Vaibhav Srivastava

Key Features:

• Interactive AI-driven project planning
• Automated task breakdown and assignment
• Technical risk analysis and mitigation strategies
• Instant, personalized project reports delivered via email
• Seamless integration with productivity tools

How It Works:

1. Sales Agent collects requirements and creates a feature list.
2. Manager Agent breaks down features into actionable tasks.
3. Senior Developer Agent analyzes technical risks and solutions.
4. CTO Agent generates a comprehensive implementation plan and sends it via email.

Project Planner empowers users to transform ideas into actionable plans, accelerating delivery and improving team collaboration. Built with advanced AI models and cloud integration, it’s ideal for startups, agencies, and enterprises seeking to optimize their workflow.

Learn more at srivaibhavsagar.com

Key Highlights:

• This app exposes a personal AI assistant that answers questions about my personal background, skills, and experience. It runs a Gradio chat UI backed by Google's Gemini models via an OpenAI-compatible API and uses tool-calling to optionally record leads and unknown questions via Pushover notifications.
• Implemented a custom domain (hireme.srivaibhavsagar.com) and secure deployment using AWS Certificate Manager (ACM) and Nginx
• Created a systemd service for continuous deployment to EC2, ensuring the app restarts automatically on server reboot
• Compared hosting approaches (EC2 vs. S3 + CloudFront) for affordability and scalability of small websites
• Developed a custom domain (hireme.srivaibhavsagar.com) and secure deployment using AWS Certificate Manager (ACM) and Nginx
• Created a systemd service for continuous deployment to EC2, ensuring the app restarts automatically on server reboot
• Compared hosting approaches (EC2 vs. S3 + CloudFront) for affordability and scalability of small websites
• Custom Domain Integration – Configured DNS with Amazon Route 53 to point a subdomain (hireme.srivaibhavsagar.com) to the hosted application
• Secure Deployment – Used AWS Certificate Manager (ACM) to enable free SSL/TLS certificates and serve the site over HTTPS
• Scalable Infrastructure – Experimented with both EC2 + Nginx + Gunicorn for dynamic apps (Gradio/Flask) and S3 + CloudFront for static hosting
• Automation – Created systemd services and GitHub Actions for continuous deployment to EC2, ensuring the app restarts automatically on server reboot
• Cost Optimization Learning – Compared hosting approaches (EC2 vs. S3 + CloudFront) for affordability and scalability of small websites

• Learn more at hireme.srivaibhavsagar.com

Key Contributions:

• Designed and implemented new automation architecture using Morpheus as UI layer with Ansible and Terraform backend
• Built custom APIs (API Gateway) for dynamic data serving and backend automation services
• Developed Morpheus Tasks using Python and Ansible for provisioning and post-provisioning actions
• Implemented GitHub Actions pipelines for automated code promotion across environments
• Worked extensively with Terraform and Terraform Cloud for cloud infrastructure provisioning
• Gained practical experience with Docker and Kubernetes for containerization and orchestration
• Started exploring AI Agents and building projects integrating automation with AI-driven workflows

Key Contributions:

• Led migration from vRA 7.x to vRA 8.x, adapting to new microservices-based architecture
• Redesigned backend provisioning by integrating vRO with Ansible
• Built Ansible playbooks for provisioning and post-provisioning operations
• Integrated AWS cloud services into provisioning workflows
• Implemented GitHub-based version control and CI/CD pipelines using GitHub Actions
• Continued development of Day-2 actions for infrastructure management

Key Contributions:

• Developed custom vRO workflows and actions for end-to-end VM provisioning
• Created service catalogs in vRA for multiple VM flavors and operating systems
• Integrated automation workflows with enterprise tools (EIP, CMDB, ITSM)
• Implemented Day-2 operations for lifecycle management of provisioned workloads
• Leveraged Python and JavaScript scripting for custom logic and automation extensions