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Nikhita Kalburgikar

Mid-level AI/ML Engineer specializing in MLOps and LLM applications

The University of Texas at ArlingtonUniversity of Texas at ArlingtonArlington, TX5 Years ExperienceMid LevelWorks On-Site

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Experience

Research Analyst – Product IntelligenceUTA · Aug 2023 – Present
Data Science – MLOps InternGM Financial · May 2024 – Aug 2024internship
Digital Technology AnalystNTT DATA North America · Sep 2021 – Aug 2023
Data Science InternMicrosoft AEP in Association with E-Cell · Apr 2020 – Jun 2020internship
AI/ML Software Engineer InternAlmug Technologies · Jun 2019 – Aug 2019internship

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Education

University of Texas at Arlingtonmaster, Management Information System (2024)
Dr. Ambedkar Institute of Technologybachelor, Computer Science Engineering (2021)

Awards

  • Maverick Advantage distinction
  • UTA DATATHON 2024 - Won UTA Datathon Challenge
  • BE Legendary recognition award - US DTS Townhall (NTT DATA North America)

Skills

A/B TestingAmazon EC2Amazon EKSAmazon S3Amazon SageMakerAWS GlueCI/CDCCSSDatabricksData PipelinesData VisualizationDockerETLFeature Engineering

Languages

English

Certifications

Certified Scrum Master (CSM) – Scrum AllianceCertified Scrum Product Owner (CSPO) – Scrum AllianceAWS Certified Cloud PractitionerAWS Certified DevOps Engineer – ProfessionalAWS Certified Solutions Architect – ProfessionalAWS Certified Developer – AssociateAWS Certified Solutions Architect – AssociateDatabricks Accredited Generative AI FundamentalsGoogle Data Analytics SpecializationSalesforce Certified AI Engineer – AssociateOracle Certified Generative AI Professional

Publications

1 publication

Natural Language Processing (NLP)Virtual AssistantsConversational AI

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Connect with Nikhita

Nikhita already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.

Typically responds within 24 hours

Recommended

Already have an account?

Hire with Reval

Find your next great hire

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$250one-time kickoff
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Nikhita KalburgikarMid-level AI/ML Engineer specializing in MLOps and LLM applications