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Shreyas Darade
Mid-level Data Scientist specializing in business intelligence and machine learning
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About
Internship experience building a production LLM-powered podcast operations agent that automated lead intake (HubSpot), guest research, scheduling (Calendly), meeting-summary evaluation (Gemini), and human approval via Slack bot—while retaining rejected candidates for future outreach. Also contributed to ideation of a multi-agent orchestration framework with parsing and task routing, and emphasized reliability via structured prompts, HITL feedback, and prompt-based test sets.
Experience
Education
Key Strengths
- Built and deployed an end-to-end LLM-powered podcast agent integrating HubSpot, Calendly, Slack, and a database
- Designed structured prompts and parsing to reduce tool/LLM misinterpretation in production workflows
- Applied human-in-the-loop gating (Slack feedback) for candidate selection and scheduling decisions
- Conceptualized multi-agent orchestration with routing and preprocessing (parser) for reliable task delegation
- Practical evaluation approach using test prompt sets and good-vs-bad example datasets
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