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    What we shipped, how we measured, what changed.

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    Outcome:
    Performance
    Cost Optimization
    Compliance
    Legacy Modernization
    Fraud Prevention
    Asset Protection
    Capability:
    CV
    GenAI
    Analytics
    Full-Stack Engineering
    Machine Learning
    AI / Anomaly Detection
    IoT / Real-Time Systems
    Industry:
    SaaS
    Municipal
    Government
    Healthcare
    Logistics
    Financial Services
    Pharmaceutical

    p95 latency ↓46% in 6 weeks

    Free with email

    Re-platformed hot paths, added tracing, tuned indices. No feature freeze.

    Rails
    Postgres
    Grafana
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    Infra spend ↓29% YoY

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    Batched edge inference on Jetson; cold storage tiering; fewer GPU hours.

    Jetson
    DeepStream
    S3
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    Critical CVEs → 0 before go-live

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    OWASP sweep, SBOM, access logging; bulk video/audio redaction in VISTA.

    VISTA
    Brakeman
    SAST
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    450K LOC migrated. Zero downtime.

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    Rails 3 to 7 migration for a top-10 telehealth provider. 14 months. 15,000 daily clinical users never noticed.

    Rails
    PostgreSQL
    AWS
    HIPAA
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    $18M annual fuel savings. 450 vessels.

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    PyTorch GNN optimized routes across Atlantic, Pacific, and Indian Ocean trade lanes. ETA accuracy: ±5 days → ±12 hours. Still running 6 years later.

    PyTorch
    Rails
    SageMaker
    SAP
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    $14.7M in fraud caught. False positives ↓85%.

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    TensorFlow anomaly detection across 12M receipts. False positives dropped from 28% to 4.2%. 60K audit hours eliminated.

    TensorFlow
    Kafka
    Rails
    Textract
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    $42M in cargo saved. 250K shipments monitored.

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    Real-time IoT monitoring across 340 pharma facilities. 3.5M telemetry pings/hour. 15-minute intervention window. FDA 21 CFR Part 11 compliant.

    Rails
    MQTT
    TimescaleDB
    IoT
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