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Yash Sanjay Zaveri

Junior Software Engineer specializing in backend systems and AI automation

Northeastern UniversityNortheastern UniversityBoston, MA2 Years ExperienceJunior LevelWorks On-Site

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About

Built and deployed an AI Copilot for Healthful Telehealth that helps dietitians generate personalized meal plans using patient data and real-time clinical context. Stands out for owning the full lifecycle—from workflow discovery and ETL/RAG architecture to production incident response and post-launch stabilization—while delivering roughly 30% gains in retrieval accuracy and latency.

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Key Strengths

  • owned end-to-end AI copilot deployment from discovery through post-launch stabilization
  • built production RAG workflows for healthcare use cases
  • improved response latency and retrieval accuracy by around 30%
  • strong stakeholder translation between dietitians and product/technical teams
  • debugged non-deterministic LLM output issues across ingestion, retrieval, and prompting layers
  • designed robust preprocessing for messy multi-source healthcare data
  • implemented validation, fallback, retry, logging, and monitoring patterns for reliability
  • optimized indexing, chunking, and query execution for real-time performance
  • Shipped production LLM agent (dietitian AI copilot) with measurable impact (~30% performance improvement)
  • Designs robust multi-step agent pipelines (retrieval, reasoning, validation, structured outputs)
  • Strong reliability engineering for LLM systems (guardrails, retries/fallbacks, human-in-the-loop)
  • Schema-first approach (strict JSON schema enforcement and validation for safe downstream use)
  • Evaluation and monitoring discipline (offline edge-case tests + online metrics like latency, retry/fallback rates)
  • Handles messy semi-structured operational data via normalization, defaults, and safe fallbacks

Reference Highlights

Strongly Recommended
  • Production-focused mindset
  • Builds robust, predictable systems for real-world use
  • Strong end-to-end ownership of agent workflows
  • Thinks through edge cases and real-world complexity
  • Strong handling of messy and incomplete data
  • Methodical, structured, data-driven quality improvement approach
  • Effective monitoring and closing the loop from metrics to iteration
  • Good judgment in designing safe fallbacks
  • Improved system performance by ~30%
  • Reduced manual effort for dietitians and enabled scalable workflows

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Experience

Lead Graduate Teaching AssistantNortheastern University · May 2025 – Dec 2025part-time
Software Engineering InternHealthful Telehealth Inc. · Jan 2025 – May 2025internship
Software EngineerAXISRAY · Feb 2023 – Jun 2023
Software Engineer Co-opSoftvan · Jun 2021 – May 2022internship

Education

Northeastern Universitymaster, Computer Software Engineering (2025)

Languages

English

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Yash Sanjay ZaveriJunior Software Engineer specializing in backend systems and AI automation