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Rahul Hatkar

Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and MLOps

Scale AIWebster UniversitySan Francisco, CA6 Years ExperienceMid LevelWorks On-Site

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About

AI/ML engineer who has shipped production AI systems end-to-end, including an automated multi-channel (Gmail/WhatsApp/voice) candidate interviewing workflow and an enterprise RAG knowledge search platform. Demonstrates strong production rigor (monitoring, A/B tests, guardrails, schema validation, shadow testing) with quantified impact: ~60–70% reduction in interview evaluation time and ~20–30% relevance gains in RAG retrieval.

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Key Strengths

  • Built and shipped end-to-end AI interview automation (question generation, multi-channel delivery, scoring, reporting, infra/monitoring)
  • Delivered measurable efficiency gains: reduced interview evaluation time ~60–70%
  • Productionized enterprise RAG with embeddings + vector search and tool/agent orchestration
  • Improved answer relevance ~20–30% and reduced hallucinations via retrieval optimization and guardrails
  • Implemented reliability patterns: retries, fallbacks, schema validation, grounding checks
  • Validated production value with A/B testing and monitoring dashboards
  • Led low-risk legacy modernization using feature flags, shadow testing, and parallel run output comparisons
  • Effective cross-team execution with minimal oversight using milestones, async updates, and tight feedback loops

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Experience

AI/ML ENGINEERScale AI · Mar 2024 – Present
Python DeveloperTCS · Jun 2019 – Feb 2023

Education

Webster Universitymaster, Information Technology and Management

Skills

A/B TestingAgileAnomaly DetectionAnsibleApache HadoopApache SparkArgo CDAudit LoggingAWSAWS LambdaAzure Machine LearningBigQueryClassificationComputer VisionCross-functional Collaboration

Languages

English

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Typically responds within 24 hours

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Rahul HatkarMid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and MLOps