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Jagdish Singh

@jagdishsingh

Message

AI Automation Engineer building production-grade agentic workflows and Python API pipelines.

India

Message

What I'm looking for

I’m looking to build and deploy production agentic AI automation—Python + REST APIs + strong CI/CD. I want teams that value reliability, observability, and Responsible AI, and where I can accelerate delivery and reduce operational latency.

I’m an AI Automation Engineer with 3+ years of experience designing and deploying production-grade agentic workflows, API integrations, and Python-based automation pipelines. I specialize in orchestrating multi-agent systems and integrating LLMs via REST APIs to replace manual work with reliable automation.

In my current roles at VULNRA and DentalAI, I’ve engineered Python automation that secures 10 enterprise clients and reduced missed appointments by 45%. I build tool-orchestrated AI workflows with strict failure recovery, observability, and latency monitoring—so production systems stay dependable as usage grows.

As an Independent AI Automation Consultant, I connect varied systems and teams using Python, APIs, and AI-enabled routing, while tracking automation maturity and optimizing LLM cost tracking and execution reliability. I’m also driving forward agentic engineering with projects like APEX, a multi-agent consensus engine that automates evaluation and production decisions.

Experience

Work history, roles, and key accomplishments

Current

Lead AI Automation Engineer

Current

Vulnra

Jan 2023 - Present (3 years 4 months)

Designed and engineered production-grade Python automation pipelines that replaced manual validation workflows, securing 10 enterprise clients. Built and maintained agentic, LLM-based tools via REST APIs and managed containerized CI/CD deployments to improve reliability and scalability.

Python Multi agent orchestration Failure Recovery Patterns GitHub Actions Gitlab CI Docker REST APIs

Current

AI Systems Engineer

Current

Dentalai

Jan 2023 - Present (3 years 4 months)

Developed Python automation integrating scheduling systems with the Claude API, reducing missed appointments by 45%. Engineered tool-orchestrated AI workflows with failure recovery, observability, and latency monitoring, while maintaining reusable components and API standards.

Python Scheduling Failure Recovery Observability System Integration

Current

Independent AI Automation Consultant

Current

Global Clients

Jan 2022 - Present (4 years 4 months)

Designed automation connecting varied systems and teams using Python, APIs, and AI-enabled routing to reduce manual operational effort. Tracked automation maturity and observability metrics while optimizing LLM cost tracking and execution reliability.

Python API Integration LLM Cost Tracking Observability System Integration Data Integrity