Jake Brandt

• Lead scalable software design and delivery aligned with customer and partner needs; serve as a technical SME, mentor, and advocate for sound enterprise architecture practices.
• Designed and delivered integrations with marketing/ad platforms (Google Search Ads 360, Meta Ads, Billups) to support campaign operations, reporting, and reconciliation.
• Established integration patterns for rate limiting, retries, and idempotent processing to improve data freshness and reduce incidents.

• Delivered a restaurant search and recommendation solution employing NLP of Google Places reviews and image analysis of review and restaurant website photos and menus, fully automating overnight batch seeding of a major metro area for product launch. (Amazon Bedrock, Claude Sonnet, LLM workflows, Google Places, Uber H3, AWS Lambda, PostgreSQL on Amazon Aurora/RDS)
• Designed and implemented an end-to-end, distributed data processing + RAG prototype that ingested stock/company content from the X.com API, persisted sources + provenance metadata in S3, enriched items via an event-driven S3 → SQS → Lambda pipeline (Amazon Bedrock), and exposed retrieval in Amazon Q Business via a custom connector with user-visible citations.
• Authored the architecture, delivery backlog, and end-to-end technical documentation (data flow + operational considerations) for the above prototype so it could be extended beyond the initial time-boxed build.
• Fully automated the ingestion and structured storage of scanned commercial lease agreements through the use of a multimodal LLM-based OCR and NLP workflow on AWS Lambda, then exposing the data store through Amazon Q Business via custom plugin (precursor to MCP), enabling natural language to SQL execution (AWS Bedrock and Redshift Serverless) and document lookup from vector storage.
• Delivered LLM-powered chat agent exposed over WhatsApp, enabling farmers to quickly store and look up crop records while in the field or greenhouse and perform RAG lookup against crop and agriculture knowledgebase. Prototype and documentation handoff allowed client to pivot from self-hosted language models to a managed solution.
• For all LLM and Generative AI projects: performed prompt engineering, output evaluation, and human-in-the-loop refinement of LLM responses.

• Led a stable transfer of multiple AWS customers after an acquisition, ensuring continuity and reliability.
• Advised on cloud-native technology and software investments for a national agent media and marketing marketplace, meeting weekly with stakeholders.
• Drove adoption of SDLC best practices including dependency injection, infrastructure as code, peer reviews, and Agile process adoption.
• Applied experience with distributed data processing, ETL/data warehouse/data lake solutions, pub/sub event systems, and cloud optimizations.

• Taught CSCI 510, Fundamentals of Computer Graphics, including 2D/3D algorithms, transforms, projection, and OpenGL/GLSL shader development.

• Contributed to an Angular SPA codebase for online ordering workflows and payment gateway integration.
• Built unit tests, performed peer reviews, and guided Azure B2C OAuth integration, SEO optimization, and accessibility.
• Delivered a customer management portal using .NET Core (server-side Blazor), Azure Durable Functions, and Application Insights.
• Performed technical screenings and assessments for prospective hires.

• Architected the first distributed extension to a mature flagship product, expanding from leased hardware to serverless components and upgrading identity to support stateful and SPA subsystems.
• Developed a Node.js-based unit testing framework for Classic ASP with SQL/environment mocking and expect-style assertions.
• Provided architectural guidance for SPAs, distributed REST APIs, and enterprise security considerations.
• Partnered with product analysts on prioritizing technical backlog items such as security and future-proofing.
• Advised the CIO on investments in outsourced/specialized teams and internal resource alignment.

• Managed day-to-day HR needs of development teams and supported recruiting, interviewing, and career planning.

• Provided technical direction/roadmap for fantasy sports products, including native mobile apps.
• Led a transition to SPA architecture backed by distributed REST APIs, Redis cache, Azure SQL, and OAuth/OpenID Connect.
• Coordinated technical scope and timelines with partners and investors.
• Secured cloud hosting credits and MSDN licenses through Microsoft accelerator programs.

• Expanded the delivery team, coached agile practices, and improved estimation granularity.
• Reduced IT operating costs through program participation and cost monitoring.
• Introduced database versioning with SQL Server Data Tools and standardized release processes.
• Contributed to an ASP.NET MVC codebase using Entity Framework, SQL Server, and WebSockets.

• Architected and developed an MVP native iOS parent portal, coordinating shared UI patterns with the Android team.
• Acted as SME for iOS release practices, certificate management, and Apple Developer Center processes.
• Designed and built an ASP.NET-based APNs server with SOCKS proxy support for secure district datacenters.

• Developed SQL scripts/procedures and improved performance and maintainability.
• Built an externally facing bulk data import service using SQL Server, Windows Services, ASP.NET, and jQuery.
• Cut release deployment duration by 20% via a replacement database schema upgrade process with LINQ-to-SQL migrations.
• Architected a BI platform for data mining/visualization to complement the primary product.
• Conducted code/performance reviews for SQL and C# and prepared Team Foundation Server to replace legacy tools.

• Released software updates to ~1000 centrally hosted customer sites without service interruption.
• Documented releases and trained support and sales teams on new functionality.
• Developed a WPF/VB.NET release deployment application that cut release times by 66%.
• Maintained and extended a Classic ASP codebase.
• Built an aggregate reporting service producing financial/performance reports from 100+ sites in CSV/XML.
• Implemented a proprietary SAML service provider client for SSO with partners using C# and XML.
• Delivered Java development work across enterprise systems; details available on request.

LLM-based classification of press releases and quarterly filings synced from SEC EDGAR to improve signal quality for automated trading.

Keras/Python system trained on multi-year OHLCV histories for buy or do-not-buy classification, backed by Microsoft SQL Server.

Music production and publishing; compositions mixed and mastered in FL Studio.

Terminal-focused inventory crawler with a custom shell-like UX over automotive listings, built with Node.js, TypeScript, and MongoDB.

WPF/C# desktop tool for screening, charting, and historical trading simulation.

Turn-based, day-by-day trading simulator for Windows Phone 8.

LLM and geospatial pipeline that generates restaurant tags from reviews, photos, and menus to improve discovery.

RAG prototype in Amazon Q Business over an S3 corpus with provenance metadata and citations.

Automated request replay and emulated runtime to ship safer security changes in a legacy Classic ASP SaaS application.