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Darsh Sharma
Mid-level Software Engineer specializing in ML systems and microservices
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About
Teradata Text Security intern who built a production LLM-powered planner agent that decomposes complex tasks into dependency-aware subtasks (DAG/topological graph) and executes them via a custom orchestrator with parallelism, status tracking, and error handling. Also contributed to an HR-facing internal document chatbot concept to streamline onboarding, showing cross-functional collaboration.
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Key Strengths
- Built and deployed an LLM planner agent that generates dependency-aware execution plans (topological graph)
- Designed a custom orchestrator to execute DAG workflows with parallelism and dependency synchronization
- Implemented workflow reliability features: logging/monitoring, task status tracking, and error propagation
- Improved agent performance via few-shot prompting, tool integration, and human feedback loops
- Structured evaluation approach using internal datasets, multiple reference answers, and iterative failure analysis
- Able to translate AI capabilities into business solutions via collaboration with HR on an internal onboarding chatbot
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