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Ashutosh Jitendra Zawar

Mid-level AI/ML Engineer specializing in generative AI, NLP, and MLOps

ServiceNowUniversity of North Carolina at CharlotteSan Jose, CA4 Years ExperienceMid Level

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About

ML/AI engineer with hands-on ownership of production GenAI and computer vision systems, spanning experimentation, deployment, monitoring, and iterative optimization. Stands out for shipping an enterprise RAG platform that cut manual review by 50% and a defect detection pipeline that reduced report generation from 15 minutes to under 1 second while maintaining high uptime and strong operational discipline.

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Key Strengths

  • owned ML/AI systems end-to-end from experimentation to production
  • productionized enterprise GenAI search and summarization platform
  • strong RAG architecture judgment over fine-tuning for fast-changing knowledge bases
  • built monitoring and automated retraining loops for drift, latency, and failures
  • improved manual review effort by 50%
  • increased process throughput by 25%
  • maintained roughly 98% platform uptime
  • balanced quality, safety, and latency with citation-backed responses and PHI masking
  • translated research models into scalable defect detection systems
  • reduced report generation time from 15 minutes to under 1 second
  • optimized inference latency from 500ms to 173ms via parallel model execution
  • designed reusable Python/FastAPI services with stable versioned APIs
  • improved team velocity through modular code organization and shared schemas

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Experience

AI/ML EngineerServiceNow · Nov 2024 – Present
ML EngineerNeon IT Systems · Jun 2020 – Jul 2023

Education

University of North Carolina at Charlottemaster, Computer Science (2025)
Vishwakarma Institute of Technologybachelor, Computer Science (2023)

Languages

English

Certifications

AWS Certified Cloud Practitioner CLF-C02Artificial Intelligence A-Z™: Learn How to Build An AIGoogle Data Analytics Professional

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Typically responds within 24 hours

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Ashutosh Jitendra ZawarMid-level AI/ML Engineer specializing in generative AI, NLP, and MLOps