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Nilotpal Sinha

Fan Zhu
18.5 yrs experienceComputer Software
Apr 2024

The move

MoveAmazon Web Services (AWS) → Multiverse Computing
TitleSr. Consultant Data Science → Director of AI Engineering
LocationDriving the Future of AI & Autonomous Mobility | Building Scalable Ecosystems → San Sebastián
Career arcRecent arrival
Cross-border moveYes · Driving The Future Of Ai & Autonomous Mobility | Building Scalable Ecosystems → Spain
Native languageAssamese, Manipuri, Bengali
Years in UAE3.9
Total experience18.5 years

Career arc

  1. Director of AI EngineeringApr 2024 — Present
    Multiverse Computing· San Sebastián, Basque Country, Spain· Full-time
  2. Sr. Consultant Data ScienceAug 2021 — Jul 2023
    Amazon Web Services (AWS)· Full-time
  3. Resident Data ScientistDec 2018 — Aug 2021
    Department of Culture and Tourism· Abu Dhabi, United Arab Emirates
  4. Principal Consultant, Data ScienceSep 2017 — Dec 2018
    Emirates· Dubai, United Arab Emirates
  5. Head of Data ScienceFeb 2014 — Aug 2017
    Pyramid Cyber Security & Forensic· New Delhi Area, India
  6. Senior ConsultantMay 2012 — Jan 2014
    Fractal Analytics· Mumbai Area, India
  7. Technology Team LeadOct 2004 — Mar 2010
    Infosys Technologies Ltd· Los Angeles, California, United States

Education

Languages

  • Hindi · Full professional
  • Assamese · Native or bilingual
  • Manipuri · Native or bilingual
  • Spanish · Elementary
  • Nepali · Limited working
  • English · Full professional
  • Lushai · Limited working
  • Bengali · Native or bilingual

Top skills

Programme DirectorsStrategy AlignmentStrategic VisionData GovernanceC-Level RelationshipsProduct Knowledge

About

Building future AI systems. 20+ years of global experience driving AI/ML innovation, cloud-native architecture, and platform-scale engineering in high-growth environments. I specialize in building and leading high-performance teams that deliver enterprise-grade solutions - from core infrastructure and microservices to cutting-edge Generative AI applications. My career spans multiple industries including finance, aviation, public sector, healthcare, and digital commerce—where I’ve led complex, multi-million-dollar programs, scaled engineering organizations, and partnered closely with cross-functional teams to align technical strategy with business outcomes. My expertise spans: - AI & ML at scale (LLMs, GenAI, edge AI, MLOps) - Enterprise platform architecture (cloud-native, distributed sy

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