strategy, ethical AI initiatives, and technical partnerships with enterprise and academic institutions
Senior Principal Engineer / SRE IV - Full Time
CareSource
2022 – Present
Lead enterprise automation and AI-enabled reliability engineering for healthcare security and managed data platforms
Architect cloud-native solutions ensuring 99.9% uptime for critical healthcare systems serving millions of members
Drive DevOps transformation initiatives using Kubernetes, Docker, and CI/CD pipelines for rapid deployment cycles
Instructional Associate - Part Time
Georgia Institute of Technology
2023 – Present
Support graduate-level AI and machine learning coursework for MS Computer Science students in advanced AI/ML programs
Various Healthcare and IT Product & Services Roles
Multiple Organizations
2003 – 2022
Extensive experience in distributed computing architectures, API development, and enterprise system integration
Led cross-functional teams in delivering scalable healthcare IT solutions and enterprise product implementations
Specialized in microservices architecture, RESTful API design, and cloud migration strategies for healthcare systems
Recognition & Publications
TED AI Hackathon Winner – AI4Echolalia™ assistive speech technology for neurodiverse individuals