Skip to content

Work

Proof-led production outcomes

Each of our consultants has 15+ average years of experience driving business outcomes in industry.

Book a discovery callMeet the team

Generative AI and LLM engineering

Agent frameworks and LLM applications, built for compliance, conversation and research.

  • Compliance and security-audit agents

    An LLM agent framework for HIPAA-compliance and security-audit automation, fine-tuned with reinforcement learning and served with vLLM.

  • Conversational agent with retrieval search

    A production conversational agent on LangChain.js, with retrieval-augmented search, multi-user chat and federated sign-in.

  • Multi-agent scoring for deep research

    A multi-agent scoring framework behind a deep-research pipeline that quantifies technology-adoption ROI.

Applied research, quantum and high-performance computing

Research programs, published work and the computing platforms researchers run on.

  • Quantum research at Carnegie Mellon's SEI

    Seven years as a Senior Research Scientist at Carnegie Mellon's Software Engineering Institute, as principal investigator of a Department of Defense quantum research program running twenty-one researchers.

    Read Jason Larkin's research

  • DARPA programs and verified control

    Work across five DARPA programs, including formally verified control kernels deployed on a robot and on an autonomous car with GPS-spoofing attack detection.

  • Research computing at the Pittsburgh Supercomputing Center

    A production educational high-performance computing platform at the Pittsburgh Supercomputing Center: notebooks, APIs, containers, cluster batch scheduling and observability.

  • Peer-reviewed quantum publications

    Twenty-seven peer-reviewed publications spanning QAOA, VQE, surface codes, magic-state distillation and Trotterization for molecular Hamiltonians.

Regulated-industry and platform-scale machine learning

Machine learning for trust and safety, financial risk and access control.

  • Trust and safety at X/Twitter and Meta

    Seven years building machine-learning detection for spam, coordinated inauthentic behavior and harassment at X/Twitter, then a year on the same class of problem at Meta, serving tens of millions of users.

  • Risk management at Goldman Sachs

    Quantitative research and risk management at Goldman Sachs, building the fund's first formal risk framework.

  • Access rightsizing at Microsoft

    A rightsizing engine at Microsoft using linear programming over historical access activity, with anomaly detection on access patterns.

Data platform, MLOps and observability

Telemetry, observability and model operations underneath production machine learning.

  • GPU infrastructure observability

    A GPU-infrastructure observability platform built end to end: reference architecture, metric set and API schemas across heterogeneous sources.

  • Telemetry across a GPU fleet

    Telemetry ingestion from more than a thousand compute nodes and eight thousand GPUs.

  • Model operations for commercial lending

    Deployment, execution and monitoring for every production machine-learning model at a commercial lending platform.

Leading teams and building capability

Building data science teams, and teaching the people in them.

  • End-game modeling at Microsoft

    Leading end-game modeling for an identity governance platform at Microsoft, after being the first data scientist at three venture-backed startups, all of which were acquired.

  • Growing a data science team

    Growing a data-science team to twelve scientists and promoting its first front-line managers, with a specialty in teaching data scientists to write production code.

  • Authoring and teaching

    Eleven continuous years as a Pearson author across generative AI, deep learning and distributed computing, plus a graduate course taught at New York University.

  • Enterprise data science training

    Designing and delivering data-science training for a Fortune 100 company, onboarding fifteen new data scientists onto an enterprise platform curriculum.

Services leadership

Who leads each part of the work: data science, engineering and infrastructure.

  • Data Science

    Shaun Applegate-Swanson

    Vice President of Data Science

    Thirteen years in data science. First data scientist at three VC-backed startups, all three acquired — CloudPhysics to HPE, CloudKnox to Microsoft, Radius to Kabbage.

    Full background

    Stayed on at Microsoft after the CloudKnox acquisition as Principal Data Scientist, leading end-game modeling for an identity governance platform.

    At CloudPhysics he led the Scala and Spark pipelines behind data center rightsizing recommendations, processing 100 billion data points a day from hundreds of data centers. At Radius he raised phone-to-business match accuracy from 80% to 95% across 120 million phone numbers. He founded Transmute Data, a data science consultancy, and has published in the journal Soft Matter.

    Previous companies
    • Transmute Data
    • Microsoft
    • CloudKnox Security
    • CloudPhysics
    • Radius
    Acquisitions
    • CloudPhysics, acquired by HPE
    • CloudKnox Security, acquired by Microsoft
    • Radius, acquired by Kabbage
    LinkedIn

  • Engineering

    Mark Cicoria

    Vice President of Software Engineering

    Twenty-one years building software, five at the U.S. Department of Energy. Built the observability platform for a GPU cloud provider.

    Full background

    Lead software engineer at the Department of Energy, building auditable, compliance-grade systems. Also built the diagnostics interface the GPU cloud provider's AI researchers use.

    At BridgeTek he leads engineering for Scout, the company's AI opportunity intelligence engine, built as one codebase that ships as multi-tenant SaaS and as a fully private on-premises edition with local-only inference. Before that he co-founded WorkingOn, a status-update tool for teams that grew to more than 200 customers and 5 million logged activities, and founded Markup, building software across fintech, healthcare and digital marketing.

    Previous companies
    • Transmute Data
    • Markup
    • WorkingOn
    • U.S. Department of Energy
    LinkedIn

  • Infrastructure

    Tory Skyers

    Vice President of Technology

    Thirty-two years in infrastructure, thirteen at WWT, leading financial-grade and enterprise AI systems.

    Full background

    At WWT he was senior architect and lead migration architect on a $467M federal infrastructure program, moving more than 65PB of multi-platform storage, and helped win and deliver a $400M, five-year managed-services engagement for a Fortune 100 company.

    He designs GPU and AI factory platforms, including liquid-cooled, power-intensive data center builds, and self-hosted multi-GPU inference for healthcare, financial services and manufacturing clients.

    Previous companies
    • World Wide Technology
    • Novalus Technologies
    • TrustNet Technologies
    • Sungard
    • Barclaycard
    Certifications
    • VMware VCP5-DV
    • Red Hat RHCE
    • Citrix CCA (XenServer, XenApp, XenDesktop)
    LinkedIn

What a client said about a recent GPU observability build

“We pointed them at some of our hardest problems, and they consistently strategized, self-directed, engaged stakeholders, and executed complex software deliverables at scale. … Early on, we put them in charge of building our observability and monitoring layer to address one of our core problems: SLA enforcement. The work their "full stack data scientists" delivered was excellent! It directly enabled us to secure an exclusive partnership with an industry giant …

They let us focus on our core business while delivering provable short-term wins that justified continued investment in their work. … Would highly recommend!”

Co-Founder & Chief Architect, an AI infrastructure platform

On work delivered by Transmute Data, whose consultants deliver BridgeTek's data science engagements. Used with the endorser's written permission; client name withheld.

Point us to your hardest problems

Book a consultation with the team.

Book a discovery call