Almaz Dolubaev

Full-stack development of the platform Capital One agents use to take credit card applications on customer calls — from prequalification through onboarding — supporting 3M+ customers annually. Serve as technical lead on feature squads, owning solution design, code review, and end-to-end delivery across the Vue.js front end and Node.js services deployed on AWS.

Integrated GenAI/LLM capabilities into agent workflows and internal developer tooling, accelerating both applicant handling and team velocity. Hardened platform reliability by expanding Playwright end-to-end coverage and building Splunk dashboards and alerting, and improved performance on the platform's highest-traffic screens. Mentor junior engineers through pair programming and architecture reviews, and own Jenkins CI/CD workflows aligned with Capital One's well-architected cloud and security standards.

Led the front end of an AI-powered wealth and investment management platform, building real-time data visualizations, user authentication, and interactive dashboards from the ground up in Angular 18. Delivered the AI Registry use case, integrating LLMs and foundation models directly into core business workflows.

Designed responsive, theme-driven UI components with Tailwind that improved visual consistency across the product, implemented REST APIs and services for reliable client–server data exchange, and maintained Azure DevOps CI/CD pipelines for continuous delivery in close partnership with product and engineering leadership.

Built UCM NexGen, a federal platform for investigating and managing Medicare & Medicaid improper payments and fraud, waste, and abuse. Delivered the document management service, a dynamic-form framework powering 50+ modal workflows, 20+ interactive D3 visualizations, and authentication and permission services, plus a browser-based PDF editor built on the Foxit SDK.

Architected REST APIs and backend services for reliable data storage and retrieval, led framework and library upgrades on a six-month cadence, and authored maintainable TypeScript that cut the platform's incident count by three quarters. Achieved 90% code coverage across Cypress, Karma, Jasmine, and Jest suites, and drove Scrum/Kanban practices that tightened delivery timelines. Recognized with the peer-voted Star Performer Award, 2023.

Built the AMCAS for Schools platform, delivering streamlined admissions analytics to 140+ U.S. medical schools. Engineered the applicant statistics reporting suite — 20+ reports spanning 1,000+ data fields with custom filtering — whose visualization features earned a 9/10 user satisfaction rating and 50% higher adoption than comparable AMCAS features.

Also implemented the Fee Assistance Program (FAP) platform for medical school applicants, engineering more than 100 validated input fields with robust, accessible form handling in Angular and Angular Material.

Developed the Facility Management Information System (FIMS) for Dulles International Airport, automating maintenance operations across the facility. Delivered the Work Order, Timesheet, and Part Ordering modules, eliminating manual data hand-offs between airport departments and saving over $300K annually.

Authored 80+ optimized SQL queries that reduced facility maintenance time by 30%, and scaled the platform to support 500+ concurrent users on an Angular, Node.js, and MySQL stack.

Built browser-based document-processing applications for government users with JavaScript, Node.js, and Express, and led the migration from paper-based workflows to digital, improving processing efficiency by 60% — where the line began.

Across six years of consulting engagements, owned delivery end to end: requirements gathering with government stakeholders, implementation, and long-term support of systems that public-sector teams relied on daily.