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Adwit Gupta
Junior Machine Learning Engineer specializing in cloud-based ML and automation
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About
Built and shipped a production multi-agent LLM system at Solena that automated internal project intake, validation, reporting, and stakeholder communications using Python, SQL, and LangChain, with strong emphasis on reliability (structured validation, safe defaults, logging, and state tracking). Also used LangGraph to orchestrate a multi-step video summarization pipeline, and has experience partnering with non-technical stakeholders to define “completion” criteria and reporting needs.
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Key Strengths
- Built and deployed production multi-agent AI workflow automating project intake, validation, reporting, and stakeholder communication
- Designed reliability into LLM systems via structured validation checkpoints and explicit pass/fail criteria
- Strong state tracking and traceability using SQL-backed workflow status and logging
- Breaks AI workflows into testable components with clear success metrics and end-to-end evaluation
- Pragmatic orchestration framework usage (LangChain/LangGraph) with emphasis on debuggability and maintainability
- Effective translation of business definitions (e.g., what counts as a “complete” submission) into automated AI workflows
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