Executive Summary
Visionary CTO and technology executive with 15+ years of experience leading high-impact teams, scaling enterprise infrastructure, and driving product innovation across cloud, AI, and security domains. Expert in aligning technology strategy with business goals, building world-class engineering organizations, and delivering transformative solutions for Fortune 500s and high-growth startups.
- Executive Leadership: Led multi-disciplinary teams of up to 40+ engineers and managers, fostering cultures of innovation, accountability, and continuous improvement.
- Product & Infrastructure Strategy: Architected and executed technology roadmaps for SaaS, AI, and data-driven products, resulting in 3+ successful enterprise launches and 2 compliance certifications (SOC2, HITRUST).
- Cloud & Security Transformation: Directed cloud migrations (AWS, GCP), implemented modern DevSecOps and FinOps programs, and achieved 30%+ cost savings through optimization initiatives.
- AI & LLM Innovation: Delivered next-gen AI applications by integrating LLMs (ChatGPT, Gemini, Claude, Grok) and deploying secure, scalable ML infrastructure.
- Compliance & Risk: Drove security and compliance programs, enabling successful audits and regulatory approvals in healthcare and fintech sectors.
Empowering organizations to scale, secure, and innovate through technology leadership.
Key Certifications
Executive Skills & Technical Expertise
Leadership & Strategy
Executive Leadership: CTO, VP, CISO roles, Board-level technology advisor
Product Strategy: Roadmap development, go-to-market, M&A due diligence
Team Building: Scaling and mentoring high-performing engineering teams
Change Management: Digital transformation, cloud migration, agile adoption
Cloud, DevOps & Security
Cloud Platforms: AWS (expert), GCP, Azure
Infrastructure as Code: Terraform, CloudFormation, Pulumi
DevSecOps: CI/CD, containerization (Kubernetes, Docker), monitoring, FinOps
Security & Compliance: SOC2, HITRUST, HIPAA, risk management, incident response
AI, LLMs & Data Engineering
AI/LLM Platforms: OpenAI, Google Gemini, Anthropic Claude, Meta Llama
AI Engineering: Prompt engineering, RAG, ML infra, multi-agent orchestration
AI Product Integration: Enterprise AI/LLM deployments, AI-powered automation
Software & Data
Languages: Python, JavaScript/TypeScript, Go
Frameworks: React, Next.js, Node.js, Flask, Django
Data: PyTorch, TensorFlow, Pandas, Scikit-learn
Publications
Cloud Cost Optimization Handbook for AWS
Published: June 2019
A practical collection of ideas, best practices, templates, and checklists for saving on AWS costs—based on real-world enterprise experience. This handbook is your guide to planning, implementing, analyzing, and controlling AWS cloud spend, and is designed for managers, engineers, and teams seeking to drive a culture of cost awareness and efficiency.
- Plan your AWS footprint for optimal usage and management
- Implement proven templates and checklists
- Analyze monthly spend and get actionable insights
- Control resource creation and enforce policies
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Featured AI Projects
AI-Powered Workflow Automation
- Designed and deployed internal tools leveraging ChatGPT and Gemini for automating cloud security reviews and compliance documentation.
- Integrated LLMs into CI/CD pipelines for smart code review and vulnerability detection.
Custom LLM App Prototyping
- Rapid prototyping of AI-powered apps using LangChain and Hugging Face Transformers.
- Built conversational agents for enterprise knowledge bases and customer support automation.
AI Search & Knowledge Management
- Implemented Perplexity and Bing Copilot integrations for enhanced enterprise search and research workflows.
- Mentored teams in prompt engineering and best practices for leveraging LLMs in business operations.