About Jim Torelli
Based near Seattle in Bothell, Washington, Jim Torelli leads Bridge Beach Consulting. Jim brings a practical, results‑oriented approach gained from working across telecommunications, healthcare, financial services, media, and game publishing—including regulated and HIPAA‑aligned environments.
He has a strong track record as both a leader and hands-on contributor, particularly in guiding start-ups and understanding the full product development lifecycle. That span runs from early commercial computer vision—shipped years before the current wave—through today’s cloud platform work and applied AI.
Past Clients
Cloud Architecture & Implementation (AWS & Azure)
Hospitality Software: CI/CD at Scale
Worked with a leading hospitality software company to run CI/CD at scale using Jenkins with Docker build nodes (no Kubernetes in this environment). Supported 100+ developers across 20+ projects and three teams, improving build reliability and release cadence. Result: faster, more predictable releases. (Sector: Hospitality Software)
Major Financial Services: Azure Migration + CI/CD
Migrated legacy Azure workloads—including containers on end‑of‑life Windows and databases running inside containers or VMs—to new Azure VMs and Azure SQL. Implemented a modern CI/CD pipeline to streamline deployments. Result: supported, secure platform with predictable releases. (Sector: Financial Services)
Virtual Events Streaming at Scale (Azure)
Helped implement the live encoding and streaming system on Kubernetes (AKS) in Azure, including real‑time streaming clusters. Improved storage and internal tooling so teams could run shows smoothly. Result: resilient live encoding and fewer operational fires. (Sector: Media/Events)
Regulated B2B Platform: AWS Landing Zone & Governance
Built the secure multi‑account foundation a regulated platform needed to grow on: centralized identity, codified networking between accounts, private connectivity for staff, and reusable infrastructure templates so new environments come up the same way every time. Also delivered a managed virtual‑desktop system for users who need the application without a local install. Result: a governed foundation with documented runbooks handed to the internal team. (Sector: Regulated B2B / Healthcare)
Healthcare Technology: Azure Platform & HIPAA‑Aligned Network
Codified a multi‑tenant Azure estate as reusable infrastructure modules, and redesigned the network so data‑tier services are reachable only over private paths behind a web application firewall. Added monitoring and tuned alerting across well over a hundred application and database resources, so on‑call hears about real problems and not noise. Result: repeatable tenant setup and audit‑ready visibility. (Sector: Healthcare Technology)
Kubernetes & Container Orchestration
Healthcare SaaS: Zero‑Downtime Migration to Kubernetes
Moved a production healthcare app to Kubernetes without customer downtime. Introduced a safe, automated release process and clear operational dashboards. Result: higher reliability and faster delivery. (Sector: Healthcare)
National Media: On‑Demand Preview Environments
Gave editors and product teams shareable “preview links” for every change. Environments spin up automatically, match production closely, and tear down after review. Result: faster approvals and higher release confidence. (Sector: Media)
Online Education: First Kubernetes Platform & Mentorship
Implemented the company’s first Kubernetes platform and mentored the team to migrate all applications from a standard legacy AWS stack to Kubernetes. Added automated app and infrastructure delivery so teams could ship consistently. Result: quicker iteration and predictable releases. (Sector: EdTech)
DevOps & Infrastructure Automation
Nonprofit Grants: Source Control Modernization
Moved hundreds of legacy repositories from CVS and Team Foundation Server (TFS) into GitHub with full history and metadata. Standardized branching, reviews, and releases. Result: one modern place for code and a simpler release process. (Sector: Nonprofit)
Systems Software: From One Machine to a Shipping Product
Took a distributed storage platform off a single developer’s machine and made it something a customer could install: one‑step Linux packaging, managed kernel modules, current OS support, service management, benchmarks, and real documentation. Then added the operator‑facing half — a web UI with live monitoring, multi‑node management, metrics and log aggregation, and encrypted node‑to‑node transport built to hold up against future cryptographic attacks. Result: reproducible releases, operational visibility, and much faster developer onboarding. (Sector: Systems Software)
Aviation Membership: Datadog Observability Rollout
Rolled out a full Datadog implementation across the environment for alerting and monitoring, and added simple, automated pipelines. Result: proactive alerting, clear visibility, and scalable delivery. (Sector: Aviation)
Applied AI & Development
Healthcare SaaS: Code Intelligence & AI Workflows
Mapped thousands of repositories to the features they power, then auto‑generated safe migration workflows. Result: a focused roadmap and faster, lower‑risk database migrations. (Sector: Healthcare)
Computer Vision Startup: From Lab to Products
Turned research into shipped products, including facial similarity, OCR, image search, and early mobile barcode scanning. Result: real customers, industry recognition, and repeatable training pipelines. (Sector: Computer Vision)
AI‑First Business Build: Concept to Operating Product
Built an entire business with AI in the loop at every stage — brand, public website, internal admin tooling, and the cloud infrastructure underneath it. At its core is a custom AI crawler and classifier that discovers and verifies service contractors nationwide, producing a proprietary database that stays current on its own. Result: a live, operating product, and a working template for how far AI‑first delivery can actually go. (Own venture: WaterDamageDirect.com)
Generative Video: One‑Prompt to Finished MP4
Chained best‑in‑class tools to go from a single prompt to a ready‑to‑share video. Result: fully automated short‑form video creation for marketing and content teams. (Sector: Media Automation)