Responsive UI Development
HTML, CSS, JavaScript, Tailwind CSS, mobile-first layouts, polished landing pages, and dashboards.
Open to frontend, healthtech, AI, and solutions engineering roles
Frontend software engineer.
I build responsive web experiences, dashboards, and workflow tools that connect clean UI, AI workflows, healthcare data, and implementation-ready product thinking.
Start with the proof that matches the role:
8+ yrshealthcare data + workflows
15+software, data, and UI projects
AI + RCMevaluation, agents, healthcare automation
Open to frontend roles
Tabitha Khadse
Focused builder with frontend, AI evaluation, healthcare data, and implementation experience.
HealthTech operations UI
Readable data, workflow clarity, AI-aware review states.
KPIclear display
Flowguided workflow
AAaccessibility focus
Responsive UIJavaScriptTailwind CSSDashboardsClient WebsitesForward Deployed EngineeringHealthcare DataAI EvaluationAutomationAccessibilityFrontend Engineer
Responsive UIJavaScriptTailwind CSSDashboardsClient WebsitesForward Deployed EngineeringHealthcare DataAI EvaluationAutomationAccessibilityFrontend Engineer
Skill snapshot
Frontend skill with a practical product mindset.
The goal is not just making pages look good. I build interfaces that are clear, usable, responsive, and connected to real workflows.
AI Evaluation
Contract AI training, rubric-based review, hallucination detection, safety, clarity, and instruction-following.
Healthcare Data
HIPAA, PHI/PII, payer rules, denials, eligibility, claims, and regulated workflow accuracy.
Client-Facing Engineering
Portfolio sites, business websites, forms, automation, requirements, workflows, and implementation thinking.
Role clarity
Where I fit best.
I am primarily targeting frontend software engineering roles, with healthcare, AI evaluation, and implementation work as the differentiators that make my work practical and workflow-aware.
Healthcare workflow softwareAI quality + evaluation workflowsFrontend/dashboard UIAutomation + technical solutions
Roles and keywords that match this work
Frontend DeveloperFrontend EngineerUI EngineerHealthcare Software EngineerTechnical Solutions EngineerForward Deployed EngineerHealthcare Data / RCM AnalystAI Workflow / Evaluation Specialist
Primary path: frontend engineering. Strong adjacent path: solutions / FDE-style roles where UI, workflow mapping, client communication, and healthcare domain context matter.
I understand the workflow behind the interface
My healthcare billing and RCM background helps me design screens around the real work: eligibility, claims, denials, authorizations, coding, payer rules, PHI/PII, audit trails, and data quality. That makes the projects more grounded than generic dashboards.
RCM workflowsClaims + denialsEligibilityAuthorizationsPHI/PII awarenessAI review
10+ demos with screenshots and case-study framing
Client sites for real people and organizations
HealthTech projects across RCM, billing, annotation, and coordination
Automation from voice input to structured task workflows
Featured work
Case studies with stronger proof.
I pulled the strongest work from the Engineering Hub so this page shows not just screens, but problems, solutions, outcomes, domain knowledge, and implementation links.
Engineering notes
Engineering notes that show how I think.
These notes explain the thinking behind the projects: workflow, architecture, tradeoffs, product decisions, and why each build matters.
Proof-of-work deck
Read notes
Engineering Case Studies Hub
Why the portfolio is structured as an engineering proof system instead of a list of scattered links.
Portfolio strategy
Read notes
The Strategy Behind the Engineering Hub
How the portfolio is organized around healthcare, AI quality, automation, and frontend/full-stack engineering fit.
Healthcare RCM thinking
Read notes
What Denial Management Taught Me About Dashboards
A technical story connecting denial workflows, AR aging, payer context, and dashboard design decisions.
AI evaluation systems
Read notes
Why AI Quality Is Workflow Design
A case-study deck explaining why human review, data quality, escalation, and auditability matter as much as model metrics.
High-stakes workflow notes
Read notes
AI Quality Workflow for Healthcare Data
A focused technical note on model accuracy, edge cases, annotation workflows, and why healthcare AI needs reliable process design.
Engineering notes
Engineering notes are best viewed on desktop.
They include deeper writeups on healthcare dashboards, AI quality workflows, portfolio strategy, and systems thinking. You can still open them from mobile if you want to review the deck-style pages.
Best-fit roles
Clear job targets, not a confusing mix of titles.
My primary path is frontend software engineering. AI, healthcare data, and forward deployed implementation are the differentiators that make me stronger for the right teams.
Primary targetBest fit
Frontend Engineer
For roles focused on responsive interfaces, dashboards, user flows, component thinking, accessibility, and clean JavaScript-driven experiences.
- Portfolio and business websites
- Dashboard and data UI
- Mobile-first frontend polish
Adjacent targetStrong fit
Forward Deployed / Solutions Engineer
For customer-facing engineering roles where I can turn messy workflows into working interfaces, automations, demos, and implementation-ready solutions.
- Requirements to working UI
- Client communication
- Workflow mapping and delivery
Niche advantageSpecialized
HealthTech / AI Product Engineer
For teams building healthcare, AI quality, data validation, claims, payer, eligibility, or operations tools that need domain-aware software thinking.
- HIPAA + PHI/PII awareness
- AI evaluation experience
- Healthcare workflow knowledge
Frontend craft
More than a résumé page — a UI portfolio that shows how I think.
This page demonstrates visual judgment, spacing, responsive behavior, component thinking, data display, and professional polish immediately.
Interface polish
Clean hierarchy, readable typography, consistent buttons, balanced cards, and modern visual systems.
Responsive layouts
Layouts that work across desktop, tablet, and phone without cramped text or horizontal scrolling.
Data-driven UI
Dashboards, filtering, KPI cards, API views, and interfaces that make complex data easier to read.
AI product awareness
AI evaluation experience helps me design interfaces that support clarity, trust, and human review.
Frontend proof
What should stand out in the first minute.
The interface shows frontend judgment through layout, responsiveness, interaction details, clear structure, and real project context.
Frontend proof UI system
Hero, proof cards, case studies, filters, modal, chatbot, and mobile-first structure.
UIpolish
UXflow
Jobfocus
Responsive designLayouts are designed for desktop, tablet, and phone with tap-friendly buttons, readable text, stacked cards, and no horizontal scrolling.
UI system thinkingConsistent typography, spacing, cards, tags, buttons, gradients, hover states, sections, and dark/light mode styling.
Interactive frontend featuresProject filters, case-study modal, theme toggle, mobile menu, floating assistant, prompt chips, animations, and accessible controls.
Decision-ready structureBest-fit roles, contribution paths, project case studies, and contact actions are structured for fast evaluation.
Forward deployed fit
A strong path for frontend, AI, and real-world implementation.
I am interested in forward deployed engineering because it combines software development, user-facing problem solving, client collaboration, and practical deployment in real environments.
Requirements to working UI
Comfortable translating user needs, business goals, and workflow pain points into clear interfaces and technical solutions.
Frontend + workflow delivery
Builds responsive dashboards, forms, websites, and automation-connected interfaces that help users complete real work.
Quality-aware systems
AI evaluation and data validation experience support roles that require testing outputs, finding edge cases, and improving reliability.
Domain advantage
Healthcare operations experience helps with regulated workflows, PHI/PII, claims, denials, payer rules, and user trust.
Best-fit roles to target next
Frontend Engineer, Frontend Solutions Engineer, Forward Deployed Engineer, Forward Deployed AI Engineer, Technical Solutions Engineer, Healthcare Software Engineer, and AI Implementation Engineer.
Frontend EngineerForward Deployed EngineerSolutions EngineerAI ImplementationHealthTech
First 30 days
How I start creating value quickly.
I turn product context into frontend, workflow, and data improvements that are easy to understand, test, and maintain.
Understand users + workflow
- Review the product, UI flows, and current pain points.
- Map user requirements into screens, forms, dashboards, or automations.
- Document gaps clearly for technical and non-technical teammates.
Improve frontend quality
- Build or polish responsive UI screens.
- Improve layout consistency, accessibility, button states, and mobile usability.
- Turn product requirements into clean, maintainable frontend components.
Support data + AI workflows
- Validate UI behavior against real workflow logic.
- Help review AI outputs, edge cases, and user-facing clarity.
- Bridge healthcare/data context with implementation details.
How I work
Quiet focus, clear communication, polished delivery.
I do my best work in deep-focus environments with clear goals, thoughtful communication, and space to solve problems carefully.
Deep focus
I enjoy taking ownership of a problem, thinking through the details, and staying persistent until the solution feels clean and reliable.
Thoughtful communication
I am soft-spoken, but I communicate clearly through written updates, documentation, focused questions, and meetings that move the work forward.
Independent execution
I am comfortable working independently, managing tasks, following through, and refining details without needing constant hand-holding.
User-centered quality
I care about building interfaces and workflows that are useful, readable, accessible, and polished for the people who rely on them.
Best environment fit
I am strongest on teams that value async-friendly collaboration, clear requirements, useful documentation, deep-work time, and practical delivery. I can join meetings when they are needed, but my biggest value comes from building, debugging, refining, documenting, and getting the work done.
Engineering playbook
How I move from ambiguity to usable software.
This comes from the Engineering Hub: make the work visible, explain the tradeoffs, then prove the interface through case studies, demos, and implementation notes.
01
Discovery & analysis
Break down the user problem, workflow constraints, data quality issues, and success criteria before writing code.
02
System design
Choose the right data model, UI structure, integration path, and validation approach for the problem.
03
Implementation
Build clean, responsive, documented interfaces with reusable patterns, clear state, and practical error handling.
04
Optimization
Refine usability, performance, accessibility, dashboard scan speed, and workflow clarity based on feedback.
Why this improves the portfolio
Strong project work is more than a list of links. These notes show how I think, how I translate domain problems into software, and why healthcare and AI context make the UI better.
RCM to engineering advantage
Your healthcare operations background becomes product judgment.
I use real claims, denials, authorizations, payer rules, and compliance context to design clearer healthcare tools.
Complexity management
FromHealthcare claim rules, payer logic, denials, and exceptions.
ToWorkflow logic, validation states, edge cases, and dashboard structure.
High-stakes accuracy
FromBilling, compliance, PHI/PII, HIPAA, and zero-tolerance data mistakes.
ToQuality-focused UI, clean data display, review workflows, and AI output evaluation.
Process automation
FromReducing manual administrative workflows and repeated operational friction.
ToAutomation portals, AI-assisted review tools, intake flows, and implementation-ready apps.
Experience
Work history connected to frontend, workflow, and healthcare software roles.
Experience is aligned with the current resume: frontend/client delivery, forward-deployed consulting, AI quality evaluation, and healthcare revenue-cycle operations.
Forward-Deployed Engineer and Software Architect Consultant
Accountability & Hopeful Fridays (AHF)
- Translate nonprofit goals into platform architecture, implementation tasks, and launch decisions for hopefulfridays.org and planned member portals.
- Advise on public website, member portal roadmap, infrastructure approach, database and data-flow planning, forms, donation flows, and AI-enabled workflow investments.
- Review and improve responsive website implementation for mobile and desktop usability, content parity, accessibility, maintainability, and deployment readiness across GitHub and Hostinger workflows.
- Create implementation prompts, UX/technical guidance, QA notes, and documentation for stakeholder review, engineering handoff, and long-term maintenance.
Founding Software Engineer and Frontend Architect
Caprizo Consulting
- Build and maintain Caprizo Consulting digital assets, including caprizoconsulting.com, client-facing pages, responsive UI, service positioning, and portfolio materials.
- Develop frontend and workflow automation solutions using HTML, Tailwind CSS, JavaScript, Google Apps Script, and Google Sheets for intake, lead tracking, and client delivery.
- Define reusable technical workflows, documentation standards, implementation prompts, and QA checklists for AI-assisted website, automation, and data-quality projects.
- Use AI-assisted development to accelerate content structure, UI review, debugging, and implementation planning while preserving human review and final quality control.
AI Trainer / LLM Quality Evaluator, Contract Consultant
LinkedIn AOR/FMS via GreenLight
- Evaluate AI-generated responses for accuracy, reasoning quality, clarity, helpfulness, and instruction adherence using structured evaluation guidelines.
- Compare multiple model outputs and select the strongest response based on defined quality criteria and evidence-based analysis.
- Review model outputs for factual errors, logic gaps, unsupported claims, prompt-following issues, quality concerns, and guideline compliance.
- Write concise evaluation rationales documenting quality issues, decision logic, and opportunities for model improvement.
Healthcare Data and AI Quality Engineer
Contract Consulting
- Evaluated AI-generated healthcare administrative outputs for eligibility, enrollment, benefits, and plan data accuracy.
- Validated member and plan data extracted from unstructured sources to support data integrity for downstream healthcare workflows.
- Applied HIPAA, PHI, and PII standards and documented failure patterns, edge cases, and validation gaps to improve review consistency.
Full Stack Developer and Automation Freelancer
tabitha.dev
- Developed responsive web applications and client projects using HTML, CSS, JavaScript, Tailwind CSS, and practical frontend design principles.
- Built user-facing websites connected to forms, backend workflows, databases, Google Sheets, and automation tools.
- Translated client requirements and brand goals into user-friendly digital experiences, documentation, and maintainable project assets.
Managed Care Billing Specialist
Providence Healthcare Management
- Reduced claims processing time by 20% by improving follow-up workflows, using systematic data review, and standardizing operational processes.
- Improved first-pass claim acceptance by analyzing denial patterns, correcting recurring workflow issues, and documenting payer-specific steps.
- Managed eligibility, authorization, claims, payment, and denial follow-up while protecting HIPAA-regulated PHI and PII.
Medical Billing Specialist
Richter Healthcare Consultants
- Supported revenue cycle operations across billing, claim review, account follow-up, payer communication, and documentation workflows.
- Reviewed claim and payment data to identify missing information, payer issues, and opportunities for cleaner follow-up processes.
Skill matrix
Frontend first, supported by software, AI, and healthcare data.
Frontend
HTML5CSS3JavaScriptTailwind CSSResponsive DesignUI DevelopmentAccessibility
Software / Full-Stack
PythonREST APIsGitHubForm IntegrationsGoogle Apps ScriptBackend WorkflowsLinux CLI
Data
SQLPostgreSQLData ValidationData CleaningETL ValidationReporting
AI Quality
AI Output EvaluationRubric DesignPrompt ReviewAnnotation ReviewEdge CasesAI Safety
Healthcare / RCM
HIPAAPHI / PIIRCMClaimsDenialsEligibilityAuthorizationsPayer RulesAR AgingUB-04CMS-1500PointClickCareRIS / PACSLCD / NCD
FDE / Solutions
Requirement GatheringClient CommunicationWorkflow MappingImplementation SupportTechnical DocumentationUser-Centered Delivery
Tools / Platforms
VS CodeJiraConfluenceExcel (Advanced)AzurePower AppsPower PagesPower AutomateCopilot StudioDataverseGit
Education + training
CS foundation with AI and healthcare compliance training.
M.S. Information Technology
University of the People, Oct 2025. GPA 3.97. Databases, machine learning, cybersecurity, advanced algorithms.
B.S. Computer Science
University of the People, Dec 2023. Data mining, software engineering, data structures, web programming.
AI Python + Agents
Udacity AI Python Nanodegree and Kaggle / Google AI Agents Intensive training.
HIPAA + Managing AI
HIPAA compliance training and PMI Certified Professional in Managing AI.
Open to opportunities
Looking for a frontend engineer who understands UI, AI, and real healthcare workflows?
I am open to frontend developer, frontend engineer, software engineer, forward deployed engineer, technical solutions engineer, healthcare software engineer, AI quality engineer, and AI implementation/evaluation roles.
Frontend DeveloperFrontend EngineerSoftware EngineerFull-Stack DeveloperForward Deployed EngineerTechnical Solutions EngineerHealthcare Software EngineerAI Quality Engineer
8+years healthcare ops
RCMworkflow improvement
UIfrontend focus
AIevaluation experience
Resume is now available as a PDF. The experience section below is aligned with the current resume.
Last updated: June 2026