Diglio Simoni

About Diglio Simoni

AI architect and computational scientist with 40 years of hands-on experience shipping systems at the intersection of artificial intelligence, knowledge graphs, and high-performance computing. Distinguished Member of the Technical Staff at Wipro (1 of 16 in employees), where I have led AI/ML projects for United Healthcare (Optum), T-Mobile, Apple, SABIC, Halliburton, Comcast, Sony, and Credit Suisse. Four US patents (two granted, two pending) spanning semantic analysis, knowledge-graph-driven fault identification, adaptive noise reduction, and automated grammar extraction. Career includes NASA/JPL (SAR processing on the Magellan mission to Venus), NASA/Ames (VR simulation for Space Shuttle analysis), Boston University\'s Center for Adaptive Systems, and RTI International (epidemic modeling, cancer informatics, NCI-funded projects). Published in Vision Research, Journal of Vision, TITB, and Concurrency: Practice and Experience. Core expertise: AI, machine learning, NLP, and information extraction. Knowledge graphs, semantics, and ontology development. High-performance, distributed, and cloud computing. Database management, information integration, data harmonization, and data sharing. Computer vision, scientific visualization, and data mining. Information retrieval, internet information access, and information discovery in social and distributed networks. I build things — from ontology-driven search systems indexing 80 million documents to AIOps knowledge graphs to neural models of visual attention. I write production code, design system architectures, and publish peer-reviewed research. I drive transformation and innovation. Fluent in English and Spanish.

Experience

1. Distinguished Member of the Technical Staff (Ai, Hpc, and Data Science)

   Wipro

   Aug 2013 — Present

   Lead Artificial Intelligence (AI) and Intelligent Augmentation (IA) Architect. Expert in AI/ML, Computational Modeling, Big Data and HPC. Responsible for architecting and designing innovative solutions that involve pre-engagement consulting, planning, and road mapping of architectural evolution paths, due-diligence, technical scoping, product selection, solution design and development of proof-of-concepts, project implementation, deployment, and ongoing client interaction. Extensive experience in Machine Learning (Advance Data Mining Techniques, Predictive Analytics, Natural Language Processing, Semantic Analysis, Pattern Recognition), including specific techniques (Supervised/Unsupervised/Semi-Supervised/Reinforcement Learning, Unsupervised Learning, Decision Trees, Support Vector Machines, Neural Networks, Ensemble Methods, Bayesian approaches Logistic regression, Random Forests) and their application to Big Data, often through the use of complex computational models running on HPC resources. Broad expertise in several areas of science, engineering, government and industry.

Education

• Syracuse University

  MS, Computer Science

  1991 — 1995

• Syracuse University

  MS, Computer and Information Science

  1991 — 2005

• Boston University

  Graduate work, Cognitive and Neural Systems

  1990 — 1991

• The College of Wooster

  BA, Computer Science

  1985 — 1989

• Prescott

  Cambridge University English Certificate, English, Computer Science, Mathematics

  1971 — 1982

Skills

• Apache
• Scientific Visualization
• Computer Graphics
• Linux
• Computational Biology
• Algorithms
• Computer Science
• Operating Systems
• Data Mining
• Cloud Computing
• Java
• Supercomputing
• Perl
• Parallel Computing
• Machine Learning
• Scientific Computing
• Fortran
• Python
• Simulations
• Openmp
• Pattern Recognition
• Big Data
• System Architecture
• Bioperl
• High Performance Computing
• Image Processing
• Cluster
• Infiniband
• Unix
• Artificial Intelligence
• Clustering
• C++
• Virtual Reality
• Distributed Systems
• Scalability
• Parallel Programming
• Software Engineering
• Xml
• Database Design
• Mathematical Modeling