Data Scientist Software Engineer
Resume:
Nicholas C. Bucciarelli.
*****@*******.*** 607-***-****
NFORMATION TECHNOLOGY EXECUTIVE
Leading innovation in IT organizations to drive success for Fortune 500 Companies Results-driven New Product Innovation Business Executive, Chief Architect and Director with proven success building and leading global teams of seasoned technical professionals and designing and implementing advance technologies, enterprise infrastructures and software applications. Adept at solving complex technical problems, managing profit and loss centers, and leading innovation in Information Technology, Financial Services, and Telecommunications industries. Expertise in: Enterprise Architecture ǀ Leadership ǀ Business Development Enterprise Application Development & Modernization Data Science Quantum Software Engineering Application Performance Tuning and Scaling Organization Building P&L Management, (LinkedIn Profile) PROFESSIONAL EXPERIENCE
Pennsylvania State University Advanced Research Laboratory
(T3 investigation dated 7/6/24, Secret clearance eligibility 7/11/24 by DOD CAS) Senior Data Scientist & Quantum Software Engineer Senior Solution Development Architect 2024 – Present Support Proposed Solutions SAP S/4 HANA, Enterprise Architecture, Machine Learning, etc.
Algorithm Development: Designed and implemented quantum algorithms for optimization problems, such as the Quantum Approximate Optimization Algorithm (QAOA) and Grover's Search
Quantum Simulation: Simulated quantum systems using tools like Qiskit, Cirq, and Quantum Development Kit to analyze the behavior of quantum algorithms on various quantum hardware.
Quantum Error Correction: Researched and applied quantum error correction techniques to improve the reliability and fault tolerance of quantum computations.
Quantum Machine Learning: Integrated quantum computing with machine learning models to develop hybrid algorithms, enhancing classical machine learning performance with quantum techniques
Led comprehensive security assessments for enterprise clients, identifying critical vulnerabilities and recommending tailored solutions to mitigate risks, including expertise in pre-quantum computing threat analysis and post-quantum cryptography migration strategies. (This covers assessment experience, needs identification, and pre-quantum assessment.)
Designed and implemented robust security architectures incorporating cutting-edge technologies, such as quantum key distribution (QKD) and post-quantum cryptographic algorithms, ensuring alignment with industry best practices and regulatory compliance (e.g., NIST, ISO 27001). (This highlights implementation skills and knowledge of specific quantum security solutions.)
Evaluated organizational security maturity levels, conducting readiness assessments for post-quantum cryptography adoption, and developing phased migration plans to minimize disruption and maximize long-term security posture. (This addresses security readiness evaluation and planning.)
Possess deep understanding of quantum computing's impact on current cryptographic systems and expertise in emerging quantum-resistant cryptographic techniques, enabling proactive protection against future threats. (This emphasizes your specific quantum security knowledge.)
Data Analysis: Performed data cleaning, preprocessing, and exploratory data analysis using Python libraries such as Pandas, NumPy, and Matplotlib to uncover insights from large datasets.
Machine Learning: Developed and optimized machine learning models using Scikit-learn, TensorFlow, and PyTorch for classification, regression, and clustering tasks.
Big Data Technologies: Utilized big data technologies such as Hadoop, Spark, and Hive to process and analyze massive datasets efficiently.
Data Engineering: Designed and implemented data pipelines for ETL (Extract, Transform, Load) processes, ensuring reliable and efficient data flow across systems
System Design and Architecture: Led the design and architecture of comprehensive SAP S/4HANA solutions tailored to meet specific business requirements and industry standards.
Integration Expertise: Designed and implemented seamless integrations between SAP S/4HANA and other enterprise systems (e.g., CRM, SCM, HR) using SAP PI/PO, SAP Cloud Platform Integration (CPI), and APIs. Nicholas C. Bucciarelli.
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ORACLE CORPORATION 2019 - Present
Senior Independent Consultant to Oracle Clients
Bio-Informatics Subject Matter Expert - Bio-Tech and Clinical Based Systems, Cerner Millennium
Clinical and Bio-Medical Organizations with :Oracle ERP platforms: Cerner Millennium, NetSuite, PeopleSoft, JD Edwards, EBS, Oracle Fusion Cloud ERP, Oracle Finances, Oracle HCM, Oracle SCM, Oracle Financials, Oracle Visual Builder Studio, Oracle Redwood (JavaScript Extension Toolkit), Oracle Next Gen Experience Technical Support and Project Management for Oracle Cloud-based systems: SCM, Project Management Portfolio (PPM), Oracle WebCenter Forms Recognition, Financials, GRC, Fusion-ERP, Commerce, CPQ (Configure, Price, Quote). Additional organizations in the clinical and bio-technology are as follows: Epic, Altarum/University of Michigan School of Medicine, University of Rochester School of Medicine, Athena Health, MEDITECH, eClinicalWorks, Oracle Health Sciences Clinical Development Analytics, Clinical One Unified Platform, Prospect Medical Holdings, etc.
UNISYS Corporation
Senior Data Scientist Machine Learning & Quantum Mechanics Senior Solution Development Architect 2020 – 2024 Support Solution Management and Solution Engineering
Supported Solution Management and Solution Engineering Initiatives for our Research and Development Labs
Developed Machine Learning Algorithms, Natural Language Processing Linguistics Capabilities, Robotic Process Automation Cognitive Agents, and BPMN models for AIOps CIS Automation and the re-engineering and enhancements of solution-based products, for example, Stealth Digital Identity Management and Access, DevSecOps, etc.
Developed Quantum Annealing Models and Machine Learning Models for the Commercial Airline Industry (US and EU), leveraging Azure Quantum services for quantum computing tasks
Developed Machine Learning and Deep Learning Algorithms using Splunk SDK/MLTK to build anomaly detection systems for our Stealth Security Platform SasS across multiple MSPs and On-Premise deployments as well as the algorithms to understand the behaviors of the anomalies detected, which is known as abnormalities
Apply Machine Languages and Open Source Libraries: Python, R, Java/JavaScript,, Julia, C++/C#, GO, Scala, Typescript, PyTorch, TensorFlow, PySpark, Neuro-Linguistic Programming (NLP), MUMPS, SAS, Lau, MALLET is a Java-based package for statistical natural language processing etc.,
Responsible for the re-engineering and enhancements of solution based products, for example, Stealth Digital Identity Management and Access, DevSecOps, etc.
Responsible for advance research and application of AIOps technologies, for example, ServiceNow/Loom, Big Panda, Open Source Apache Kafka which also includes building Rapid Prototypes for evaluation and support of automation and reporting
Support Azure (Azure Data Platform, ADF, Data Bricks, Data-Lake, Azure Synapse), AWS, Google platforms and infrastructure technologies that are Unisys based CloudForte Customers as well as those On-Premise VMWare deployments
Develop User Interfaces based on ReactJS and use statistical reporting technologies such as Microsoft Power BI, Grafana, Tableau, etc.,
Apply Machine Learning Libraries, for example, Sklearn with Python for various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means and DBSCAN, and have interoperate ability with Python numerical and scientific libraries such as NumPy and SciPy Numpy which is a math library for python enabling computational tasks
Apply MxNet, a machine-learning framework with APIs to work with R, Python and Julia which has been adopted by Amazon Web Services and have used PyTorch for developing dynamic computational graphs for processing variable-length inputs and output while using Torch, a computational framework supported by an API developed in Lua for supporting Machine Learning Algorithms
Used TensorFlow, math library, for Machine Learning Applications such as Artificial Neural Networks for research and simulation
Used Apache OpenNLP supporting tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, language detection and coreference resolution
Used StanfordNLP which is Python NLP package which contains to establish data pipelines to convert a string containing human language text into lists of sentences and words, generate base forms of those words as their parts of speech, LDA algorithm as a topic extractor, and Word2vec for producing word embeddings
Leveraged AWS services, including Redshift and Glue, for data processing, storage, and analysis in support of machine learning model development and deployment, for example used Glue to extract, transform, and load (ETL) large datasets from various sources into Redshift for efficient querying and feature engineering. This enabled faster model training and improved the accuracy of anomaly detection algorithms for the Stealth Security Platform, and utilized AWS Redshift as a data warehouse to store and analyze massive volumes of security logs and user activity data which was then used to train machine learning models for anomaly detection within the Stealth Security Platform.
Employed AWS services, including Redshift and Glue, to build a scalable data pipeline for the Stealth Security Platform's anomaly detection system. Glue crawlers were used to discover and catalog security logs stored in S3. These logs were then transformed and loaded into Redshift using Glue ETL jobs, and leveraged AWS infrastructure, including Redshift and Glue, to support the Nicholas C. Bucciarelli.
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deployment and scaling of machine learning models for the Stealth Security Platform. Redshift provided a centralized repository for storing model predictions and performance metrics, while Glue facilitated data pipelines for real-time scoring and anomaly detection
Leveraged GCP Cloud Data Fusion, a fully managed, cloud-native data integration service, to build and maintain ETL pipelines and utilized its visual interface and pre-built connectors to streamline data integration processes.
Employed Dataproc, a managed Hadoop and Spark service, for complex data processing and transformation tasks, particularly those involving large datasets and requiring Spark's distributed computing capabilities. Integrated Dataproc with other GCP services to create comprehensive data processing workflows and utilized GCP's Data Catalog to discover, catalog, and manage data assets residing in BigQuery, Cloud Storage, and other GCP services, ensuring data governance and accessibility Calvary Robotics Corporation 2019 – 2020
Chief Product Architect / Technology and Data Science Manager, (Reported Directly to the CFO) Supported and Managed New Product Development and Disruptive Technologies
Provided Monthly Updates of the advancements made to the CEO and CFO as well as to the United States Navy Undersecretary, Key Commercial Accounts at the Executive Level, and the Strategic Partnerships with MIT and CMU
Responsible for Artificial Intelligence (AI) Research and development of Machine Leaning capabilities for automated manufacturing systems across diverse manufacturing environments and Product Research and New Product Development of Machine Learning capabilities across consumer-based products and federal government civilian agencies.
Responsible for Artificial Intelligence (AI) Research and development of Machine Leaning capabilities for automated manufacturing systems across diverse manufacturing environments
Responsible for Collaborative New Product Engineering and Integration Initiatives with technology driven organizations for Neural Network driven Robotics capabilities for New Products to the marketplace, Software Intensive New Product Development, and for Responsible for advanced Information Systems/Technologies in support of Product Development Han-Tek Automation
Manager of Software Product Development & Analytics Engineering, (Reported Directly to the CEO and CFO) 2019 – 2019 Led New Product Development
Provided Monthly Updates of the advancements made to the CEO and CFO and Key Commercial Accounts at the Executive Level.
Interfaced with customer engineering and end-user contacts during project design, development and implementation cycle.
Designed, developed, and implemented software control, execution programs and applications to manage manufacturing processes in a near real-time environment, for example, Warehouse Control Systems, Programmable Logic Controllers, Human Machine Interfaces using Ignition v8, Analytics based on Python, etc.,
HEALTHCARE
Senior Informatics and Clinical Information Technology Executive Consultant 2017 – 2019 Led technology initiatives and deployment for John Hopkins, Columbia Presbyterian, Emory, Vanderbilt, CDC, NIH, United HealthCare
Provided Weekly Updates of the advancements and progress to Chief Medical Officers and CIO.
Responsible for design and development of HL7 integrations with FHIR. YAML, RAML, SOAP, and RESTful for cross platform applications interoperability to Health Information Management Systems across a myriad of systems, for example, EPIC, dbMotion, Cerner Millennium, NGEN, Meditech, MEDENT, Lawson, RHIO, etc.,
Responsible for the development of Business Intelligent initiatives and strategy for leveraging Public Cloud technologies and domains, for example, Azure and AWS, supported by our Cloud Center of Excellence (CCoE) and the establishment of Virtual Private Clouds within the context of a Public Cloud provider,
Develop bioinformatics algorithms and machine learning models to identify and extract relevant features from multi-omics data.
Employ feature selection techniques to identify the most informative features for predicting clinical outcomes or classifying disease subtypes within each domain.
Explore dimensionality reduction techniques to handle high-dimensional omics data and improve model performance
Develop standardized data formats and ontologies to facilitate interoperability and analysis across different datasets and domains. Nicholas C. Bucciarelli.
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UNISYS CORPORATION
Senior Executive Enterprise Architect,
Technology Research and New Product Development, (Reported Directly to the CIO) 2012 – 2015
Provided Monthly Updates of the advancements made to the CEO, CIO, and CFO
Led global technology research and re-engineering efforts and teams in the areas of Analytics/Artificial Intelligence, Cloud Infrastructure, and Enterprise Architecture initiatives across multiple industries in support of the Corporate Strategy and Objectives.
Responsible for assessment of IT/IS projects and supporting engineering processes relative to their capabilities and alignment to customer stated objectives and requirements,
Responsible for advanced technology development initiatives and re-engineering of legacy technologies for Public and Private Cloud enablement that addressed SaaS, PaaS, IaaS, SOA, etc.., with Azure, AWS, Oracle, IBM, Cloud providers, etc.,
Responsible for Technical Risk Management, Solution Development, and Quantitative Measures, Responsible Solution Architecture and Development for critical and highly visible projects, evaluating current and leading technologies and architecture methods to improve quality of solutions delivered.
Responsible for Business Process RE-engineering of policies and procedures that comprised their Quality Management System into BPMN models predicated on standards based on CMMI, ISO, Lean, 4+1 Kruchten, Agile, and many more, and conduit to Carnegie Mellon University for these efforts ORACLE CORPORATION
Senior Director for Product Development and Enterprise Architecture Initiatives, Led Consulting, New Product Development, Technology Research/Development, Managed Cloud Services, 2006 – 2017
Provided Monthly Updates of the advancements made to the CEO, CIO, and CFO
Led the as a key team members global technology research and re-engineering efforts for the past six years in the areas of Analytics/Artificial Intelligence, Cloud Infrastructure, Engineered Systems, Enterprise Architecture, Technology/Application Re-engineering and Internal Governance/Continuous Improvement initiatives across multiple industries in support of the Corporate Strategy and Objectives with the help of True Cloud Method (TCM) to drive these implementations,
Responsible for re-engineering and transitioning current Oracle Middleware technologies and ERP applications to OMCS Public and Private Cloud infrastructures based on Oracle Fusion initiatives which included new development of these technologies and applications for the past eight years,
Responsible for Product Development integration and security initiatives for OMCS Public Cloud and Private Cloud Deployment with 3rd party Public Clouds, SAP HANA, Azure, AWS, etc.,
Responsible for Analytics and Artificial Intelligence development for NLP initiatives OMCS with the development of Neural Networks and Computational Models,
Responsible for design, development, and deployment of Oracle OMCS Public and Private Cloud Services, for example, Oracle RightNow Cloud Service, Salesforce CRM and Health Cloud Service, HCM, FIN, Analytics, etc.., which also included the adapters for integration and application interoperability,
IBM CORPORATION
Director of Middleware Technology Development and Clinical Analytics 2004 – 2006 Led New Product Development in Healthcare Industry for Clinical and Bio-Medical, (Reported to the VPs of Several Business Units)
Provided Monthly Updates of the advancements made to the Senior Vice-Presidents for several Business Units)
Responsible for development of SOA technologies for commercial and government deployment,
Responsible for NLP initiatives for medical research in bioinformatics,
Responsible for SAP R/3 Business Re-engineering and integration with CRM and SCM,
Responsible for deployment of PDM/PLM and integration with CAD/CAM/CAE/CIM and SAP R/3,
Responsible for assessing IT/IS projects and supporting engineering processes. Nicholas C. Bucciarelli.
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LOCKHEED MARTIN CORPORATION
Director of Software New Product Development, Engineering Standards, Enterprise Architecture, Lean/Six Sigma Initiatives 1998 – 2004
Led the design and development of the Presidential Helicopter for the United States Department of Defense, reported directly to the OMB and global technology research and re-engineering efforts and teams in the areas of Analytics/Artificial Intelligence, Cloud Infrastructure, and Enterprise Architecture initiatives for the Department of Defense
Lead the design and development of a CRM enterprise system for the UK National Healthcare Service, reported progress directly to the Prime Minister’s Office and provided updates to the British Parliament on a routine basis.
Responsible for Master Blackbelt Corporate Program for applying Lean/Six Sigma methods to architecture and technology development for the US Department of Defense and Commercial projects and attainment of CMMI Level 5 of the Staged Model for General Motors and institutionalization of a Quality Management System that addressed product development and quality engineering practices. ADDITIONAL PROFESSIONAL EXPERIENCE
Xerox Corporation, Director of Software Engineering and Enterprise Architecture 1995 -1998
Eastman Kodak, Director Research and Development for New Products and Software Engineering 1991 – 1995
Bausch and Lomb, Software Engineering Manager 1985 – 1991
Gannett Newspapers / USA Today, Data Center Manager and application Development 1980 – 1985
General Electric Corporation, Computer Programmer 1976 – 1980 ADDITIONAL RELEVANT EXPERIENCE
IBM and Lockheed Martin Enterprise Senior Technical Enterprise Systems Architect
Oracle Enterprise Senior Technical Enterprise Systems Architect
HP Enterprise Senior Technical Enterprise Systems Architect
Zachman, TOGAF, DODAF, SOA, Master Backbelt – Six Sigma, Motorola Research Institute
IBM Application Developer Watson v3 and Cúram V6.0.4, IBM Solution Implementer for Supply Chain, Marketing eCommece INDUSTRY EXPERIENCE
MFG (Discrete, Chemical, Consumables, Process, Mass), Service Sectors (Retail, Banking/Investment, Insurance, etc.), Medical (Clinical/Healthcare, Research, PHARMA, etc.), Academia (Collegiate, Research, Standards, etc.), Pharmaceutical, Optics, Imaging, DoD and Military Branches, Federal Civilian Agencies (GSA, CDC FDA, IRS, etc.), State/Local Governments, International Entities (UN, IMF, World Bank, EU, etc.), CME industries, Financial Investment and Brokerage, Supply Chain Management and Manufacturing, Customer Service, etc... EDUCATION
Doctorate in Artificial Intelligence - George Washington University, (Expected Data of Graduation 2027)
Micro Masters – Quantum Mechanics, Massachusetts Institute of Technology (MIT), 2023
Micro Masters – Quantum Mechanics, Stanford University, 2020
Micro Masters – Digital Enterprise Architecture, Indiana University Kelley School of Information Technology (2021)
Master of Sciences (MS) – Software Engineering, Rochester Institute of Technology (RIT), 2004
Master of Business Administration (MBA) – Information Systems Management (RIT), 2004
Bachelor of Arts (BA) – History and English, Saint John Fisher University, 1979
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