I’m looking for a developer to help me build a platform that predicts World Cup match results and refines those predictions with real-time data. The project will involve leveraging AI algorithms, machine learning models, historical match data, player stats, and live performance metrics to create accurate match predictions. The platform will need to continuously update and vet these predictions based on new data as the tournament unfolds. If you're passionate about soccer, AI-driven solutions, and real-time systems, this could be an exciting challenge for you. The role will involve developing a scalable platform using technologies like React, Node.js, and possibly Python for data analysis and machine learning. You'll integrate real-time data through APIs to pull match stats and player performance information. AI will be central to the prediction system, with algorithms that analyze historical trends and live data to improve accuracy. You’ll also create a vetting process to ensure predictions remain sharp and reliable as the tournament progresses. The platform must be able to handle high traffic during live events while offering a seamless user experience. I’m looking for someone with experience in AI-based prediction systems, strong web development skills (React, Node.js), and familiarity with working with APIs for real-time data integration. If you have a background in machine learning, real-time data processing, and sports analytics, that would be a major plus.

We want to develope an iphone app similar to our GoCanvas app that incorporates AI for job inspection reports. We will start with daily inspection reports and then create inspection and testing reports. We have dozens of existing reports that can be reduced to only a few with drop down options. I want field techs to take photos and dictate observations. AI should then draft a report to be saved in our Dropbox. I have attached one sample report. The main drawback to GoCanvas is once report is submitted for review, we are limited and no new sections or photos can be added. Also, some pages are very busy and some nearly blank, so appearance can be improved. Some basic construction knowledge is helpful.

I am seeking an experienced ML engineer to provide insights on the design of a model I am planning to build. Your expertise in model design and architecture will be invaluable in helping me make informed decisions.

## Project at a Glance - Project stage: Partially built; bootstrapped project where efficiency, speed, cost, and lean execution matter. - Expected project duration: Approximately 1 to 2 months. - Engagement type: Independent contractor / hourly engagement only. - Scale target: The app should be architected with future growth in mind, including a target capacity of 80,000+ monthly active users with reasonable headroom to scale without avoidable rework, security degradation, or performance issues. - Security posture: SOC 2 readiness should be considered from day one; certification may occur later. - Meetings: One weekly video sync of up to 60 minutes may be scheduled by mutual agreement and should be accounted for in the contractor’s proposed budget. ## Overview We are building a production-grade, multi-tenant SaaS web application designed for enterprise-level scale, security, and reliability. The application may handle employee data and is being built with SOC 2 readiness in mind from day one. This is a bootstrapped project. Speed and lean execution are critical, and every decision should balance quality with pragmatism. The product is being designed to last, scale, and withstand technical, security, and operational scrutiny. We are seeking a U.S.-based individual senior full-stack engineer who can personally lead the web app development scope through production-ready implementation, end to end. No outsourcing outside the U.S. No agencies. ## Technology Stack - Front-end: Next.js App Router, TypeScript, Tailwind CSS - Backend / API: Next.js API Routes, Supabase Edge Functions, FastAPI / Python - Database: Supabase PostgreSQL - Authentication: Supabase Auth, OAuth, SSO, MFA - Authorization: RLS / Row-Level Security, RBAC - Realtime: Supabase Realtime - LLM / AI: OpenAI / Anthropic / Gemini-compatible LLMs - Billing: Polar.sh - HRIS Integration: Unified third-party connector - Email Delivery: Resend - Analytics: PostHog - Error Monitoring: Sentry - Infrastructure: Vercel + Supabase - CI/CD: GitHub Actions - Testing: Vitest / Jest, Playwright - AI Agents: Agentic workflows, tool use, and related architecture - MCP Integrations: MCPs for ChatGPT, Claude, Gemini, or similar environments - Additional technologies may be used. ## What We Are Looking For - Experienced full-stack SaaS product engineer with a strong, verifiable portfolio - Deep expertise in Next.js and TypeScript - Production-grade Supabase experience, including RLS, Realtime, and Edge Functions - Python back-end development experience with LLM integration, including RAG pipelines, memory, or fine-tuning workflows - Experience implementing subscription lifecycle flows and seat-based access control end to end - A genuine standard for clean, well-organized, maintainable code - Demonstrated ability to design systems that can scale horizontally without structural rework - Demonstrated ability to work efficiently in a lean, bootstrapped environment - Security-first development practices, especially when handling sensitive or regulated data - Clear, prompt professional communication - Experience building AI agents or agentic workflows - Experience building MCP integrations for ChatGPT, Claude, Gemini, or similar platforms - Experience designing hierarchical multi-tenant account structures with seat-based access control ## Strongly Preferred - Hands-on experience building RAG pipelines and LLM fine-tuning workflows in production - Experience handling employee or HR data, including PII access controls, audit trails, and data residency considerations - Experience building toward SOC 2 readiness in a prior engagement - HRIS or enterprise HR system integration experience - Familiarity with OWASP, NIST CSF, or CIS Controls ## This application is being built to last and may handle sensitive employee data. We are looking for an engineer who takes code quality, data responsibility, lean execution, and long-term system health seriously. ## Please answer all 5 screening questions in your response. ## Communication - Contractor should identify normal availability windows and provide timely responses, generally within one business day during those agreed availability windows. - Day-to-day communication will generally be async through the applicable platform or contract workroom. - One weekly video sync of up to 60 minutes may be scheduled by mutual agreement for status updates, completed-work summaries, blockers, and upcoming priorities. Contractor should account for this meeting time in the proposed hourly rate or budget. - Pre-engagement sales, proposal, or introductory scoping discussions are not billable. ## Confidentiality and IP Project details are shared only after the client’s NDA is executed. If both parties decide to move forward, a separate IP Assignment Agreement is required before any offer is accepted or substantive work begins. This is an independent contractor / hourly engagement only and does not include full-time employment, salary, benefits, equity, revenue share, product ownership, or any ongoing engagement beyond the agreed scope.

Need an AWS Rekognition Custom Labels expert to improve an image classification model for identifying plumbing parts. Current model accuracy is approximately 55%. Dataset consists of approximately 300+ images per item captured with a Foldio turntable. Need assistance with: Dataset review Training strategy Classification vs object detection recommendations Improving model accuracy to 90%+ AWS Rekognition Custom Labels implementation Experience with computer vision and AWS Rekognition required. Deliverables: Review the existing dataset Create a new image capture strategy Train the model Test the model Document the entire process 2 hours of screen-sharing sessions explaining everything

Custom iPad Client Closeout, Feedback & Review Automation Platform Developer Project Overview We are a high-end residential design-build firm seeking a developer to create a custom iPad-based client closeout platform. The system will be used during final project walkthroughs to conduct a structured satisfaction survey, capture referrals and testimonials, generate personalized AI-powered review content, and guide homeowners through the Google Review submission process. Our goal is to create a seamless, professional experience that increases client engagement, captures valuable feedback, improves our online reputation, and strengthens long-term client relationships. This project will be used by our team in homeowners' residences during project closeout meetings and should be designed to be simple, intuitive, and completed in just a few minutes. Desired Workflow 1. Team member conducts an in-person closeout survey with the homeowner. 2. Responses are entered into the iPad application. 3. The system evaluates client satisfaction and identifies highly satisfied clients. 4. AI generates a personalized review draft based on the client's actual responses. 5. The client reviews and edits the review if desired. 6. The client enters or confirms their Google account information. 7. The system directs the client to our Google Review page and facilitates the review submission process. 8. Survey results, testimonials, referral opportunities, and review data are stored in a database and/or Google Sheets. Survey Questions The application should allow us to customize and modify survey questions over time. Initial questions may include: Overall Satisfaction * How satisfied are you with your overall experience? * Did the completed project meet or exceed your expectations? * Would you hire us again for future projects? Communication * Were we responsive to your questions and concerns? * Did you feel informed throughout the process? Design & Construction Experience * Were you satisfied with the design process? * Were you satisfied with the quality of workmanship? * Did our team effectively solve challenges that arose during the project? Referrals & Advocacy * Would you recommend us to friends or family? * Would you be willing to provide a referral? * Would you be willing to participate in a future case study or testimonial? Marketing Permissions * May we use photos of your project in our marketing materials? * May we use portions of your testimonial or review in our marketing materials? AI Review Generation Based on survey responses, the application should generate a natural, authentic review draft. Example: "Working with Marvista Design + Build was a wonderful experience. Their team was responsive, professional, and highly organized throughout the entire process. We especially appreciated their communication, attention to detail, and commitment to quality. The finished project exceeded our expectations, and we would gladly recommend them to anyone considering a remodeling project." The generated reviews should vary in language and structure so they feel authentic and personalized. Additional Features Testimonial Capture * Collect written testimonials * Optional voice-to-text testimonial entry * Store testimonials in a searchable database Referral Capture * Identify clients willing to refer others * Capture referral contact information * Track referral opportunities Net Promoter Score (NPS) * Include NPS scoring * Flag dissatisfied clients for internal follow-up * Prevent unhappy clients from being directed toward public review requests Reporting Dashboard * Review completion statistics * NPS tracking * Referral tracking * Testimonial tracking * Historical reporting Data Storage Preferred integrations include: * Google Sheets * Google Workspace * Airtable * Cloud database solutions We are open to recommendations. Technical Requirements We are open to the developer's recommendation regarding architecture and technology stack. Potential solutions include: * Native iPad application * React Native * Flutter * Progressive Web Application (PWA) * OpenAI API integration * Google Workspace integration * Airtable integration The solution should be easy to maintain and scalable for future enhancements. Future Vision This is intended to become Phase 1 of a broader client experience platform that may eventually include: * Automated review campaigns * Referral management * Client for Life program tracking * Testimonial library management * CRM integration * Marketing automation We are looking for a developer who can help us think strategically about the long-term roadmap, not simply build the initial application. Ideal Freelancer We are looking for someone who: * Has experience building custom business applications * Has experience with AI integrations * Has experience with survey platforms and workflow automation * Understands user experience and interface design * Can recommend the best technical approach * Can build scalable solutions that can evolve over time When Applying, Please Include 1. Examples of similar applications you have built. 2. Experience with AI-generated content and OpenAI integrations. 3. Experience with Google Workspace, Airtable, or CRM integrations. 4. Your recommended technical approach for this project. 5. Estimated timeline and budget range. 6. Any suggestions for improving the workflow described above. We are less concerned with a specific technology stack and more interested in finding the right development partner who can help us create an exceptional client experience.

Job Title: Full-Stack Website Developer / Software Engineer – Lending Broker Portal Position Summary Lending Success Pot is seeking an experienced Full-Stack Website Developer / Software Engineer who can thoroughly understand our lending broker business processes and continuously improve our technology platform. The ideal candidate will analyze existing systems, identify opportunities for improvement, integrate modern technologies, and develop scalable solutions that enhance the borrower, lender, and internal team experience. This position requires someone who is highly analytical, innovative, and experienced in web development, software engineering, system integration, automation, and artificial intelligence. Key Responsibilities Job Title: Full-Stack Website Developer / Software Engineer – Lending Broker Portal Position Summary Lending Success Pot is seeking an experienced Full-Stack Website Developer / Software Engineer who can thoroughly understand our lending broker business processes and continuously improve our technology platform. The ideal candidate will analyze existing systems, identify opportunities for improvement, integrate modern technologies, and develop scalable solutions that enhance the borrower, lender, and internal team experience. This position requires someone who is highly analytical, innovative, and experienced in web development, software engineering, system integration, automation, and artificial intelligence. Key Responsibilities Gain a thorough understanding of the entire Lending Success Pot business model, lending workflow, and customer journey. Analyze existing website architecture, customer portals, and internal systems to identify opportunities for improvement. Design, develop, maintain, troubleshoot, and optimize the Lending Success Pot portal. Improve user experience, website performance, scalability, reliability, and security. Develop secure borrower, broker, lender, and administrator portals. Integrate lead management systems to efficiently capture, organize, qualify, and track prospects throughout the lending process. Integrate CRM platforms and marketing automation tools to streamline customer communications, lead nurturing, campaign management, and reporting. Build automated workflows for: Lead capture Loan applications Document collection Identity verification Appointment scheduling Loan status updates Email and SMS notifications Follow-up sequences Customer onboarding Integrate AI agents and intelligent automation to assist with: Customer support Lead qualification Frequently asked questions Appointment scheduling Document collection Loan application assistance Customer follow-ups Internal workflow automation Integrate third-party APIs, including lending platforms, CRM systems, payment processors, e-signature services, communication platforms, analytics tools, and other business applications. Collaborate with management to recommend innovative technology solutions that improve efficiency and business growth. Monitor system performance, troubleshoot technical issues, and implement continuous improvements. Ensure compliance with data security, privacy, and industry best practices. Maintain comprehensive technical documentation and follow software development best practices. Qualifications Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or equivalent professional experience. Strong experience in full-stack web development and software engineering. Expertise in modern web technologies, APIs, cloud services, databases, and system integrations. Experience integrating CRM platforms, lead management systems, marketing automation platforms, and AI-powered solutions. Strong understanding of automation technologies and business process optimization. Excellent analytical, troubleshooting, and problem-solving skills. Ability to translate complex business requirements into scalable technical solutions. Strong communication skills and the ability to work collaboratively with cross-functional teams. Preferred Experience Experience with lending broker platforms, financial technology (FinTech), customer relationship management (CRM), loan origination systems (LOS), AI agents, conversational AI, workflow automation, cloud infrastructure, analytics dashboards, and secure web application development is highly preferred. Success Measures The successful candidate will deliver a highly efficient, secure, and scalable lending portal that improves operational efficiency, enhances customer experience, automates manual processes, integrates AI-driven capabilities, strengthens lead management and marketing automation, and supports the long-term growth of Lending Success Pot.

We're a growing service company looking for an experienced developer to build a Slack bot that answers employee questions about our HR policies, SOPs, and internal documentation. Team members will tag the bot in a channel, ask a question in plain language, and receive a conversational, accurate answer grounded in our documented materials. **This is a build + teach engagement.** I have no coding background, and a core requirement of this project is that you walk me through your decisions and architecture as you build, so I can understand, maintain, and eventually extend the system myself. If you're a strong developer but don't enjoy explaining your work, this isn't the right fit. ## What You'll Build A production-ready Slack bot with the following architecture: - **Slack integration** using Slack's Bolt framework (Python or Node.js — your recommendation welcome) - **Retrieval-Augmented Generation (RAG)** pipeline: questions are matched against our documentation via semantic search, and relevant context is passed to an LLM for a conversational answer - **Vector database** (Pinecone, Weaviate, or a comparable option you can justify) storing embeddings of our policies, SOPs, and transcripts - **OpenAI API** integration for embeddings and chat completions - **Document ingestion pipeline** that can handle multiple source formats: Word docs, PDFs, spreadsheets, and plain-text transcripts (e.g., exported Loom video transcripts) - **Source citations** in bot answers, so users can see which policy or document the answer came from - Deployment to a cloud environment (AWS, Heroku, Railway, or similar) with clear instructions for how it runs and how to restart or update it ## Technical Requirements You should have demonstrable experience with: - Slack app development (Bolt framework, event subscriptions, OAuth/permissions setup) - OpenAI's API (chat completions and embeddings) - RAG architecture and vector databases (Pinecone, Weaviate, Qdrant, pgvector, or similar) - Python or Node.js backend development - Cloud deployment and basic DevOps (environment variables, API key security, uptime) **In your proposal, please link to or describe at least one similar project you've built** — ideally a Slack bot, a RAG system, or an LLM-powered internal tool. ## Deliverables 1. A working Slack bot deployed to production and connected to our Slack workspace 2. Document ingestion process (with instructions or a simple tool for me to add new documents myself as our documentation grows) 3. Full source code in a repository I own, with clear comments 4. **Written documentation** covering: system architecture, how each component connects, how to add/update documents, how to update API keys, and common troubleshooting steps 5. **Teaching sessions**: recorded screen-share walkthroughs (or live calls) at each major milestone explaining what was built and why — I estimate 3–5 sessions of 30–60 minutes 6. A handoff session at the end where we test the bot together and review maintenance procedures ## Communication & Working Style - Regular progress updates (at minimum, 2x per week) - Willingness to explain decisions in plain English, not just technical jargon - Patience with beginner questions — teaching is part of the paid scope, not a favor - Fluent written and spoken English - Availability for scheduled video calls (please note your time zone in your proposal) ## Scope Notes - Initial document set is modest, but the system should be designed to scale as our documentation library grows significantly - Future phases may include: automatic transcript ingestion from Loom, additional Slack channels/workflows, and analytics on what questions get asked — mention if you have experience with any of these - I will provide: Slack workspace admin access, OpenAI API account, and all documentation to be ingested ## How to Apply In your proposal, please include: 1. A brief description of a similar project you've built (links or screenshots appreciated) 2. Your recommended tech stack for this project and a one-paragraph explanation of why 3. Your approach to the teaching/documentation component 4. Estimated timeline and total cost (fixed price preferred; open to milestone-based payment) 5. Your time zone and general availability Proposals that are clearly personalized and address the teaching component will be prioritized. Generic copy-paste proposals will be declined.

We are seeking a skilled software developer to finialize our Software development and create a multi-agent orchestration platform. The role involves fininalizing/creating our software development of out Ai-Native TMS, creating a multi-agent orchestration platform that creates all necessary agents to improve system reliability, and optimizing performance. The ideal candidate will have experience in software development and a strong understanding of multi-agent systems. You will work closely with our team to ensure seamless integration and deployment of new features.

Building an AI-powered trading intelligence platform backed by one of the biggest stock-trading YouTubers in the space (7-figure audience, direct distribution to our exact target users from day one). We're not looking for product-market fit — we have a warm audience waiting. We're in the final push to V1 launch and shipping fast. What we've already built An AI Strategy Builder: traders describe a strategy in plain English, our LangGraph agent pipeline (Claude) turns it into code, and a NautilusTrader engine backtests it against years of tick-accurate market data A real data moat: TimescaleDB with 10 years of futures/equities data Live market intelligence: screeners, regime classification, probability models What you'll build You'd own big, meaty features end to end - not tickets, not maintenance: The strategy optimization engine: run 60+ market signals as filters over backtest results, rank by statistical impact, present improvements to users (this is our flagship differentiator) Statistical validation: walk-forward testing, overfitting protection Market calculators: VWAP, volume profile, pre-market levels A daily AI trading playbook delivered via text/Discord Real-time pipeline health monitoring Our stack Python/FastAPI · LangGraph + Claude (Anthropic API) · NautilusTrader · TimescaleDB/Postgres · React/TypeScript/Vite · NestJS · WebSockets · AWS Who we need Someone cracked. Specifically: 5+ years shipping production Python backends (FastAPI/Django/Flask) — you write code that survives contact with real users Real LLM engineering experience — agent pipelines, structured outputs, prompt-driven codegen, LangGraph/LangChain (or you've built equivalents from scratch) Strong SQL and data chops — you're comfortable with time-series data at scale Full-stack ability — you can carry a feature from Postgres to React without waiting on anyone Trading/quant/fintech domain experience is a big plus — you know what Sharpe, drawdown, and walk-forward mean without Googling You ship daily, communicate crisply in Slack, and don't need a PM to translate ambiguity into work Why this gig Direct line to founders, zero bureaucracy — your code hits production the week you write it Guaranteed distribution at launch via our backer's audience — your work gets used by thousands of real traders immediately Long-term engagement for the right person, with room to grow into a lead role