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Hemanth Kumar Gajagiri
Mid-level Full-Stack AI Engineer specializing in agentic systems and scalable platforms
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About
AI-focused full-stack/DevOps engineer who goes beyond using copilots and has built production-oriented LLM systems such as natural-language-to-SQL and structured insight extraction pipelines. Stands out for treating AI as an accelerator rather than a replacement, with a strong emphasis on guardrails, validation, observability, and safe deployment practices in agent-based and distributed systems.
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Key Strengths
- Practical AI-assisted engineering with strong human oversight
- Productionizing LLM systems with guardrails and validation
- Designing natural-language-to-SQL architectures
- Building multi-step agentic workflows for reliability
- Strong CI/CD and deployment safety mindset
- Architecture-first approach to distributed systems
- Emphasis on observability, logging, and controlled retries
- Grounding LLM outputs with retrieval and schema context
- Careful security and rollback review before production release
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