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suparshwa patil
Mid-level Software Engineer specializing in AI platforms and full-stack systems
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About
Built and shipped a production AI-powered Q&A/RAG onboarding assistant at One Community Global that unified knowledge across Notion, Google Docs, and Slack, cutting volunteer onboarding time by 45%. Demonstrates strong end-to-end ownership: LangChain agent orchestration integrated into a FastAPI backend, rigorous evaluation (200-query dataset, ~85% accuracy), and production feedback/monitoring with source-attributed answers to build user trust.
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Key Strengths
- Built and deployed production AI QA/RAG system reducing volunteer onboarding time by 45%
- Improved system performance via caching and parallel searches (39% improvement)
- Reliability-focused evaluation approach (200-question test set; improved accuracy from ~60% to ~85%)
- Transparent AI outputs through source attribution linking answers to original documents
- Pragmatic model selection to balance quality, latency, and cost (small-model filtering before larger models)
- Designed measurable success metrics and failure-mode mapping (e.g., 85% accuracy, <2s latency)
- Continuous production evaluation with logging, user feedback loops, and automated alerts
- Effective collaboration with non-technical stakeholders; translated AI concepts into user-centric benefits
Reference Highlights
- Designed the whole backend of the system
- Provided solutions for parallel dynamicism
- Performs really great across teams and with non-technical stakeholders
- Spot-on performance in stakeholder discussions and clarifying requirements
- Fluent and clear at explaining technical concepts
- Effective at educating developers and communicating changes to stakeholders
suparshwa's references speak for themselves. Let us connect you.
Experience
Education
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Publications
1 publication
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