Jake M. Email & Phone Number

San Mateo, Ca, Us

San Francisco, Ca, Us

- Research and development of deep generative AI systems (large language models, stable diffusion, transformer-based deep models)- Training and inference pipeline design and implementation- Development of novel model evaluation strategies for context-aware, semantic model performance

Dublin 2, Ie

Research and proof-of-concept development in hierarchical Bayesian modeling, uncertainty quantification, and targeted learning as applied in several concrete domains, including robust inventory management for supply chains and efficient, multi-constraint demographic targeting in medical trials. Enablement of epistemically-aware, graph-based, robust ampliative inference for, for example, intelligent digital twin systems.Papers:2023 IEEE ICSC Conference Paper - Ontology Modeling for Probabilistic Knowledge Graphs2023 IEEE ICRA Conference Paper - Online Tool Selection with Learned Grasp Prediction Models (see OSARO)2023 IJSC Journal Paper - A Bayesian Approach to Constructing Probabilistic Models from Knowledge GraphsPatents Submitted:2023 - System for Probabilistic Modeling and Multi-Layer Modeling for Digital Twins2023 - Survival Prediction and Censored Demand Sensing for Inventory

San Francisco, California, Us

- Research and development of production-ready ML/DNN models for robotics applications at scale including supervised, unsupervised, self-supervised, generative, and reinforcement methods using multidimensional and multimodal vision, sensor, and motion data.- Statistical and off-policy analysis of model performance for cross-domain generalization. - Co-development and implementation of ML technical and data requirements across engineering teams. Improved quality of data ingested for ML training/prediction by implementing data quality safeguards.- Integration with high-throughput gRPC prediction and in-house analytics services.- Improved on-site pick-and-place performance by 14% with occlusion-aware, hybrid pick prediction model.- Lead ML developer of box-pick solution, combining OSARO's registrationless pick technology with domain-specific awareness, improving pick quality and single pick success.Patents Submitted:2022 - Automated Robotic Tool Selection

Dublin 2, Ie

I build rapid prototypes and proofs of concept to validate cutting-edge ideas and technologies for market. I work primarily at the intersection of artificial intelligence, machine learning, deep learning, and data science. My previous work includes significant experience with natural language processing and conversational AI design, which has been taken from prototype into production at scale. My current work focuses on explainable AI (XAI) and providing scalable,"glass-box" reasoning and dynamic user interaction capabilities to AI systems. In development and deployment, I work primarily with various AWS cloud services but also regularly integrate Google Compute and Microsoft Azure platforms as appropriate.Oct 2018 - Hands-on Conversational AI Lab faculty for Technology Architecture Workshop 2018Dec 2018 - Promoted from Adv. App Engineering Sr. Analyst to Adv. App Engineering SpecialistDec 2018 - Team named FY19 Q1 Demo Award winner for development of Flare360, a next-gen, semi-stochastic conversational agent demonstrated with industry use cases in finance, healthcare, and utilities.Feb-Jun 2019 - Team named Top 5, then Top 3, global Breakthrough panelist in Greater Than Awards for development of onyxAI, a novel explanation-driven cognitive platform (Patent Issued July 2023)Jun 2019 - Transitioned from Accenture Liquid Studio to Accenture Labs as Technology Research and Development Specialist. Researched novel solutions to open-world learning.Patent Submitted:2019 - Explanation-driven Interactive Recommendation Engine (Issued July 2023)

Dublin 2, Ie

Rapid design, prototyping, and deployment of intelligent, next-gen natural language agents using Amazon AWS, Google Cloud, and on-premises platforms in hybrid enterprise architectures.June 2018 - AWS faculty for annual TechStars conference. Led hands-on rapid learning labs for Amazon Lex and Amazon SageMaker. Aug 2018 - Changed roles from Tech Arch Delivery Sr. Analyst to Advanced App Engineering Sr. Analyst and joined Accenture Liquid Studio, Silicon Valley.

200 Applied Parkway, University Park, Il, Us

- Collaborated with programmers and product owner to meet business functionality and quality requirements, according to business/customer priority- Utilized industry-standard tools for the generation of test plans to meet acceptance specifications- Developed and executed manual test plans for biweekly development sprints and quarterly release schedules in an agile environment including smoke, exploratory, verification, acceptance, load, and regression.- Joined with multi-product integration teams to support seamless, end-to-end product performance with Applied Systems flagship solutions- Test lead and point-of-contact for CSR24 Premium Certificates development- July 2017: Promoted from Associate Testing Analyst to Quality Analyst

San Francisco, California, Us

- Critical review of written correspondence for Single Point of Contact/SPOC loss mitigation/retention for all HP portfolios including FHLMC, FNMA, FHA, USDA, VA, Wells-owned, Wells Fargo Financial, Co-loss, Bankruptcy, Mediation, Bankruptcy Mediation, and Litigation- Evaluation of line-of-business process flows for compliance with federal and internal regulatory requirements (MHA, RECOR, NSS, CFPB, etc.), particularly with regard to pre-foreclosure and foreclosure/dual path- High-priority communication and coordination with quality-line and business-line team members and management for escalated/high-risk issue identification, resolution, and root-cause analysis- Summarization of error and compliance findings for management of multiple departments and lines of business to inform strategic direction- Development and implementation of updated quality-line review flows and tools for efficiency and metrization- Worked with multi-site team leads and management for new-member onboarding, multi-phase process rollouts, and training consolidation- February 2015: The only team member in the state to receive "Team Member of the Month" for Consumer Contact and Strategy Execution (CCSE)- April 2015: Award for Outstanding Overall Performance at CCSE Town Hall from senior vice president- April 2015: Nominated to Team Member Satisfaction (Q12) committee

San Francisco, California, Us

- Single Point of Contact (SPOC) for external/customer and internal contact, managing and servicing dense pipelines of default and foreclosure-risk loans in retention/modification and liquidation processing, underwriting, and closing- Preliminary underwriting of HAMP and proprietary mortgage modification reviews for GSE, non-GSE, and Private mortgage loan portfolios according to NSS/RECOR and investor guidelines- Facilitated retention to liquidation processes including short sale and deed-in-lieu (mortgage release) for foreclosure mitigation- Dec 2012: Earned Branch of the Year with team, #1 in region- Jan 2013 - May 2014: Developed and implemented branch education and events for annual team member satisfaction surveys for 2013 and 2014. (Q12)- Jan 2013 - March 2014: Subject Matter Expert (SME) for FHLMC/FNMA loss mitigation retention- Sept 2013 - July 2014: Subject Matter Expert (SME) for daily AIRL (written) compliance for written SPOC communication

Master’S Degree, Computer Science

Bachelor'S Degree, Mathematics, Philosophy