Benjamin Manning, Ph.D. ♿ Email and Phone Number
Benjamin Manning, Ph.D. ♿ work email
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Benjamin Manning, Ph.D. ♿ personal email
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Over 20 years of comprehensive leadership and hands-on experience in engineering. Director of Artificial Intelligence and Big Data, Seasoned Chief Data Officer and previous Principal Data Scientist/Data Engineer and Senior AI Engineer. Expert-level knowledge in deep learning, generative AI, and MLOps. Strong background in Lean Six Sigma, driving innovation, efficiency, and excellence in AI and engineering projects and education. Advocate for disabilities in #STEM.Licenses & Certifications (see license section)Skills I have experience with (divided by areas and methods/processes): LLM & Agentic AI (Models/Libraries/Frameworks/Services):Claude, Falcon 180B, Llama 2, Bloom, Mistral 7B, LangChain/LangGraph, Haystack, Hugging Face Transformers, AgentGPT, CrewAI, AWS Bedrock, Autogen, Semantic KernelComputer Vision: YOLO, CNN. TensorFlow, Pytorch Machine Learning Model Deployment Stacks: AWS EKS via Kubeflow, Sagemaker to EC2, Kubeflow to KServe Vertex AI to Kubernetes with Kubeflow Flask on EC2 or GCP compute resource with REST Served model as a microservice (usually Lambda or GCP Cloud Function) Data Science: Python (Pandas, MatPlotLib, Sci-Kit Learn, Numpy, PySpark) R Julia IBM CP4D AWS Athena, Quicksight, EMR, Elasticsearch, AWS Sagemaker GCP AI Studio (Vertex AI) Azure Databricks Keras, Tensorflow, Tensorflow Federated, TinyML, PyTorch, FATE Data Engineering:Airflow (Orchestration of pipelines)AWS GluePySparkScalaEMRMLOps: Kubeflow, Airflow, MLFlowCI/CD: GitLab, CodeCommit, CodeDeploy IaaS: TerraForm, Cloudformation, Ansible Containers: Docker, Kubernetes, AWS EKS Data Ingestion: Kafka, NiFi, PubSub Warehouses: Snowflake, Redshift, BigQuery Languages: Python, R, Julia, SQL, C, Rust Leadership:Strategic Vision and PlanningInnovation ManagementTeam Building and CollaborationProject ManagementEthical AI GovernanceRisk ManagementChange ManagementCross-functional LeadershipMentoring and CoachingStakeholder EngagementData-Driven Decision MakingLean Six Sigma MethodologiesAgile MethodologiesConflict ResolutionContinuous Improvement InitiativesPerformance OptimizationEffective CommunicationOperational ExcellenceBudget ManagementTechnology EvangelismNumerous project examples and details on my resume
Georgia Institute Of Technology
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Georgia Institute Of TechnologyAtlanta, Georgia, United States -
Company OwnerAgilehippo.Io Oct 2022 - PresentAs the owner and founder of AgileHippo.io, I am dedicated to advancing the field of artificial intelligence by delivering cutting-edge solutions that prioritize security, trustworthiness, and innovation. With expertise in multi-agent AI architectures, generative AI, and AI security auditing, I empower organizations to confidently deploy AI systems that are ethical, scalable, and resilient.With over 20 years of industry experience, I specialize in bridging the gap between cutting-edge AI technologies and practical business applications. My mission is to help businesses unlock the full potential of AI while ensuring transparency, compliance, and collaboration through secure and innovative architectures. I am passionate about fostering a future where AI drives growth and innovation responsibly and sustainably. -
Director Of Artificial IntelligenceStable Kernel Apr 2024 - PresentAtlanta, Georgia, UsAs the Director of Artificial Intelligence and Big Data, I am responsible for leading the strategic planning and execution of AI and big data initiatives across the organization. My role oversees the development of innovative AI models and big data analytics solutions to drive business growth and operational efficiency. I collaborate with cross-functional teams to integrate AI technologies and data-driven insights into various business processes. manage a team of data scientists and engineers, ensuring the adoption of best practices in data governance, data science, data engineering and machine learning. -
Principal Data EngineerStable Kernel Sep 2023 - Apr 2024Atlanta, Georgia, UsDesigned and implemented scalable data architectures leveraging the full suite of Amazon Web Services (AWS) data engineering tools, including Redshift, Glue, Athena, Lake Formation, and S3, to build high-performance and reliable solutions. Spearheaded the integration of data lakes and data warehouses into large-scale systems, optimizing data storage, retrieval, and processing for enterprise needs. Provided technical leadership and guidance in the adoption of innovative data management technologies, ensuring solutions met industry best practices. Collaborated with cross-functional teams to align data engineering strategies with business objectives, driving impactful outcomes and enabling data-driven decision-making.
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Research FacultyGeorgia Institute Of Technology May 2024 - PresentAtlanta, Georgia , UsAs a Senior Research Technologist at the Georgia Institute of Technology, I am pioneering advanced multi-agent large language model architectures and generative AI systems designed to revolutionize educational technology within the Online Master of Science in Computer Science (OMSCS) program. My research focuses on developing sophisticated AI-driven learning platforms that leverage collaborative multi-agent frameworks to create personalized, adaptive, and intelligent educational experiences. By integrating cutting-edge generative AI technologies, I am working to transform traditional online learning paradigms, creating dynamic interaction models that can simulate expert tutoring, provide nuanced feedback, and generate contextually rich learning content that adapts to individual student needs and learning styles.Key research areas include:- Advanced multi-agent interaction protocols for educational AI systems- Generative AI-powered adaptive learning environments- Intelligent tutoring systems using large language model ensembles- Personalized learning content generation and curriculum adaptation- Computational pedagogical strategy development
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Artificial Intelligence EngineerLockheed Martin Jan 2023 - Oct 2023Bethesda, Md, UsAs a key member of the Lockheed Martin Artificial Intelligence Center (LAIC), I spearheaded the advancement of a cutting-edge Generative AI ecosystem, driving transformative innovations across complex technological domains. My strategic focus centered on harnessing generative AI's revolutionary potential through comprehensive system design, advanced multi-modal model development, and pioneering application frameworks that redefine technological capabilities.My research and implementation approach emphasized:Architectural development of generative AI systems with multi-modal integration capabilitiesAdvanced prompt engineering and meta-learning strategies for adaptive AI modelsSophisticated knowledge transfer and generation techniques across complex problem domainsScalable generative AI infrastructure design leveraging state-of-the-art MLOps and DataOps practicesSpecifically, I drove AI transformation through:- Developing innovative generative AI tools that enable rapid prototyping and solution design- Creating comprehensive knowledge exchange platforms for AI/ML developers- Implementing advanced computer vision and generative modeling techniques- Designing and consulting on AI transformation strategies across multiple organizational teamsMy consulting work concentrated on translating theoretical generative AI capabilities into practical, mission-critical applications, with a particular emphasis on:- Adaptive machine learning model architectures- Cross-domain knowledge generation systems- Intelligent simulation and scenario modeling- Autonomous system design and optimizationBy dedicating 50% of my role to cross-team consulting, I not only advanced Lockheed Martin's AI capabilities but also cultivated a culture of technological innovation and collaborative expertise development in cutting-edge artificial intelligence technologies. -
Senior Data Scientist / Senior Data EngineerIbm Mar 2021 - Jan 2023Armonk, New York, Ny, UsAs a Senior Data Scientist and Data Engineer in the IBM Garage, I specialized in leading data-driven projects for US Industrial clients, particularly for Fortune 100 companies. My role was pivotal in orchestrating cross-functional teams to develop Minimum Viable Products (MVPs) using advanced design methodologies centered around data science and data engineering principles.In this capacity, my focus was on employing Model-Based Systems Engineering to craft innovative data science solutions. This approach was instrumental in integrating comprehensive, system-wide enterprise data and machine learning models into various aspects of application architectures. My leadership ensured that these integrations were seamless across operations, user interfaces, and had a tangible impact on business strategies.Working collaboratively with cross-functional teams, I steered the development and implementation of data science projects from conception to execution. My role emphasized not just the technical aspects of data science and engineering but also the strategic application of these disciplines in creating impactful solutions for top-tier industrial clients.Project Examples:1. A data science MVP for a leading retail chain, utilizing machine learning algorithms to predict product demand accurately.2. An MVP for a healthcare provider to assess patient risk using predictive analytics. The project utilized Electronic Health Records (EHRs) and adhered to HIPAA regulations3. An MVP developed for a manufacturing client, aimed at optimizing their production processes using AI and data science. The project utilized sensor data and applied machine learning techniques using Python, Keras, and TensorFlow4. An MVP designed for a major oil and gas industry client, focusing on enhancing safety using Federated Learning and Computer Vision using a combination of Python, TensorFlow Federated, and OpenCV, all within a Kubernetes-managed environment -
Chief Data OfficerSocratic Arts Mar 2021 - Jan 2023As Chief Data Officer at XTOL, which is a sister company of Socratic Arts, I spearheaded the development and implementation of the company's comprehensive data strategy, aligning data governance with business objectives. Highlights:- Led the integration of state-of-the-art data management and analytics tools, increasing data accessibility for analytics purposes by 35% and supporting a more data-driven decision-making culture.- Expanded the data science mentoring team by 50% and enhanced team capabilities through targeted training programs, significantly improving project delivery times and innovation.- Enhanced data accuracy by 40% through the implementation of rigorous data validation protocols and quality control measures across all departments.- Reduced annual data-related costs by 20% by streamlining data management processes and optimizing data storage solutions and implementing new processes to automate existing services- Identified and eliminated several bottlenecks in our ETL (Extract, Transform, Load) processes. Implementing automation and optimizing the data pipelines resulted in a significant reduction in processing time, improving efficiency by 40%. - Utilizing Lean Six Sigma's waste reduction principles and identifying redundant and obsolete data, I streamlined our storage requirements, leading to a 25% reduction in data storage costs. - Through targeted improvements and more personalized data-driven strategies, I achieved a 20% increase in customer satisfaction scores. - Leveraging a focus on quality and process improvement, I enhanced our data governance framework by implementing more robust data governance policies and continuous monitoring mechanisms. I reduced data compliance issues by 35%. - Applying Lean Six Sigma methodologies to our project management processes, I streamlined workflows and eliminated inefficiencies, resulting in a 25% reduction in project delivery time. -
Senior Data Scientist / Senior Data EngineerSocratic Arts Apr 2014 - Mar 2021I assist Fortune 100 companies and energy partners with their Data Science, Data Engineering and Machine Learning needs such as migrations, project, educational and team development and management, governance and implementation. Example projects:Virtual Environment Simulation for Autonomous VehiclesDeveloping an Interactive AI Language TutorImproving Solar Radiation Prediction ModelsRetail Customer Behavior AnalysisHealthcare Predictive AnalyticsRetail Customer Segmentation and PersonalizationEnvironmental Data Analysis for Sustainable AgricultureE-commerce Data Analytics PlatformHealthcare Data Aggregation and AnalysisIoT Data Management for Smart CitiesMLOps Pipeline for a FinTech ApplicationAutomated Data Pipeline with Redshift and AirflowAutomated Traffic Control SystemRenewable Energy Grid IntegrationPharmaceutical Production Process OptimizationExample projects types (mainly business, engineering and IoT):Created and deployed production predictive models for Customer 360 Lifecycle using Supervised and Unsupervised Learning with R, Python, Jupyter and AWS/Sagemaker.Created and Implemented Sentiment Analysis and Automated Keyword Extraction projectsSpark, AWS (EMR) and with Spark and NLTK and/or Spark/MLLibOps / Deployment - MLflow or Kubeflow or Argo and EKS, Seldon, Tensorflow Server, Flask/EC2
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Senior Data EngineerGeorgia Institute Of Technology Mar 2021 - Oct 2021Atlanta, Georgia , UsMy research was at the intersection of Big Data Engineering, Machine Learning, and Cyber Operations. Work included Big Data Analytics and Big Data Engineering (ETL) with Spark, DevOps within Kubernetes, and streaming data ingestion with Kafka.
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Data Science FacultyThe University Of Texas At Austin Apr 2014 - Jan 2021Austin, Tx, UsNightly via Experiential Teaching Online, currently serving as the Senior Data Science mentor at University of Texas - Austin CPE where I mentor adult professional education students in Data Science and Machine Learning. -
Systems Engineering FacultyUniversity Of Georgia College Of Engineering Jul 2016 - May 2019Athens, Ga, UsEngineering instructional faculty: Areas of focus Informatics, Systems Dynamics, Systems Engineering, Computational Engineering Methods, Senior Capstone.College of Engineering Diversity Task Force Initiative RepresentativeFounder and Sponsor of Data Dawgs - Interdisciplinary Data Science Student Club Founding member of Georgia Informatics Institutes -
Lead Systems EngineerHashmap Sep 2018 - Apr 2019Consulting role overseeing the creation and growth of Systems Engineering vertical for this Big Data consulting company for energy clientsCreated numerous analytics pipeline pipeline migrations for Oil and Gas customers using AWS Kenesis, Snowflake, AWS S3 and AWS QuicksightCreated Machine Learning solutions for drill process optimization using Python, GCP BigQuery, AIgym, GCP AI Studio or NiFi, AWS Kinesis and AWS Sagemaker.Assisted with prem-to-cloud migrations using Spark and Databricks on Azure.
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Program Manager And Big Data ArchitectDevry University Nov 2007 - Apr 2015Lisle, Illinois, UsSenior leadership position managing a large portfolio of curriculum development projects and programs for sixty-six campuses and online. Created data driven solutions for managing national persistence and completion rates; planning and implementation of innovation initiatives. Worked with Python, R, Hadoop, AWS, SQL, SAS -
Devops / Lamp Stack DeveloperBlake Design Group Jan 2005 - Jan 2015Founder and Owner of this analytics and web development company. Clients included McKesson, Equifax and AT&T. Built analytics dashboards and systems with PHP, MySQL, D3.js, AngularJS, Python, Django, Drupal
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Software EngineerNeill Development Jun 2002 - Nov 2007
Benjamin Manning, Ph.D. ♿ Skills
Benjamin Manning, Ph.D. ♿ Education Details
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The University Of GeorgiaComputer Engineering -
Colorado State UniversitySystems Engineering
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The University Of Southern MississippiEngineering Technology
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The University Of Southern MississippiEngineering Technology
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Georgia Institute Of TechnologyCybersecurity
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Georgia Tech Scheller College Of BusinessLean Six Sigma
Frequently Asked Questions about Benjamin Manning, Ph.D. ♿
What company does Benjamin Manning, Ph.D. ♿ work for?
Benjamin Manning, Ph.D. ♿ works for Georgia Institute Of Technology
What is Benjamin Manning, Ph.D. ♿'s role at the current company?
Benjamin Manning, Ph.D. ♿'s current role is Director of Data and AI | Leadership in AI Innovation | GenAI Architect, Full Stack Data Scientist and Data Engineer | Expert in Building and Optimizing Intelligent Systems, AI Research and Education.
What is Benjamin Manning, Ph.D. ♿'s email address?
Benjamin Manning, Ph.D. ♿'s email address is be****@****ibm.com
What schools did Benjamin Manning, Ph.D. ♿ attend?
Benjamin Manning, Ph.D. ♿ attended The University Of Georgia, Colorado State University, The University Of Southern Mississippi, The University Of Southern Mississippi, Georgia Institute Of Technology, Georgia Tech Scheller College Of Business.
What skills is Benjamin Manning, Ph.D. ♿ known for?
Benjamin Manning, Ph.D. ♿ has skills like Leadership, Mlflow, Pandas, University Teaching, Amazon Web Services, Federated Learning, Linux, Data Engineering, Data Science, Continuous Integration And Continuous Delivery, Adult Education, Teaching.
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