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Squared Info provides:
Squared Info provides:
Retrieval Augmented Generation (RAG) for Artificial Intelligence
Cloud and Data Architecture
Streamlining Data Integration and Automation
Enabling Digital Transformation
ABOUT ME
ABOUT ME
I am an enterprise data architect and applied AI systems builder with 20+ years of experience designing, scaling, and stabilizing mission-critical platforms. At my core, I am a software and data engineer who builds systems that run in production — not just in theory. Modern intelligence systems, including AI, are only as strong as the data foundations beneath them — and that foundation is where most complexity, cost, and failure occur.
Organizations typically engage me for two reasons: to architect and scale complex data systems, or to rescue and modernize solutions that have become unstable or misaligned. Today, I extend that same discipline into secure, production-grade AI platforms that integrate large language models with governed enterprise data.
I can:
Design and architect
Build and deploy
Operate and scale
Industries that I specialize in: Energy (Oil and Gas) and Healthcare.
AREAS OF EXPERTISE
AREAS OF EXPERTISE
Cloud Engineering
Cloud Engineering
Migrating to Microsoft Azure, AWS, GCP
Data ingestion and transformation
Microservices
Application services
IoT / Real-time processing
Change Data Capture / Event Handling
Data
Data
Architect and engineer data models and flows
Governance
Management
Integrations (prepare, extract, transform, load)
Quality rules and checks
Migrations
Digital Transformation
Digital Transformation
Assess and plan
Automation
Change Management
Breaking data and organizational silos
Technology guidance
Roadmap review
RELEVANT PROJECTS
RELEVANT PROJECTS
Industry: Artificial Intelligence / Healthcare SaaS
Client: Confidential
Work: Founded and leading the development of a multi-tenant AI SaaS platform delivering conversational analytics to dental practices. Own product strategy, architecture, engineering execution, client onboarding, and go-to-market initiatives. Built the system from concept to production, integrating data warehouse models with Retrieval Augmented Generation (RAG) to provide secure KPI analysis, financial insights, and executive reporting without exposing client data.
Technology: Microsoft Azure, Azure AI Services, PostgreSQL, pgvector, OpenAI API, Docker, Kubernetes, React, Node.js, Multi-tenant SaaS architecture
Industry: Artificial Intelligence / Enterprise Data Architecture
Client: Confidential
Work: Advise organizations on designing secure, production-grade AI systems that integrate large language models with enterprise data platforms. Define reference architectures for Retrieval Augmented Generation (RAG), vector search integration, data governance alignment, and cost-efficient prompt orchestration. Design embedding pipelines, retrieval strategies, and cloud-native deployment patterns for scalable AI adoption across regulated industries.
Technology: Microsoft Azure, Azure AI Services, Azure AI Search, PostgreSQL, Vector Databases, LangChain, OpenAI API, Microservices, Event-driven architecture, Docker, Kubernetes
Industry: Energy SaaS
Client: ComboCurve
Work: Vice President of Engineering, Integrations and Data. Scaled and managed a team of software engineers, data scientists, data consultants, architects, Security Ops, and I.T. to accommodate the rapid growth of its flagship software, new product lines, and data service offerings. The headcount more than doubled from 30 to 65 in six months, internal and external. Acted as the lead architect in the software, cloud, data and integrations facets. Met with clients from small and big (Fortune 50) to provide support and explain the technology to all units and levels of the business. Mentored and coached junior to principal engineers. Created career and succession paths. Developed 1 year, 2 year, and 5 year engineering and technical roadmaps. Facilitated more structure and metric driven execution including more agile tactics, devops, triage, disaster recovery, business continuity, team structures. Was the central Data expert internally and externally. Created a lean data ops team to integrate client data into the cloud software. Addressed technical debt, stability, performance, quality, and work prioritizations. Reviewed and audited new technologies and potential acquisitions.
Technology: GCP, AWS, Microsoft Azure, OpenWells, P2 Merrick, Quorum Land Suite, ComboCurve, Landmark Aries, IHS Harmony, Quorum Mosaic, ValNav, Tibco Spotfire, Power BI, Enverus, IHS, TGS, MongoDB, PostgresDB, Windows Servers, Docker, Kubernetes, Redis, Snowflake, Datalake, Change Data Capture, REST API, Microservices, Big Query, Synapse, Redshift, Data Share, Jira, Salesforce
Industry: Upstream Oil and Gas
Client: Confidential / Permian operator
Work: Architect and build of entire data and cloud service, including infrastructure, for operated and non-operated streams. This includes lift-and-shfit of data, live ingestions, transformations, reporting, analytics, and data management. We digitalized unstructured data (pdfs, excels, csv, ascii, LAS, etc) and normalized it to a central repository.
Technology: Microsoft Azure, OpenWells, P2 Merrick, Quorum Land Suite, ComboCurve, Petrel, SLB Delfi, Office 365, Landmark Aries, Tibco Spotfire, Power BI, Enverus, IHS
Industry: Oil and Gas / Manufacturing
Client: Tenaris
Work: Ingested live data from the drilling rigs, then processed, analyzed, and applied proprietary algorithms and advanced analytics to stream into visuals.
Technology: Microsoft Azure, Apache Software Suite, WITSML
Industry: Upstream Oil and Gas
Client: Equinor
Work: Migrate and integrate upstream data including subsurface, land, reservoir, well construction, production, and financial to the cloud for centralization, advanced processing and analytics.
Technology: Microsoft Azure, Aries, Cisco Information Server, OpenWells, P2 Merrick, Quorum Land System, Energy Navigator, Energy Link, IHS, DrillingInfo, Petrel, SAP, PDFs, Enersight, Cygnet, Reltio
Industry: Energy software
Client: Confidential
Work: Designed and built custom cloud solution to integrate well construction plans, estimates, field costs, and invoices into a unified cost data model in order to achieve auto-reconciliation and detect, predict and prevent cost overruns and leakages.
Technology: Microsoft Azure, Power BI, Rimbase, DSOUpstream, Enertia, SAP R3, OpenWells, WellView, Enersight, AFE Navigator
Industry: Upstream Oil and Gas
Client: Statoil
Work: Build and lead US Onshore data governance, quality, reporting, and advanced analytics and visualizations.
Technology: Microsoft Azure, Tibco Spotfire, Power BI, SAP BW, SAP HANA, Oracle RDMS, Master Data Management, PPDM
Industry: Upstream Oil and Gas
Client: Statoil
Work: Procure, deploy, integrate, and maintain various oil and gas line-of-business software suites. Migrated and/or retired solutions after acquisitions.
Technology: Landmark EDM, P2 Energy, DSO Upstream, AFE Navigator, Energy Components, SAP R3, ServiceNow, DiscoveryWell, PDS, Data Scavenger
Industry: Upstream Oil and Gas
Client: Devon Energy
Work: Lead data and application services. Designed and built custom line-of-business solutions for business areas like HR, Procurement, Exploration and Drilling, Master data management, Records management, legal, enterprise search. Successfully ran $30M SAP conversion sub-project of major SAP roll-out with Accenture. Migrated, merged, and retired solutions from 27 acquisitions.
Technology: Microsoft SQL, .NET, Oracle RDMS, SAP, Tobin P2, WellView, Informatica, Opentext
Industry: Upstream Oil and Gas
Client: Cimarex
Work: Build custom approval for expenditure system.
Technology: Microsoft SQL, .NET, Opentext
Industry: Upstream Oil and Gas
Client: Southwestern Energy
Work: Build custom approval for expenditure system and records management system.
Technology: Microsoft SQL, Bengal AFE, Opentext
Industry: Refinery / Factory
Clients: Shell, Huntsman, BP, Nova, Lyondell Basell, DOW, Hershey, Arizona Public Services, Air Liquide
Work: Designed and built SCADA, alarm processing, and historian solutions for the offshore rigs and chemical processing refineries.
Technology: OSIsoft PI, AspenSoft, Emerson DeltaV, Cygnet
RANDOM PROJECTS / FREELANCE WORK
RANDOM PROJECTS / FREELANCE WORK
PDF scrapper for drilling, completions, and production volumes reports
Dental practice management software and analytics
MMORPG bot
Various Excel and MS Access "programs"
SPEAKING ENGAGEMENTS
SPEAKING ENGAGEMENTS
HowGoodIsYourData2How Good Is Your Data
How Good Is Your Data
PPDM Houston Expo 2018
TCC_Data_Analytics_AnomaliesWCT_Aug2019Anomaly Detection in Well Construction Costs
Anomaly Detection in Well Construction Costs
TCC Data Analytics Workshop 2019
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