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Build and lead AI-powered marketing systems for real estate agents, including self-serve ads, AI-generated video, and attribution pipelines, using TypeScript, React, Node.js, and AWS.
Build and scale full-stack features for an AI-driven platform that helps local restaurants grow online orders and compete with chains.
Build and maintain cloud infrastructure and CI/CD pipelines for a construction-intelligence platform, using Azure, Terraform, and Kubernetes to automate deployments and ensure reliability.
Build and deploy full-stack MERN applications (web and mobile) for e-commerce and proptech clients, from concept to production.
Maintain and extend requirements-management tools (Polarion, Jama, etc.) for global engineering teams, integrating them with DevOps pipelines and ensuring compliance with automotive standards like aSPICE.
Build and ship full-stack features in React, Next.js and TypeScript, integrating REST APIs and occasionally extending NestJS/PostgreSQL; own component systems, state management and observability for a SaaS that helps restaurants run ads and track results.
Build a cloud-native real-estate transaction platform using .NET Core, C#, SQL Server, Angular 18+, and Kubernetes while integrating GenAI coding tools.
Build and maintain a .NET 10/C# backend and Angular/TypeScript frontend for a proptech platform used by 500k+ real estate professionals managing 250M+ m² of space.
Build and ship the AI backbone for a property-management assistant: RAG pipelines, multi-step agent workflows, and LLM integrations that power daily operations for 20,000+ HOA and condo communities.
Lead the architecture and development of large-scale RAG and NLP systems for vertical AI platforms, using PyTorch, vector databases, and probabilistic modeling to deliver predictive intelligence for high-stakes industries.
Builds and maintains .NET Web APIs and server-side logic for a proptech firm using Entity Framework, REST, and SQL, collaborating closely with frontend teams.
Build and maintain data pipelines that feed AI agents in a proptech startup, using Python, SQL, and cloud tools to clean and organize data for models and insights.
Build and own backend services in Python/FastAPI that power a SaaS platform for restaurants, integrating POS, ads, and AI-driven analytics while ensuring scalable, observable, and secure production systems.
Build data pipelines and a knowledge graph to unify messy engineering data (BIM, PDFs, spreadsheets) into a queryable system for AEC firms.
Designs and maintains data infrastructure, ETL pipelines, and cloud-based warehouses to support analytics and reporting for a construction/infrastructure-focused company.
Design and build Python-based applications and microservices, shape system architecture, and automate business processes for a growing group of companies in travel, real estate, sales, and services.
Design and build Python-based systems and microservices for a growing group of companies in travel, real estate, sales, and services, focusing on business-driven architecture and automation.
Builds and maintains a web app using Angular, RxJS, NgRx, and TypeScript, collaborating with UX/UI and backend teams to implement features and optimize performance.
Build fast, secure Jamstack/PWA sites and award-winning React frontends for global clients in e-commerce, energy, and construction using Next.js, Gatsby, and headless CMS.
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