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Building a Portfolio That Converts: An Engineer's Guide
How I architected zergcore.dev for recruiter-first UX.
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Disponible para nuevas oportunidades
Zaidibeth Ramos
Software Engineer
Ingeniera Fullstack que une backends escalables con interfaces de alto rendimiento e intuitivas. Especializada en TypeScript, React y Python.
Zaidibeth Ramos
Full-Stack AI Engineer
Sobre mí
Ingeniería de Experiencias que Importan.
Full-stack Engineer bridging the gap between scalable backends and intuitive, high-performance interfaces. Specializing in TypeScript, React, and Python.
Barquisimeto, Venezuela
zaidibethramos@gmail.com
Featured Projects
A selection of my recent work, focusing on scalable architecture, AI integrations, and high-performance interfaces.
Zergcore.dev V2
This project, Zergcore, is a modern full-stack web application built for a professional portfolio and CMS platform. It features a decoupled architecture with a high-performance Python backend and a reactive TypeScript frontend, designed with a focus on AI integrations and asset management. Project Summary Zergcore serves as a digital headquarters, likely managing professional assets like resumes, portfolio projects, and AI-driven features (such as the "AI CV Architect"). The project is currently transitioning from a legacy Django system to a modern FastAPI + Next.js stack to improve performance, scalability, and developer experience. Architectural Overview 1. Backend (The "Brain") The backend is built with FastAPI, emphasizing speed and type safety. Framework: FastAPI for the REST API layer. Database & ORM: SQLAlchemy 2.0 (Asynchronous) with PostgreSQL (via asyncpg). Migrations: Alembic manages database schema versions. Security: JWT-based authentication using python-jose and bcrypt. Integrations: Cloudinary: Handles image and document (PDF) storage. Resend: Manages transactional emails. AI/PDF Tools: Uses pypdf for document processing, with hooks for LLM integrations. Legacy Path: A _legacy_django directory exists, containing the original codebase being phased out. 2. Frontend (The "Face") The frontend is a cutting-edge Next.js 15 application. Framework: Next.js (App Router) with React 19. Styling: Tailwind CSS v4 for a utility-first, modern design system. Animations: Framer Motion provides high-end micro-animations and transitions. Icons: Lucide React and React Icons. Type Safety: Strict TypeScript implementation throughout the UI and API client layers. 3. Infrastructure & Workflow Monorepo-lite: Organized into clear /backend and /frontend directories. Deployment: Docker-ready (via Dockerfile in backend) and optimized for platforms like Vercel (frontend) and traditional cloud providers. Dev Experience: Uses uvicorn with uvloop for the backend development server and Next.js Turbopack for the frontend. Directory Highlights backend/app/models/: SQLAlchemy database models. backend/app/routers/: API endpoints organized by feature. frontend/app/: Next.js App Router pages and layouts. frontend/components/: Reusable UI components. docs/: Project documentation (including historical context like btw.txt).
Next.js 15FastAPINeon DBFramer Motion
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HablemosHabilidades Técnicas
Un panorama completo de mi stack técnico y la experiencia adquirida en más de 6 años de desarrollo profesional.
Testing & Code Quality
Jest2 años
Vitest2 años
Cypress1 años
Sonar Qube2 años
Frontend & UI
TypeScript4 años
TailwindCSS6 años
MaterialUI2 años
shadcn/ui2 años
AI & ML
Pytorch1 años
RLHF1 años
Numpy6 años
pandas6 años
AI & Automation
LangFlow1 años
LangChain1 años
n8n2 años
Pipedream1 años
Backend & API
NestJS2 años
TypeScript4 años
FastAPI1 años
Flask1 años
Cloud & DevOps
Docker3 años
Github Actions3 años
AWS3 años
S3EC2Lambda
Vercel4 años
Edge Functions
Tools & Other
Git6 años
GitKraken
Experiencia Profesional
Mi trayectoria laboral, destacando roles donde lideré arquitectura, optimicé rendimiento y lancé productos escalables.
AI Training Engineer
Revelo
- Train and optimize advanced LLMs (Anthropic Claude) via RLHF to improve complex technical reasoning and algorithmic problem-solving specifically in Python and JavaScript.
- Evaluate and curate AI-generated code for strict technical accuracy, efficiency, and adherence to high-quality production standards via rigorous PR reviews and unit testing.
- Transformed AI-generated prototypes into modular, production-grade React SPAs with clean architecture.
PythonJavaScriptReactRLHF
Software Engineer
World of Women
- WoWLand (User Center): Leading development of a high-engagement dApp platform, integrating Web3 authentication and blockchain interactions for a global community.
- Full-Stack Orchestration: Architecting scalable APIs and front-end components using React and TypeScript to streamline digital asset management.
ReactTypeScriptWeb3
Technical Lead / Full-Stack Engineer
Auto Parts ID
- Architected the data flow and backend logic for Heyleo, a generative AI copilot for automotive diagnostics, ensuring highly accurate algorithmic reasoning.
- Led the technical delivery of Spare Link (a Medusa.js B2B SaaS), writing high-quality, maintainable TypeScript to process and cross-reference massive global automotive datasets.
- Authored comprehensive technical documentation and implemented strict CI/CD deployment pipelines (GitHub Actions) to enforce production-grade code standards.
TypeScriptMedusa.jsGitHub ActionsAPI Integrations
Senior Full-Stack Developer
OttoMoto LLC
- Launched OTTOpolicy™: integrated MeasureOne for automated insurance verification and policy updates; improved dealer conversion and operational efficiency.
- Delivered Add Vehicle flow with secure auth, input validation, error handling, and end-to-end platform integration.
- Established a robust test suite (Jest, Vitest, Nock, Cypress) raising coverage and shrinking critical defects.
NestJSNode.jsTypeScriptCI/CDTesting
Full-Stack Engineer
Fundación AmbLeMa
- Engineered backend integrations and database redesigns utilizing TypeScript and Python (Flask).
- Optimized Dockerized deployments to cut average API latency by 300ms and achieve 99.9%+ system uptime.
TypeScriptPython (Flask)Docker
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ContáctameEducación y Certificaciones
Mi formación académica y logros de aprendizaje continuo.
Educación formal
Ms.C. Computer Science, Artificial Intelligence
En cursoUniversidad Centroccidental Lisandro AlvaradoJan 2025 – Present
Computer Engineering (Ingeniero en Informática)
GraduadaUniversidad Centroccidental Lisandro AlvaradoJul 2014 – Jul 2020
Core focus on software architecture, algorithms, database systems, and full-stack web development.
Proyectos relacionados
Associate of Applied Science in Civil Construction Technology
GraduadaInstituto Universitario de Tecnologia Antonio Jose de SucreSep 2013 – Jul 2016
Certificaciones
Aplicado en
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