Justin Juarez

Full-stack Engineer

Dallas, TX, US

Full Stack Development

Next.js

React

E-Commerce

Shopify

Wordpress

Healthcare

Tensorflow

PyTorch

Machine Learning

Python

TypeScript

Django

Elementor

Node.js

Express.js

Redux

Tailwind CSS

Github

API

MySQL

PostgreSQL

MongoDB

Docker

Amazon Web Services

Microsoft Azure

Agile

Available for hire fromNegotiable

I'm a Full-Stack Developer with 10+ years of crafting high-performance digital experiences and AI-powered applications. 🛠️ JavaScript specialist bridging pixel-perfect UIs with scalable backend systems and modern AI workflows — equally comfortable in Financial, Travel, Healthcare, eCommerce, and SaaS environments. ⚡ Full-Stack Velocity Frontend: Next.js | React | TypeScript | Svelte | Vue Backend: Python/Django | Node.js | NestJS | Mobile: React Native | Expo (iOS/Android) | Flutter Database: PostgreSQL | MongoDB | Redis AI: TensorFlow, Langchain, Pytorch, OpenAI, Claude AI, RAG Pipelines, Vector Database, ChatGPT, Perplexity, Google Gemini Commerce & Integration Superpowers 🛒 WordPress Shopify Ecosystem Master Built 30+ custom apps with Node.js/React integrations Developed headless storefronts hitting 95+ Lighthouse scores Engineered real-time inventory sync for 50K+ SKU catalogs Integrated AI-powered automation, chatbots, and intelligent workflow systems into production applications How I Drive Business Impact 📈 ROI-Focused Development -Boosted eCommerce conversion rates by 22% through checkout optimizations -Slashed mobile bounce rates by 40% with React Native performance tuning -Automated WordPress<>ERP integrations saving 200+ operational hours/month -Built AI-assisted workflows and internal tools that improved operational efficiency and decision-making 🛡️ Future-Proof Architecture -Migrated 15 legacy systems to modern stacks (MERN, JAMstack) -Implemented CI/CD pipelines enabling 20+ daily deployments -Architected microservices handling 10K+ concurrent users -Built scalable AI-ready systems with LLM integrations, vector databases, and automation pipelines Why Teams Love Working With Me -T-Shaped Expertise - Deep in JavaScript, wide in AI systems and business strategy -Zero Black Boxes - Documented, maintainable code with 90%+ test coverage -Solution Multiplier - Every feature designed for extensibility and long-term scalability Let's build something that doesn't just work - but dominates.

Projects

Frienzy - White-Label Travel App Platform

Frienzy is a React Native-based mobile application designed for seamless group travel planning and collaboration. The app delivers a smooth cross-platform experience, enabling users to manage trips, communicate in real time, and track shared expenses efficiently. It is supported by a powerful admin panel that allows administrators to manage users, trips, bookings, and platform content with ease. The backend dashboard ensures full control over operations, analytics, and user activity, making the platform scalable and business-ready.See More

ARVA - Enterprise AI Compliance & Financial Risk Intelligence Platform

Arva AI is an enterprise AI platform focused on automating financial compliance workflows such as KYC, AML, transaction monitoring, and risk analysis for financial institutions. The platform combines LLM-powered agents, document intelligence, OCR, data pipelines, and real-time analytical systems to reduce manual investigations and improve operational efficiency. It integrates AI-driven risk scoring, entity analysis, adverse media screening, and workflow automation into a scalable enterprise SaaS environment. The system also requires secure cloud infrastructure, auditability, and high-performance backend services to support large-scale financial data processing. Projects like this involve building production-ready AI applications, integrating third-party AI services, designing ETL/data pipelines, and collaborating closely with non-technical stakeholders to deliver practical AI solutions.See More

YOLOv8 | AI Football-Tracking-Model

A deep learning model trained on YOLOv8 to track football's movement. Downloading the Dataset The dataset can be downloaded by running the commands from the commands.txt file in the terminal while in the root directory and by following the instructions. The data can also be downloaded manually from Google Open Image Dataset (https://storage.googleapis.com/openimages/web/index.html) Annotating the data To annotate the data, we can either download the annotated image or we can even do it manually using open image annotations platforms like CVAT(https://www.cvat.ai/). Training the model Once requirements are met, run the train.py file on fewer numbers on epochs(eg: 1 0r 2) to check for any errors. Once resolved, run the file on more than 50 epochs for good accuracy and deep training. Tracking the ball Using the trained model, run predict.py on the video of choice.See More

E-Shop Frontend Development

This E-shop is a modern, high-performance online storefront developed using React and Next.js, designed for fast loading, smooth navigation, and a seamless shopping experience. The site uses Next.js server-side rendering (SSR) and static generation (SSG) to ensure excellent SEO, quick page speeds, and reliable performance across all devices. The front end includes reusable React components for product cards, filters, checkout flows, and user dashboards. Product data is fetched through API routes or a headless CMS, and the store supports secure authentication, a shopping cart with persistent state, and a fully responsive layout. Optimized images, clean routing, and dynamic product pages help customers find what they need quickly. The architecture is scalable, easy to maintain, and ready for integrations like Stripe, PayPal, Shopify APIs, or custom admin dashboards. Overall, it’s a sleek, efficient e-commerce solution built with modern best practices and production-ready Next.js patterns.See More

One10 Marketing Website – WordPress-Elementor

The One10 Marketing site was built using WordPress with Elementor as the page builder. It delivers a clean, corporate design to showcase One10’s key services—Incentives, Events, Analytics, and Engagement Platforms. -Using Elementor, the site features: -Flexible, modular layouts -Custom sections for programs, case studies, and software tools -Interactive content and easy content management This setup ensures fast updates, responsive design, and a polished user experience aligned with One10’s brand.See More

Clinic Digital Healthcare Management Platform (CMS)

Built a logic for clinic with 10 roles, telemedicine, home visits, strict HIPAA compliance, and rich dashboards, streamlining care & boosting doctor workflows.See More

Airstream | WordPress | Elementor

The Airstream website showcases the iconic American RV brand known for its polished aluminum travel trailers. Built with a strong visual identity, the site reflects Airstream’s legacy of craftsmanship, innovation, and adventure. Key features: -Brand storytelling with heritage timelines and founder history -Product showcase for trailers, touring coaches, and limited editions -High-end design emphasizing luxury, performance, and community -Built for user experience, with strong mobile optimization and clear navigation The site captures Airstream’s spirit—blending tradition with modern travel lifestyle. See More

Work History

Senior Full-Stack Developer

Hike2– Led development of wholesale commerce platform serving 10K+ merchants using Node.js and Next.js – Architected event-driven microservices that improved order processing speed by 40% – Spearheaded migration from JavaScript to TypeScript, reducing production bugs by 35% – Designed PostgreSQL schemas for high-volume inventory management (50M+ SKUs) – Implemented Redis caching layer that decreased API latency from 800ms → 120ms – Established CI/CD pipelines with GitHub Actions, enabling 50+ daily deployments – Mentored 4 junior engineers in system design and performance optimization

Full-Stack Engineer

Scaled Agile, Inc.Sep 2017 - Mar 2022 • 4 yrs 7 mos– Built RESTful APIs handling 5M+ monthly requests for B2B marketplace – Developed real-time pricing engine using Node.js that processed 1M+ price updates/day – Optimized MySQL queries reducing checkout latency by 60% during peak loads – Created developer onboarding program that reduced ramp-up time by 3 weeks

Frontend Developer

OneTrustOct 2015 - Sep 2017 • 2 yrs– Implemented Next.js SSR for e-commerce frontend, improving SEO traffic by 75% – Designed WebSocket service for live order tracking (5K concurrent connections) – Automated inventory reconciliation system that reduced accounting errors by 90% - Developed and integrated custom Shopify apps to enhance store functionality and streamline operations

Junior Software Developer

Turing School of SoftwareJul 2013 - Oct 2015 • 2 yrs 4 mos– Developed and maintained Node.js API endpoints under senior guidance, supporting core platform functionality – Assisted in building Next.js frontend components using TypeScript, improving page load times by 25% – Supported database optimization efforts by writing efficient PostgreSQL queries for reporting features – Fixed 50+ minor bugs across the stack, gaining exposure to full-system debugging techniques

Education

Nova Southeastern University (NSU)

Bachelor of Technology, Computer Science2010 - 2013

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