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Rahul Hatkar
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and MLOps
San Francisco, CAAI/ML ENGINEER6 years experienceMid-LevelTechnologyArtificial IntelligenceEnterprise Software
ScreenedIdentity Verified
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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.
Experience
AI/ML ENGINEERScale AI
Python DeveloperTCS
Education
Webster Universitymaster, Information Technology and Management
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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