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AI

AI Developer

N

Python & AI System Development

N

AWS & Cloud-Native AI Architecture

N

DevOps, CI/CD & Production Deployment

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About AI Developer

AI Engineer and AI Operations Lead with strong hands-on experience building and deploying production AI systems in AWS environments. Currently architecting AI-powered monitoring platforms using AWS Bedrock and agent-based workflows to aggregate enterprise-wide alerts, logs, and incidents. Brings a rare combination of AI engineering, Python automation, cloud infrastructure, and DevOps leadership.

Proven background designing scalable automation platforms, building Django-based AI applications, leading international engineering teams, and driving CI/CD pipelines in cloud-native environments. AWS Certified AI Practitioner with deep experience in Python, distributed systems, and production-grade deployment,  well-aligned for building large-scale AI agents that solve real business problems.

 

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Skills

Python & AI System Development
N

5 years

Extensive experience building Python-based automation systems and AI applications, including a Django-based AI tool for firewall analysis and enterprise automation platforms. Strong backend engineering foundation for building scalable AI agents, orchestration layers, and data-processing pipelines.
AWS/Cloud-Native Architecture
N

3+ years

Architected and deployed AI-powered monitoring solutions using AWS Bedrock and agent-based workflows. Experience building cloud-native applications and multi-cloud visibility platforms. AWS Certified AI Practitioner with hands-on experience designing scalable, event-driven systems.
Prompt Engineering & LLM
N

2 years

Hands-on experience integrating AI agents and Bedrock-based solutions into enterprise monitoring platforms. Designed workflows that aggregate, interpret, and respond to operational data across systems—directly aligned with building large-scale AI agents that solve business problems.
DevOps, CI/CD & Deployment
N

5 years

Built and maintained Azure DevOps CI/CD pipelines, automated production deployments, and managed code repositories with cross-team collaboration. Strong focus on reliability, automation, and operational excellence in production environments.