Capabilities

01–06 · terminal · inquiry only

> cat /capabilities/*.term — problem · approach · deliverable · stack

null∅verflow:/capabilities/01.termPHOSPHOR · OK
01

LLM & RAG systems

> PROBLEM
Enterprise knowledge is trapped in silos; chat demos collapse under permissions, latency, and hallucination risk.
> APPROACH
Ground Claude / Bedrock / Mistral with retrieval over governed corpora, tool-use contracts, and eval gates before any user-facing path ships.
> DELIVERABLE
Production RAG + agent surfaces with citation trails, rate limits, and rollback — not slideware demos.
stack_tags[]
ClaudeBedrockMistralLangChainpgvectorFastAPI
null∅verflow:/capabilities/02.termPHOSPHOR · OK
02

ML engineering

> PROBLEM
Models that look good in notebooks fail under drift, cost spikes, and missing ops once real traffic arrives.
> APPROACH
Train, evaluate, and deploy on SageMaker/AWS with feature contracts, shadow traffic, and monitoring that pages humans — not dashboards nobody reads.
> DELIVERABLE
Endpoints with SLOs, cost envelopes, and retrain loops that survive production load.
stack_tags[]
SageMakerPyTorchscikit-learnLambdaCloudWatchMLflow
null∅verflow:/capabilities/03.termPHOSPHOR · OK
03

Data & analytics platforms

> PROBLEM
Models starve when pipelines are brittle, schemas drift, and SAP/analytics truth is untrusted.
> APPROACH
Build validated ingestion, quality gates, and analytics stacks that keep downstream ML fed with reproducible, auditable data.
> DELIVERABLE
Pipelines + marts with lineage, freshness SLAs, and clear ownership — so models stop guessing.
stack_tags[]
AirflowSparkPostgresSAPdbtS3
null∅verflow:/capabilities/04.termPHOSPHOR · OK
04

Computer vision / OCR

> PROBLEM
Detection and document/sign pipelines stall between dataset design and shippable inference.
> APPROACH
Own the loop: labeling strategy, model selection (YOLO/OCR), latency budgets, and AWS packaging as one system.
> DELIVERABLE
Inference services with measured accuracy, batch + online paths, and ops hooks for bad frames.
stack_tags[]
YOLOOpenCVOCRPyTorchAWSDocker
null∅verflow:/capabilities/05.termPHOSPHOR · OK
05

Applied research

> PROBLEM
Papers and prototypes die in the lab when product constraints never enter the experiment design.
> APPROACH
Design studies with transfer criteria up front — metrics, compute envelopes, and failure modes that map to a shippable surface.
> DELIVERABLE
Published or internal research plus a prototype→product handoff path when the science has to land.
stack_tags[]
PyTorchHPCscikit-learnexperiment trackingIEEE
null∅verflow:/capabilities/06.termPHOSPHOR · OK
06

Automation & agents

> PROBLEM
Manual ops burn cycles; naive agents amplify risk when AppSec is bolted on after the demo.
> APPROACH
Replace brittle workflows with constrained agents — least privilege, vault secrets, human checkpoints, and audit logs from day one.
> DELIVERABLE
Agentic ops that cut toil without opening the blast radius — measurable time saved, not vibes.
stack_tags[]
agentsFastAPIvaultIAMLangChainqueues

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