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Subhash Mothukuru

Mid-level Machine Learning Engineer specializing in LLMs, generative AI, and MLOps

Scale AIConcordia University WisconsinSan Francisco, CA5 Years ExperienceMid LevelWorks On-Site

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About

Built and shipped a production LLM-powered medical scribe that generates structured clinical visit summaries using RAG, strict JSON schemas, and post-generation validation to reduce hallucinations. Experienced in making LLM workflows deterministic and observable (structured logging/metrics/tracing) and in evaluation-driven iteration with metrics like schema pass rate and edit rate; collaborated closely with clinicians and policy stakeholders at Scale AI to drive adoption.

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Key Strengths

  • Built and deployed an LLM-powered medical scribe system to production
  • Strong reliability focus: strict schemas, validation, guardrails, deterministic fallbacks, retries
  • Practical hallucination reduction via schema enforcement and post-generation validation
  • Cost/latency optimization through prompt tightening, context pruning, token caps/early stopping, caching
  • End-to-end observability design (structured logs, metrics, tracing with request IDs)
  • Evaluation-driven development using golden datasets, regression tests, and production quality metrics
  • Effective cross-functional collaboration translating clinician/policy needs into measurable constraints and metrics

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Experience

Machine Learning EngineerScale AI · Jun 2024 – Present
Software Machine Learning EngineerMeta · Jun 2020 – Jul 2023
Research Assistant (GenAI Engineer)Concordia University Wisconsin

Education

Concordia University Wisconsinmaster, Computer Science and Software Engineer

Skills

A/B TestingAgileApache SparkAWSAWS GlueAWS LambdaBashBERTBitbucketCCI/CDClassificationData EngineeringData PreprocessingDistributed Systems

Languages

English

Certifications

Introduction to GenerativeAIMicrosoft Certified: Azure AI FundamentalsLangChain for LLM Application DevelopmentBuilding Ambient Agents with LangGraphFine-tuning Language Models with Azure AI FoundryAI Agents in LangGraphBuilding AI Voice Agents for Production

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Typically responds within 24 hours

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Subhash MothukuruMid-level Machine Learning Engineer specializing in LLMs, generative AI, and MLOps