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Jacob SaBell

I build data systems, automation, and local AI infrastructure.

Backend-heavy software, compliance workflows, civic data tools, property operations systems, and private AI experiments.

Built across real operations

Capabilities

What I build

Backend-leaning systems work across data, automation, and AI.

Data engineering

Pipelines, normalization, matching, and QA across large and messy datasets.

Automation systems

Workflows that remove manual steps and run reliably without supervision.

AI infrastructure

Local models, orchestration, and inference workflows on owned hardware.

Compliance workflows

Registration, audit, and submission flows for regulated, public-facing surfaces.

Field operations tools

Contact, survey, and analytics tooling for on-the-ground teams.

Web platforms

Backend-heavy web apps, internal tools, and operational dashboards.

Work

Things I have built

A selection of what I am building now and what came before.

Active

Active

Telecom messaging compliance pipelines

Registration, audit, and multi-provider submission workflows for high-volume messaging.

Active

Multi-property operations platform

Document intake, email classification, scheduling, routing, and operational reporting.

Active

Email AI assistant for residential property management

Inbox triage, thread classification, and structured follow-up support for property teams.

Active

Field operations CRM with phone banking

Contact workflows, survey capture, call analytics, and volunteer-facing tools.

Active

Local autonomous AI agent platform

Browser-backed tools, local notes, orchestration, and task execution on owned hardware.

Active

Aerial broadband resilience concept

Portable network coverage planning using aerial nodes and local infrastructure.

Active

White-hat security audits for donation and payment surfaces

Controlled testing, reporting, and remediation guidance for public-facing flows.

Earlier

Earlier

Voter targeting ML pipelines

Segmentation, scoring, matching, and export workflows for large voter datasets.

Earlier

Local intelligence pipelines using multi-model LLM ensembles

Scraping, summarization, entity tracking, and structured research outputs.

Earlier

Data aggregator engineering for consumer and voter data providers

Normalization, deduplication, matching, and operational data QA.

Earlier

Binary options trading bot for prediction markets

Automated signal processing, strategy testing, and execution logic.

Earlier

Pipeline orchestration and run-queue hardening

Safer long-running jobs, retry logic, lockfiles, audit output, and recovery paths.

Earlier

Custom scrapers for state-level public data portals

Public record extraction, change detection, structured storage, and verification passes.

Always running

Always

Owned GPU compute nodes for local inference

Local model testing, private inference workflows, and machine-level automation.

Always

This site

A public landing page with private tools kept behind direct links or sign-in.

Contact

Let's build something.

Have something that needs data, automation, or AI infrastructure built? Reach out.

Email me