NobleProg is seeking an experienced Full Stack Development Trainer to deliver live, instructor-led training focused on building web applications using the FARM stack: FastAPI, React, and MongoDB. This course focuses on helping developers build dynamic, high-performance, and scalable full stack web applications using Python-based backend development, React frontend development, and MongoDB database integration. Engagement Details Location: Remote Daily Rate: $1,100 per training day Duration: 2 days Number of Participants: 5 Course Scope The training covers the full FARM stack development workflow, from environment setup and backend API development to React frontend implementation, MongoDB integration, application testing, deployment, and basic security practices. Course Outline - https://www.nobleprog.com/cc/farmstack NobleProg SOP - https://share.synthesia.io/a0788c6e-56d5-4da8-92c6-0d5c03ad6d52 Key Topics Include * FARM stack overview and comparison with MERN * FastAPI, React, and MongoDB development environment setup * MongoDB Atlas setup and database connection * Building REST APIs with FastAPI * CRUD operations and MongoDB functions * API testing and troubleshooting * Creating React projects and frontend components * Using axios, bootstrap, CSS, and JSX * Adding interactive frontend functionality * Testing full stack applications * Backend and frontend deployment * Authentication, user management, routers, and access permissions Trainer Responsibilities * Deliver engaging, instructor-led FARM full stack development training * Provide practical examples and hands-on lab exercises * Explain backend, frontend, and database concepts clearly * Support participants in building and testing full stack applications * Customize the course based on participant background and client needs * Prepare training materials and hands-on exercises (trainer remains the ownership of training content) Required Qualifications * Strong hands-on experience with FastAPI and Python backend development * Strong experience with React frontend development * Experience working with MongoDB and MongoDB Atlas * Experience building, testing, and deploying full stack web applications * Prior experience delivering technical or corporate training Nice to Have * Experience with FARM, MERN, or similar full stack development frameworks preferred * Experience with authentication and user management implementation preferred * Experience deploying applications using Heroku, GitHub, or similar platforms preferred How to Apply Please include * A brief overview of your FARM or full stack development experience * Your experience with FastAPI, React, and MongoDB * Your experience delivering instructor-led or corporate technical training * Confirmation of remote and/or onsite availability in the USA * Any relevant examples of full stack development training delivered

We're building a data-driven platform in the beauty/cosmetics space. We've already collected a very large volume of scraped product and brand data, and it's messy - inconsistent formats, duplicates, missing fields, mixed languages, and unreliable values. Your job is to turn that raw data into something clean and reliable, and to build the web application on top of it. This is not a quick gig. We're looking for someone to stay with us for roughly a year and grow with the product. What you'll be doing Building and maintaining a Next.js (App Router) front end and back end Designing and managing our Supabase setup (Postgres schema, RLS policies, auth, storage, edge functions) Cleaning, normalizing, and deduplicating large beauty datasets (this is a major part of the role) Building data pipelines to process and validate incoming scraped data Writing transformation/normalization logic (units, brand names, categories, ingredients, pricing, etc.) Setting up data-quality checks and monitoring Iterating on features with us as the product evolves You should have Strong production experience with Next.js and Supabase (please point to specific projects) Solid SQL/Postgres skills - not just ORMs Real experience cleaning and normalizing large, messy datasets (Python/pandas or similar is a plus) Comfort working with scraped data and all the inconsistencies it brings Good written English and reliable communication Ability to work independently and own your part of the product Nice to have Experience in e-commerce, catalog, or product-data projects Familiarity with data pipelines / ETL tooling Some ML/NLP experience for entity matching or text cleanup Budget We expect this to run around $4,000–$5,000 USD per month depending on experience and hours. This is a long-term commitment, so stability and quality matter more to us than the lowest rate. To apply, please include: Similar past work - links or short descriptions of Next.js + Supabase projects, and at least one data-cleaning/normalization project you've done. Your time zone and your typical available hours - we need to know there's reasonable overlap. Your expected monthly budget within the range above (or your rate if hourly). Applications that don't address all three points will not be considered. A short note on how you'd approach cleaning messy beauty product data is a big plus. We read every proposal carefully and respond quickly to strong candidates. Looking forward to working with you.

We're looking for a senior full-stack engineer to take on hands-on work across our web platform, architecting features, building APIs, and delivering polished, performant UI. Looking for someone that can do full stack but is heavy UI developmenet leaning. You'll be doing: Building full-stack features end-to-end (dashboards, booking, payments, admin tools, etc.) Modernizing existing code and reducing technical debt Node.js services, REST APIs. Performance optimization across front-end and backend CI/CD, automated testing, container-based deploys You should have: 8+ years building production web apps Strong TypeScript across a modern framework (React) Solid Node.js / Express backend experience AWS or GCP, Docker, and CI/CD experience Comfort with PostgreSQL Automated testing (Jest, Vitest, or similar) Bonus: AdonisJS, Golang

We are building a custom internal platform for our travel advisor network. This is not a website or a Webflow project. This is a production-grade full-stack application built in Next.js and TypeScript with MongoDB Atlas as the primary database and Airtable as the CRM and operations layer. The platform includes a role-based advisor dashboard, a super admin dashboard, a custom booking submission form, commission tracking and tier logic, five admin report types with CSV exports, secure invoice file storage, transactional email workflows, and integrations with Airtable, Webflow CMS, Mailgun, Cloudinary, and a private object storage service such as AWS S3 or Cloudflare R2. We have a detailed internal technical proposal covering architecture, phased delivery plan, data models, role and permission structure, milestone definitions, and cost modeling. You will receive the full document before any engagement begins. This is a fixed price milestone based engagement across five phases over approximately eight weeks. All source code, accounts, and assets are owned by Xullu throughout the project. Do not apply with a generic proposal. Your application must include a live production Next.js application you have built, your approach to Airtable API caching for high volume reporting, your approach to secure financial document storage with server side access control, and your fixed price broken down by milestone. Budget range is $10,000 to $14,000. We are not looking for the lowest rate. We are looking for the most qualified.

Full-Stack Developer Needed to Build Production-Ready Budget-Focused Meal Planning Web Application Project Overview I am building a consumer web application focused on helping users create affordable meal plans and shopping lists while staying within a grocery budget. The project has progressed beyond the concept stage and currently includes: * Validated prototype * Product requirements documentation * GitHub repository * Supabase environment * Frontend application foundation I am seeking an experienced full-stack developer to help transform the existing foundation into a production-ready MVP. This is a contract opportunity with potential for future work following a successful launch. Scope of Work The selected developer will help: * Review and improve the existing codebase * Implement production-ready frontend and backend functionality * Design and optimize database relationships * Build user authentication and account management * Implement core application workflows * Prepare the application for deployment * Create maintainable technical documentation Technology Stack Current environment includes: * React-based frontend * Supabase * PostgreSQL * GitHub * Modern web application architecture Developers may recommend improvements if justified. Required Experience Required: * Full-stack web application development * React * JavaScript / TypeScript * Node.js * PostgreSQL * REST API integration * GitHub workflow experience Preferred: * Supabase experience * AI-powered application experience * Startup MVP experience * Experience improving existing applications Deliverables * Production-ready MVP * Clean and maintainable code * User authentication * Core application functionality * Deployment support * Technical documentation Timeline Target MVP completion: 6–10 weeks NDA & Ownership A standard NDA and work-for-hire agreement will be required prior to sharing detailed specifications and prior to project start. All work product, code, documentation, and intellectual property created as part of this engagement will be owned by the client. Budget & Proposal Requirements As an early-stage startup founder, I am operating with a limited development budget and am looking for the most cost-effective path to launch. When submitting a proposal, please include: 1. Estimated total project cost 2. Estimated timeline 3. Recommended development approach 4. Opportunities to reduce development cost while maintaining quality 5. Which items you would prioritize for Version 1 6. Which items you would recommend postponing until a later release Please provide specific recommendations rather than generic proposals. To Apply Please include: 1. Links to relevant projects 2. Experience with React and Supabase 3. Experience building consumer-facing web applications 4. Experience productionizing prototypes or existing applications 5. Your answer to the following question: "If this were your own startup and your own money, how would you build the MVP as cost-effectively as possible?" Please begin your proposal with the word "StretchBites" so I know you have read the entire posting.

About the Role: We are seeking a highly qualified Senior Machine Learning and Natural Language Processing Engineer with deep expertise in sentence parsing, contextual understanding, categorization, and language extraction to support and advance Sybal’s Proof of Governance® (PoG™) platform. This role blends advanced NLP engineering, full-stack development, and enterprise-grade deployment. You will design custom NLP models, build scalable AI-driven services, and deploy production-ready applications that transform raw policy and technical language into structured governance intelligence. You must be a senior-level full-stack engineer proficient in Python, Django, JavaScript, HTML, and CSS, with the ability to dockerize and deploy applications into production environments. Experience commercializing enterprise AI applications is required. You should also be familiar with using agentic AI tools in a development context—for debugging, workflow acceleration, rapid prototyping, and improving engineering efficiency. ________________________________________ Key Responsibilities: NLP & Machine Learning Engineering: • Build advanced NLP models for sentence parsing, context detection, semantic analysis, entity extraction, and policy language interpretation. • Develop hybrid ML + rule-based systems that support governance modeling and policy decomposition. • Create pipelines for text ingestion, annotation, categorization, and structured language extraction. • Design evaluation frameworks for accuracy, drift, reliability, and linguistic precision. • Research and implement non-LLM NLP methods relevant to governance and policy analysis. Full-Stack Engineering: • Develop production-ready applications using Python (spaCy, NLTK, TensorFlow, or PyTorch to build and optimize NLP models), Django, JavaScript, HTML, CSS, and modern tooling. • Further develop NLP models for PoG™ Feature enhancements. • Develop and maintain secure, scalable REST APIs and backend services. • Integrate ML components seamlessly into PoG™’s architecture. Production Deployment & DevOps: • Dockerize machine learning pipelines and full-stack applications for uniform deployment. • Deploy and manage services in cloud production environments (AWS, GCP, or Azure). • Set up CI/CD pipelines, monitoring, observability, and scalable containerized processes. • Ensure production performance, uptime, and system reliability. AI Automation for Engineering Efficiency: • Use agentic AI tools to assist with debugging, test generation, workload orchestration, and internal development workflows. • Integrate AI-assisted coding tools responsibly into engineering processes. Contribute to the Proof of Governance® Platform: • Build NLP and ML components that strengthen PoG™’s ability to: • Map policy language into structured governance data • Detect enforceability gaps • Identify policy dependencies and contextual interactions • Deliver measurable, enforceable governance intelligence • Collaborate with PoG™ architects to extend platform intelligence across governance domains. ________________________________________ Qualifications: Required Skills & Experience: • 6–10+ years of software engineering experience with specialization in ML and NLP. • Mastery of sentence parsing, syntax/semantic analysis, dependency modeling, and contextual extraction. • Proven experience commercializing enterprise AI or ML-driven applications. • Proficiency in: o Python o Django o JavaScript o HTML / CSS • Demonstrated ability to dockerize applications and deploy them into production. • Strong understanding of ML architecture, data modeling, distributed systems, and backend engineering. • Experience using agentic AI tools for engineering workflows (debugging, code analysis, test generation). • Strong cloud engineering experience (AWS, GCP, Azure). Preferred Qualifications: • Background in computational linguistics or structured policy analysis. • Experience with ontologies, taxonomies, or governance modeling. • Prior work in regulated, audit-heavy, or mission-critical environments. • Contributions to high-scale enterprise software platforms. ________________________________________ Who You Are: • You excel in both advanced NLP engineering and full-stack software development. • You can design systems end-to-end—from custom algorithms through front-end integration to production deployment. • You understand how to use AI to accelerate development processes. • You are driven by building systems that transform governance from assumption to measurable, enforceable proof. • You are excited to contribute to the continuous evolution of PoG™

We are seeking a skilled Flutter fullstack developer located in the Detroit area to join our team. The ideal candidate will have experience in building high-performance multi-platform applications using the Flutter framework on AWS. You will work collaboratively with the founders and offshore partner to support our consumer application. If you are passionate about consumer app development and have a keen eye for detail, we would love to hear from you!

Job Description: We are looking for a skilled, "under-the-hood" Full-Stack Developer to help build out Lafayette Academy’s online portal. We have clear visual layouts, a working offline prototype, and a live front-end dashboard currently hosted on Vercel. We use AI heavily in our workflow for strategy, logic, and rapid drafting. However, we do not want an AI-only prompt engineer. We need a traditional, foundational developer who understands actual code architecture, databases, and deployment systems. If the AI generates a buggy script, you must have the depth of knowledge to debug it manually and make it work. What You Will Do: Take existing static mockups (HTML/CSS/Next.js components) and integrate them into our live Vercel environment, OR help create new mockups if the ones we have need to be upgraded. Connect user interfaces to a secure database (like Supabase or Firebase) to handle real-time student data. Help bridge our frontend to API endpoints (like OpenAI) to power our live "Personalization Cues" for instructors. Troubleshoot, debug, and optimize existing code when automated tools hit a wall. Our Tech Stack Focus: React / Next.js Vercel Hosting Tailwind CSS Database integration (SQL/Supabase/Firebase) To Apply: Please start your proposal with the words "Under the Hood." This proves you read the description. Tell us briefly about a time you had to manually fix a complex database or code glitch that automated tools couldn't solve.

I’m building Elevyn, a platform designed to help people better understand themselves through connected data, intentional reflection, and AI-generated insights. This is not a social media platform. This is not a productivity app. This is not just another trading journal. Elevyn is an operating system for self-mastery, with trading serving as the first environment where personal growth becomes measurable. Most apps collect data. Elevyn is designed to observe. The goal is to connect information across different areas of a person’s life and uncover meaningful patterns that help them improve their decision-making, habits, discipline, and overall performance. The Vision Users will log information such as: • Sleep • Mood • Daily reflections • Workouts • Morning routines • Trading activity • Goals • Habits • Personal notes Instead of simply displaying this data, Elevyn will analyze relationships between it and surface meaningful insights. Examples include: • “You slept less than 5 hours before 7 of your last 10 losing trades.” • “Your win rate increases after completing your morning routine.” • “You tend to become more impulsive after multiple winning days.” • “Your consistency improves when workouts and journaling happen on the same day.” The long-term vision is an intelligent system that continuously helps users become more self-aware. Current Stage I already have: • Brand identity • Vision and philosophy • User flows • Interactive prototype • Core feature planning • Long-term roadmap I’m now looking for a developer or small team (2-3 people) to build the first production version. What I’m Looking For I’m looking for someone who can think beyond simply building screens. I want someone who can: • Build scalable architecture • Recommend the best technologies • Think through user experience • Ask thoughtful questions • Help solve technical challenges • Build for future AI integrations • Create clean, maintainable code Experience with AI, analytics, mobile applications, and scalable backend systems is a significant advantage. Technology (Open to Recommendations) I’m open to your recommendations, but I’m considering: • Flutter or React Native • Node.js or Python backend • PostgreSQL • Firebase/Supabase • AWS • AI integrations (OpenAI or similar) • Secure authentication and cloud infrastructure Long-Term Vision Trading is only the beginning. The underlying engine should eventually support entrepreneurs, athletes, creators, students, and anyone pursuing mastery in a specific area of life. The core idea remains the same: Help people understand themselves by connecting patterns across their behaviors, decisions, and outcomes. Who I’m Looking For I’m looking for someone who believes in building meaningful products—not just completing tasks. If you’re excited about creating a platform that combines psychology, data, AI, and personal development into something people genuinely use to improve their lives, I’d love to hear from you. Please include examples of similar work, your recommended tech stack, and how you would approach building a scalable MVP that can grow over time.

DataSci Technologies, Inc. is an enterprise software C-Corp. We own our domain (datascitechnologies.com) and have finalized our independent institutional asset valuation. We are seeking an elite, Expert-level Full-Stack Product Architect / Fractional CTO to build the V1 / MVP layout of our proprietary predictive AI platform, the DST Codex, from the ground up. The Product & Target Audience: The DST Codex is a secure, high-end portal built specifically for institutional asset management firms and real estate conglomerates managing $250M to $10B+ in AUM [1.1]. The platform maps out, quantifies, and visualizes hidden operational risk metrics—known as "Shadow Variables"—to protect institutional capital. The user interface must look like a premium, dark-mode institutional banking terminal. Required Technical Scope (Full Lifecycle Build):Infrastructure & Security: Secure database architecture setup using AWS or Google Cloud Platform with enterprise-grade encryption. Front-End & Interface: Building a pristine, highly aesthetic, dark-mode responsive dashboard layout (React, Vue, or enterprise visual frameworks like WeWeb/Bubble). The Core Visualization Layer: Engineering interactive, custom open-source data tracking charts (utilizing D3.js or high-performance visualization packages) to map out predictive risk telemetry. User Auth: Airtight, password-protected multi-tenant user authentication and client login portals. Project Structure: We are a capital-efficient C-Corp moving at high velocity. We are looking for an experienced product builder who can act as a long-term technical partner. Please share your portfolio of completed SaaS platforms/dashboards, outline your architectural recommendations, and state your standard fixed-price or monthly fractional structures for a 60-day development milestone sprint.