Almaz Dolubaev

Senior engineer on feature squads for the platform Capital One agents use to take credit card applications — prequalification through onboarding, 3M+ applicants a year. Own end-to-end design, code reviews, and delivery across the Vue.js front end and Node.js/TypeScript services on AWS. Architected high-throughput prequalification workflows that cut application processing time by 20%.

Built Sherlock, a GenAI app that turns plain-English prompts into Splunk queries and log diagnosis — incident triage from hours to minutes — and reusable Claude skills that recovered 50% of routine engineering hours. Drive Core Web Vitals work on high-traffic screens, grew Playwright end-to-end suites to 100+ scenarios with Splunk alerting, and run Jenkins CI/CD to Lambda, S3, and ECS under AWS Well-Architected security practice.

Architected the wealth-management platform UI for TWG from scratch in Angular 18, SCSS, and Tailwind — leading LLMs exposed through Palantir's API, real-time data visualizations, and complex dashboards. Led foundation-model and LLM integration for the enterprise AI Registry feature set, with AI-assisted development in Cursor.

Built a multi-tier AI prompt library adopted across every department of the client company — 40% less time on data processing and analysis — then led the migration of the six-month Angular 18 codebase to React 19 in four weeks for an on-schedule handover. Designed and maintained the REST APIs and services behind it.

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 API integrations and Node.js services under Public Trust security protocols, 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 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 accessible form handling in Angular and Angular Material. Held an 80%+ coverage standard across Cypress, Karma, and Jest, lowering annual post-launch defect rates by 15%.

Developed the Facility Management Information System (FIMS) for Dulles International Airport, automating maintenance operations across the facility. Delivered the Work Order, Timesheet, and Inventory modules, replacing manual hand-offs between airport departments and cutting annual operating expenses by over $300K.

Authored 20+ SQL queries that cut facility maintenance turnaround by 10%, and scaled the platform to reliably support 500+ concurrent users on React, Node.js, Express, and MySQL.

Built browser-based document-processing tools for government users with JavaScript, HTML5, and Node.js, and led the migration from paper-based workflows to digital, boosting operational efficiency by 35% — 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.