Arash Nemati Hayati

About Arash Nemati Hayati

Highly accomplished technology executive with extensive experience leading AI, data, and product engineering initiatives that drive innovation and enhance customer experiences across healthcare and scholarly technology domains. Skilled in designing and deploying advanced AI models including NLP, retrieval-augmented generation, and large language models while fostering cross-functional collaboration and co-creating intellectual property across business units. Adept at building scalable data and analytics infrastructure, as well as high-performance computing environments, to support enterprise AI strategies and accelerate product development. Recognized for combining deep technical expertise with strategic leadership to deliver transformative solutions and enable sustained business growth.

Experience

1. Director of Data & Analytics Product Engineering

   IEEE

   Sep 2022 — Present · NJ, US

   Championed an AI-first strategy for customer-facing products, doubling internal investment across the enterprise while cutting development costs and time-to-delivery by 60%.Led the design, development, and deployment of AI-powered, customer-facing products, enhancing search, comprehension, and analytics over scholarly text using advanced statistical, generative, and predictive modeling techniques (e.g, NLP including NER, text embeddings, transformers; fine-tuned LLMs like GPT-X, PEFT, LoRA; and retrieval-augmented generation RAG such as Query transformation, multi-modal search).Achieved customers’ approval in key performance metrics (KPIs), including willingness to buy, usefulness, and novelty during alpha and beta testing.Established scalable big data analytics infrastructure, including a data lake, data warehouse, high-performance computing clusters, and distributed search and analytics tools to support the full lifecycle of strategic, AI-driven customer-facing products. Reduced recurring cloud costs by 40%.Created and protected AI-focused intellectual property (IP) co-owned across marketing, sales, design, and IT, reducing reliance on third-party vendors for innovative, revenue-generating model development.Diversified data and analytics customer-facing products by introducing unique measurement and simulation data in collaboration with top global research institutes in domain-specific areas in Science, Technology, Engineering, and Mathematics (STEM).

Education

• K. N. Toosi University of Technology

  Bachelor of Science - BS, Mechanical Engineering

  2007 — 2011

• University of Utah

  Doctor of Philosophy (PhD), Mechanical Engineering

  2013 — 2018

• University of Utah

  Master of Science (M.Sc.), Mechanical Engineering

  2013 — 2016

Skills

• Ansys
• Fortran
• Engineering
• Parallel Programming
• Microsoft Office
• Hadoop
• Matlab
• Modeling
• Computational Science
• Solidworks
• Numerical Analysis
• Shell Scripting
• Machine Learning
• Kanban
• Scientific Computing
• Mathematical Modeling
• Openmp
• Research
• Abaqus
• Tensorflow
• Gpu
• Data Analysis
• Finite Element Analysis
• Gambit
• Computational Engineering
• Software Integration
• Spark
• Cuda
• Agile Scrum
• C
• Programming
• C++ Language
• Algorithms
• Linux
• C++
• Mechanical Engineering
• Statistical Modeling
• Software Development
• Python
• Latex