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Brener LabsStrategic AI/ML • Anomaly Detection • Cost-Optimized
Ship AI systems that matter — secure, scalable, economical
I design production-ready platforms end-to-end: anomaly detection & fingerprinting, big-data pipelines, LLM integration, and infrastructure cost optimization.
Advisory & Architecture
Clear outcomes. Senior hands-on leadership from discovery to delivery.
Strategic Planning & Architecture
Target operating model, capability roadmap, build-vs-buy, and reference architectures aligned to business goals.
Big-Data Pipelines (Batch & Streaming)
Kafka/Spark/Flink designs for high-throughput ingest, feature stores, real-time analytics, and cost-efficient storage.
ML Security Pipelines & LLM Integration
End-to-end safety & trust: model/feature evaluation, red-teaming, guardrails, PII/secret handling, data governance, and compliant deployment.
Infrastructure Cost Optimization
Profiling, right-sizing, spot/GPUs strategy, caching, and unit-economics dashboards to cut cloud bills by 20–50% without risking reliability.
Representative Results & Case Studies
Outcomes in security, fintech, adtech, and SaaS.
−42% Cloud Spend
Reduced GPU & storage via profiling, mixed precision, and cache tuning.
>10× Throughput
Re-architected event pipelines with backpressure control & vectorized storage.
Weeks → Days
Accelerated model rollout with CI/CD for features and canary evaluation gates.
About Daniel Brener — Strategic AI/ML Systems
Senior Cloud AI Engineer & big-data architect. I help teams ship reliable, cost-effective AI.
- AI/ML strategy, platform architecture, MLOps
- Event streaming, time-series, vector databases
- GPU pipelines (training & inference), LLM agents
- FinOps & cost governance dashboards
Capabilities
GoPythonKafkaSparkFlinkClickHousePostgresRedisKubernetesAWSGCPAzureLLMsAgentsAnomaly DetectionAnti-FraudDeep Learning
Coming Soon — Brener Labs Framework
A practical blueprint for building trustworthy, cost-aware ML systems: anomaly detection, fingerprinting, security pipelines, and lean GPU operations.
Sentinel Baselines
Per-entity behavioral baselines with autoencoders/embeddings, designed for evolving traffic and low noise.
Safety & Guardrails
Policy-driven evals, red-team harnesses, PII/secret hygiene, prompt/response filters — wired into CI.
FinOps by Design
GPU budget controls, cache tiers, mixed precision, and unit-economics dashboards for sustainable scale.
Let’s Talk — Low-Friction Intro
Connect and we’ll coordinate a quick intro when convenient.