Extensive hands-on experience in software and application engineering (14+ years) for cloud-native, enterprise, and SaaS environments, with strong knowledge of architectural principles such as scalability, security, and reliability.
Proven ability to design and deliver AI-native applications, utilizing large language models, RAG architectures, vector databases, and agentic systems to innovate enterprise workflows.
Strong proficiency in widely used AI/ML Python libraries and frameworks
Exposure to data pipelines and MLOps practices
Skilled in integrating Agentic AI into complex business processes, ensuring responsible and effective use of AI agents within enterprise operations.
Solid architectural foundation across cloud platforms, distributed systems, scalability, security, and reliability.
Experience owning solutions across the full application lifecycle, from design and implementation to deployment and production operations.
Ability to work effectively with cross functional teams and customer stakeholders, communicating complex technical topics clearly.
Learning mindset, technical leadership, and accountability in high impact, ambiguous environments
You demonstrate a proactive approach to leveraging AI in everyday workflows, ensuring high‑quality outputs through thoughtful context design and system integration