Open to Remote
Kenneth Webber
Senior AI & Full-Stack Engineer | Tech Lead
✶
Open to Remote
Where
Louisiana, USA
Open to Remote
Building
withConflux
30–50% cost cut
Experience
21+
Years of Experience
About
I’ve spent 21 years fixing the problems no one wants to own.
Legacy platforms nobody wants to touch. AI features that work in the demo but not in production. Logistics systems quietly bleeding money. I’ve rebuilt all three — and I’m currently building something of my own, because I got tired of just fixing other people’s.
❝
Most engineers can write code. Fewer can tell you which code is actually worth writing.
— Kenneth Webber
Selected work
Systems that moved the needle.
Stack
What's running in the background
Languages
TypeScript, JavaScript, Python, Go, SQL, C#/.NET
Frontend
React, Next.js, Vue, Svelte, Tailwind CSS, Zustand, Redux Toolkit, TanStack Query, WebSockets
Backend
Node.js, NestJS, Express.js, Django, FastAPI, .NET, REST, GraphQL, gRPC, AWS Lambda
Databases & Data
PostgreSQL, MySQL, Redis, MongoDB, Pinecone, Qdrant, Supabase, Prisma
AI & LLM
LangChain, LlamaIndex, OpenAI & Anthropic APIs, PyTorch, Hugging Face, RAG, vector databases, function calling/tool use
Cloud & Infrastructure
AWS, GCP, Docker, Kubernetes, Terraform, Cloudflare, GitHub Actions, Datadog, Sentry
Worked on
Twenty-one years, one deep bench.
AWS BedrockNode.js MicroservicesWebSockets (Socket.io)BullMQSNSMongoDBLLM PipelinesAvaTaxStripeGDPR/CCPA Compliance
- Led the technical architecture and end-to-end engineering of Breezy Intelligence, an AI-powered intelligence layer embedded within a production recruiting platform used to augment candidate evaluation and recruiter decision-making.
- Architected and shipped an AI-powered candidate sourcing feature on AWS Bedrock that ranks best-fit candidates from large applicant datasets, supports credit-aware execution, and streams real-time progress via WebSockets.
- Optimized the sourcing pipeline's LLM usage, reducing per-run inference cost by 90% while improving match quality through a multi-stage scoring and reranking pipeline.
- Traced and fixed cross-service failures across 6 Node.js microservices and async pipelines (SNS, BullMQ, Socket.io, MongoDB), eliminating recurring errors in the sourcing workflow.
- Engineered AI-powered resume intelligence to audit candidate materials, identify inconsistencies and anomalous patterns, and surface potential indicators of AI-generated or suspicious applications for recruiter review.
- Built contextual summarization systems that synthesized resumes, candidate profiles, recruiter notes, communications, and activity history into concise, decision-ready intelligence for recruiters and hiring managers.
- Migrated the image delivery/optimization stack (DNS cutover, URL rewrites, application changes), cutting monthly image infrastructure spend by approximately 97%.
- Implemented AvaTax-based tax collection across state tax codes, integrating with Stripe for accurate checkout and invoicing.
- Audited and corrected GDPR/CCPA consent workflows across candidate import paths, ensuring data privacy compliance across US and EU regions.
- Contributed to a broad platform feature set — job postings, candidate management, applications, email/SMS communication, automation, scheduling, scoring, video interviews, reporting, and dozens of third-party API integrations — across the recruiting platform.
- Drove engineering decisions across AI infrastructure, backend services, data pipelines, security, scalability, and production reliability, balancing model capabilities with latency, cost, accuracy, and operational constraints.
- Partnered cross-functionally with product and engineering stakeholders to translate recruiting-domain requirements into production-grade AI capabilities while establishing the technical foundation for continued expansion of intelligent recruiting features.
PythonGoRedisClassical MLLLM IntegrationDistributed SystemsEvent-Driven ProcessingData Pipelines
- Drove the architecture and production integration of classical ML and modern LLM capabilities across consumer experiences and backend fulfillment systems, contributing to $22.9M/year in measurable business impact.
- Architected a distributed last-mile scheduling platform using Python, Go, and Redis, optimizing driver routing, transportation schedules, network capacity, and resource utilization while reducing logistics expenses by $900K/year.
- Designed backend services and data pipelines connecting vehicle inventory, customer demand, pricing, purchasing, fulfillment, and logistics, enabling data-driven decisioning across a high-volume automotive commerce platform.
- Engineered resilient asynchronous workflows and service integrations using event-driven processing, idempotency, retries, validation, and observability to support reliable, high-throughput fulfillment operations.
- Built and integrated ML-driven vehicle intelligence capabilities spanning valuation, recommendations, personalization, and inventory optimization, leveraging large-scale vehicle and transaction datasets.
- Led cross-functional technical initiatives spanning backend architecture, distributed systems, AI/ML integration, data infrastructure, and logistics optimization, balancing performance, scalability, reliability, model accuracy, and business impact.
PythonJavaScriptPostgreSQLRedisAWSREST APIsData Migration
- Contributed to SuscoCMS, building scalable claims-management workflows, APIs, integrations, and business applications using Python, JavaScript, PostgreSQL, Redis, and AWS.
- Architected backend services, data models, REST APIs, and automated workflows supporting claims processing, billing, adjuster management, and insurance operations.
- Led the Gilsbar Insurance engagement, replacing the legacy Vertafore Sagitta platform with custom accounting software and migrating critical business data.
- Designed data migration and integration workflows while ensuring data integrity, reliability, and production continuity.
- Partnered directly with client stakeholders to lead technical implementation from requirements through production.
- Delivered a system replacement that generated $348K in reported annual cost savings for Gilsbar Insurance.
PythonDjangoJavaScript/jQueryPostgreSQLRedisAWS
- Contributed to the development of Levelset's core construction payment platform using Python, Django, JavaScript/jQuery, PostgreSQL, Redis, and AWS.
- Built full-stack workflows for lien notices, lien waivers, payment tracking, document processing, and compliance deadlines.
- Developed scalable backend services, APIs, database models, and automated workflows supporting construction payment operations.
- Optimized application performance through PostgreSQL query optimization, Redis caching/background processing, and AWS infrastructure.
C#/.NETASP.NETSQL ServerRESTful ServicesCloud Migration
- Led custom web application development and database modernization using C#/.NET, ASP.NET, and SQL Server for enterprise and public-sector clients.
- Architected RESTful services and data portals supporting high-volume operational workflows and geographically distributed users.
- Designed cloud and infrastructure modernization solutions, migrating legacy systems and databases to more scalable environments.
- Developed database-driven applications, integrations, and internal platforms that streamlined client operations and reduced infrastructure complexity.
- Partnered with clients to translate business and technical requirements into production-ready software and infrastructure solutions.
PHPJavaScriptHTML/CSSMySQLAPI Integrations
- Built custom web applications and e-commerce platforms using PHP, JavaScript, HTML/CSS, and MySQL.
- Developed backend business logic, database-driven features, customer portals, and administrative tools for client applications.
- Designed and integrated APIs and third-party services to automate business workflows and connect external systems.
- Optimized database queries and application performance while troubleshooting production issues across client platforms.
- Managed end-to-end development, testing, deployment, and ongoing maintenance of web applications.
C#SQL ServerJavaScriptNetwork MonitoringAutomation Scripting
- Developed internal tracking dashboards and automation tools using C#, SQL Server, and JavaScript to streamline IT operations.
- Built custom scripts and integrations for network monitoring, log processing, infrastructure tracking, and uptime reporting.
- Automated operational tasks and data collection to improve infrastructure visibility and reduce manual IT administration.
Education
Where it started
T
Thomas Edison State University
1999 – 2003
Bachelor of Science in Systems Engineering
Get in touch
I read every email. Even the long ones.
Email me→contact@kennethwebber.com
📍 Louisiana, USA · open to remote