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ā¾ Frontend: React 19, TypeScript, MUI component library, GraphQL mutations & subscriptions (AWS AppSync), mobile-first layouts
ā¾ Backend: Python 3 Lambdas, OpenAI API for content planning, image composition pipeline, Instagram/Facebook/X third-party API integrations, DynamoDB
ā¾ Infra: AWS Amplify Gen 2 (TypeScript IaC), Step Functions, S3 + CloudFront with Lambda@Edge image optimization, Cognito multi-tenant auth, X-Ray tracing
I owned the entire stack: the React 19 frontend including the real-time workflow status UI, the Step Functions state machine that orchestrates scraping ā AI content planning ā image generation ā social publishing in sequence and parallel, and the CloudFront + Lambda@Edge layer that serves optimized assets at the right dimensions per platform.
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we just wrapped a full redesign, including dashboard, entire application, end to end.
they came to us with cluttered layouts, a SaaS aesthetic that felt heavy and outdated. the kind of ui that makes users feel like they're doing work just to navigate it.
we stripped it back completely with adding more modern visual language, minimal layouts, intentional use of whitespace, a design system that actually scales with the product.
what the client said when they saw it: "you all just changed it and made it so minimal, soothing to the eyes and for greater user experience."
if you are looking for a design partner, dm us or book a call. let's talk about what your product could look like.
Introducing Job Board Hub, a full-stack application built with the MERN stack to explore remote job opportunities across different areas such as technology, design, marketing, and more.
The main idea behind the app is to help users find job opportunities and quickly understand whether a position fits their profile.
One of the main features is AI Job Summary, an artificial intelligence integration that generates summaries of long job descriptions. Many job posts often include lengthy text, mixed requirements, and repetitive information, so the goal was to improve the user experience and make reading faster and clearer.
Beyond the visible feature, this project also allowed me to work on important backend decisions:
- AI integration through an AI Gateway
- The possibility to switch or combine models in the future
- Rate limiting to prevent abuse and control token usage
- Streaming responses to improve the perception of speed
- Clean backend architecture within a MERN app
- Organization of remote jobs by categories
The focus was not just to āadd AI,ā but to integrate it in a more thoughtful way: considering costs, user experience, scalability, and system control.
Job Board Hub is a simple app in concept, but it helped me demonstrate how an AI feature can provide real value when supported by good backend decisions.
Iām very happy with this project because it combines product, backend, and artificial intelligence into a useful and easy-to-understand experience.
#MERN #FullStackDevelopment #ArtificialIntelligence #BackendDevelopment #React #NodeJS #MongoDB #ExpressJS #AIIntegration #WebDevelopment
Everyone talks about AI models.
Few talk about what makes AI actually work in production. ā”
A production-ready AI system is more than just plugging into an API.
It needs:
š High-quality retrieval (RAG)
š§ Smart orchestration & model selection
š Real integrations with tools & APIs
š”ļø Guardrails, permissions & safety layers
š Monitoring, observability & cost control
Thatās the difference between:
ā an impressive AI demo
and
ā
an AI product real users can depend on
As an AI Engineer, I help businesses build intelligent systems that are reliable, scalable, and built for productionānot just prototypes. š
Which layer do you think most teams underestimate? š
#AI #GenerativeAI #LLMAgents #RAG #AIEngineering #LangChain #PythonDeveloper #ArtificialIntelligence #MachineLearning #AIProducts #Automation #SaaS #TechInnovation #Contra
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