Project Overview: I am building Reseller Bro, a mobile utility application designed for on-the-go users to analyze product images and instantly retrieve live, accurate marketplace valuation metrics. The front-end user interface and layout are largely complete. The application uses an AI workflow for visual recognition and keyword generation, but the backend data retrieval and sync pipeline needs optimization for speed and absolute accuracy. I am looking for a highly skilled backend developer to conduct a code audit, repair a broken data aggregation pipeline, and optimize our database caching architecture. The Core Tasks: Database Cache Failure: The app currently fails to properly save or recall data on repeat queries. We need a high-speed caching layer so that if an item has already been searched once, the second lookup pulls from the internal database instantly (under 1 second). Data Sync & Engine Accuracy: The live data gathering process is currently unstable and occasionally returns empty results even for common consumer items with deep market history. Once the AI identifies the item keywords, the data pipeline must reliably sync and aggregate live pricing data from major public e-commerce and secondary marketplaces. Data Array / Tier Mapping Mix-up: The app currently handles item condition mapping poorly, sometimes displaying irrational pricing tiers (e.g., valuing low-tier condition higher than top-tier condition). We need a clean pre-fetch matrix that normalizes marketplace conditions into three clean categories on the first search and automatically filters out pricing anomalies or extreme statistical outliers. Required Technical Skills: Strong backend development experience using Node.js or Python. Advanced expertise in data extraction, handling complex HTML/JSON payloads, managing dynamic connection protocols, and optimizing marketplace data synchronization. Deep experience with database optimization and high-speed caching layers (such as PostgreSQL, Redis, or similar). Ability to step into an existing codebase, audit backend logic, and refactor code without disrupting the current frontend UI layout. 💰 Budget & Performance-Based Milestones ($700 Total) This contract is fixed-price and strictly milestone-driven based on functional performance metrics. No milestones will be released without successful live-testing verification. Milestone 1 ($150) - Code Review & Cache Repair: Audit the inherited repository. Fix the database caching system so that previously queried items bypass the live search entirely and load data instantly (under 1 second). Milestone 2 ($250) - Data Pipeline Optimization & Matrix Mapping: Fix the live data aggregation process to consistently pull reliable pricing from target market channels using the AI-generated keywords. Implement data-cleaning and normalization rules to ensure price tiers always reflect a logical tier structure while removing extreme outliers. Milestone 3 ($300) - Final Integration & Testing: Fully connect the optimized database cache, clean data sorting logic, and application backend into a finalized, stable build ready for deployment testing. To Apply: Please respond with your relevant experience in optimizing high-speed database caches and managing high-volume marketplace data aggregation. Please briefly explain your typical approach to ensuring stable, reliable data connections with public e-commerce platforms. Full project source files and existing code repositories will be shared with top candidates during the interview phase.

I am looking for a developer or agency to build a web platform called First Responder Academy. The goal is to create the most comprehensive AI-powered training platform for firefighters, EMTs, and paramedics. The platform will initially focus on: 1. Firefighter Oral Board Preparation 2. EMT NREMT Preparation 3. Paramedic NREMT Preparation 4. Firefighter I Certification Preparation 5. Firefighter II Certification Preparation Core Features Required: * User accounts and login system * Membership and subscription management * AI-powered training simulator * Progress tracking * User dashboard * Mobile-friendly design * Modern, professional interface * Ability to scale over time AI Training Features: The AI should be able to: * Conduct firefighter oral board interviews * Score responses * Provide detailed feedback * Generate EMT and paramedic scenarios * Generate Firefighter I and II questions * Create multiple-choice exams * Provide remediation and study recommendations * Increase or decrease difficulty based on performance Knowledge Base Features: The system should allow: * Uploading NREMT skill sheets * Uploading EMS protocols * Uploading Firefighter I and II standards * Uploading department-specific hiring packets * Uploading study guides and training documents The AI should reference uploaded materials when generating questions and grading answers. EMS Features: * EMT training mode * Paramedic training mode * NREMT-style testing * Practical scenario evaluations * Protocol-based learning * Trauma and medical assessment training * Airway management training * Cardiology training Cardiology Module: A major future feature will be ECG interpretation. Requirements: * ECG image library * Random ECG presentation * Student interpretation * AI grading and feedback * Rhythm recognition training * Treatment decision evaluation Firefighter Features: * Firefighter Oral Board Simulator * Firefighter I Exam Preparation * Firefighter II Exam Preparation * NFPA / IFSAC-based content * Scenario-based learning * Multiple-choice testing * Leadership and decision-making exercises Department-Specific Training: The platform should eventually allow users to: * Upload local EMS protocols * Upload department hiring packets * Upload mission statements and values * Receive customized training based on those documents Progress Tracking: The platform should track: * User scores * Weak areas * Practice history * Completion rates * Recommended study topics * Improvement over time Admin Features: * Upload and manage training content * Upload and manage protocol documents * Upload and manage ECG images * Create and edit question banks * View user analytics * Manage subscriptions Technology Preferences: * Modern scalable architecture * AI integration using OpenAI API * Secure user authentication * Cloud-hosted * Responsive design * Easy content management Design Style: * Professional * Modern * Clean * Fire and EMS themed * Dark mode preferred * Red, black, gray, and white color palette Important: I am looking to build an MVP first, not every feature immediately. Phase 1 priorities: 1. User accounts 2. AI training simulator 3. Oral board preparation 4. EMT preparation 5. Paramedic preparation 6. Firefighter I and II preparation 7. Progress tracking 8. Membership system Future phases can include ECG image testing, advanced protocol integration, department-specific customization, and additional first responder training programs. Please provide: * Estimated timeline * Estimated cost * Recommended technology stack * Examples of similar projects * Suggestions for MVP development

We are building a HIPAA-compliant SaaS platform for medication stewardship in skilled nursing facilities (SNFs). The platform allows clinical pharmacy consultants and providers to upload scanned medical documents, run AI-powered medication and disease state reviews, and generate clinical findings — all without storing any patient data. This is a focused, well-defined MVP. No scope creep. We need a developer who moves fast, communicates clearly, and has real experience with HIPAA-eligible AWS architecture. Core concept — stateless processing: This platform is intentionally stateless. Documents are uploaded, processed through OCR, analyzed by AI, and the findings are displayed to the user. Nothing is written to a database. No patient data or documents are retained after the session ends. The platform processes PHI transiently and discards it — significantly simplifying the HIPAA footprint while maintaining compliance. What you will build: 1. AWS infrastructure (HIPAA-eligible, stateless) — S3 used only as a temporary processing buffer (files deleted immediately after OCR completes) — AWS Textract for OCR processing of scanned PDFs and images — AWS Bedrock (Claude Sonnet) for AI-powered clinical analysis — AWS Cognito for user authentication only (no clinical data stored) — AWS Amplify or CloudFront for React frontend hosting — KMS encryption for data in transit — All services configured under AWS BAA coverage — No RDS or persistent database required for clinical data 2. React frontend — Clean single-page application — Document upload UI (drag/drop, supports PDF and image files) — OCR text display with basic edit capability before analysis — Free-text question input (user asks Claude questions about the document) — Claude response display panel — Copy to clipboard button on all output — User login and profile page (name, email, facility) — Membership and billing settings page — Stripe monthly subscription integration 3. HIPAA compliance — Stateless architecture — no PHI persisted after session — HTTPS enforced on all endpoints — AWS BAA signed and covering all services — User BAA acknowledgment on signup — Audit logging for access events — Privacy policy and terms of service integration What we are NOT building in this phase: — Mobile app — EHR or PointClickCare integration — Stored intervention history or dashboard — Cost savings calculator — Admin panel — Anything beyond the three core features above: upload, analyze, copy output Ideal candidate: — 3+ years React and AWS experience — Prior HIPAA-eligible AWS builds — please describe your specific experience in your proposal — Hands-on experience with AWS Textract or comparable OCR pipelines — Familiarity with AWS Bedrock or direct LLM API integrations — Experience with stateless or ephemeral data processing architectures — Stripe subscription integration experience — Strong communicator — weekly video check-ins required — Available to start within 2-4 weeks Engagement details: — Estimated scope: 40–60 hours — Timeline: 8–10 weeks — Budget: $2,500–$4,500 USD fixed price preferred — Payment milestones: 25% upfront, 25% at working OCR pipeline, 25% at working Claude integration, 25% at launch — Communication: Weekly video check-in + async messaging How to apply: In your proposal please answer these four questions specifically: 1. Describe a HIPAA-eligible AWS application you have built — what services did you use and how did you handle PHI? 2. Have you implemented stateless or ephemeral document processing before? How did you approach it? 3. What is your experience with AWS Textract or other OCR pipelines? 4. How would you integrate AWS Bedrock or a Claude API call into a React frontend securely? Proposals that do not answer these four questions will not be considered. About us: We are an early-stage clinical SaaS platform founded by a Clinical Pharmacy Specialist. We are building a tool that genuinely improves patient care and safety in long-term care settings. We want a developer who takes pride in clean, secure, well-documented code and wants to be part of building something meaningful in healthcare. If that is you, we would love to hear from you.

We’re a product-focused team developing an AI-driven SaaS platform aimed at improving how businesses handle information, workflows, and internal processes. We’re looking for a developer who can build a smart feature that allows users to interact with their data and documents in a more automated and intuitive way. The goal is to reduce manual effort and enable faster, more informed actions through AI. This role involves designing and implementing the core logic behind the feature, connecting AI capabilities into the product, and ensuring everything works smoothly within the existing system. You should be comfortable building end-to-end functionality, working with modern web applications, and integrating AI services into real user-facing features. Experience with AI-powered products, automation tools, or data-driven applications is highly relevant.

About ZeremAI ZeremAI is a premier AI and Automation implementation consultancy that future-proofs businesses. We specialize in cutting-edge AI agents, intelligent systems automation, and real-time AI-assisted KPI dashboards across all business departments. Our "Align–Automate–Achieve" methodology bridges the gap between technology and measurable impact, helping teams reclaim up to five days of productivity weekly per employee, allowing organizations to focus on their core mission. Position Overview: We are looking for an AI Technical Account Manager who thrives at the intersection of systems architecture and client partnership. This role is for a high-presence communicator who takes pride and care about Customer Success and can translate complex AI and automation workflows into clear, actionable business wins and communicate them with the AI Development team. You are an AI Technical Account Manager at heart—someone who possesses the technical depth to design sophisticated systems but whose real superpower is leading the client relationship. You’ll be the face of our delivery team, ensuring our clients don't just get a tool, but a transformed business process they actually enjoy using. Key Performance Indicators (Success Metrics): -100% successful deployment rate of AI and automation solutions. -Ensure systems adoption success scores reach 95%+ -Increase customer productivity by 20% to 100%+ through AI automation. -Increase customer KPI achievement rate by 2x through intelligent dashboards. -Maintain 97% or higher customer satisfaction rating for solution delivery. Core Client Responsibilities: Strategic Client Leadership: - Relationship Management: Act as the primary technical point of contact, managing expectations and leading clients through the "Align–Automate–Achieve" journey with confidence. - High-Impact Communication: Lead discovery calls and project updates with clarity and brevity. You are the concise expert—getting to the point quickly and making complex concepts clear and simple to non-technical customers. - Client Success Orientation: Prioritize the "human" side of the implementation, ensuring the solution solves the client’s actual pain points rather than just being technically correct. Solution Architecture & Discovery: - Workflow Mapping: Conduct process audits to identify gaps and translate messy business problems into clean system requirements. - High-Level Design: Architect automation ecosystems using Make, Zapier, Airtable, HubSpot, and other systems, ensuring all pieces of the tech stack talk to each other seamlessly. - AI Integration: Leverage LLMs (OpenAI, Claude, etc.) to enhance productivity and build smarter business logic for clients. Delivery & Adoption: - Implementation Oversight: Work with the internal dev team to ensure the blueprints you designed are built to spec and delivered on time. - The Final 10%: Lead the hands-on training and documentation phase, ensuring the client’s team feels empowered and capable, not overwhelmed. - Iterative Optimization: Monitor performance post-launch and proactively suggest enhancements to deepen the client relationship. Key ZeremAI Operations Responsibilities: - Collaborate with the Chief AI Officer and Strategy Officer to evolve ZeremAI’s systems playbook. - Lead the evaluation and adoption of new AI technologies and platforms. - Ensure solution designs align with the Align–Automate–Achieve methodology. - Create internal system frameworks, templates, and automation best practices. - Mentor and collaborate with AI Systems Developers to maintain high-quality standards. - Analyze reporting on architecture performance, ROI metrics, and adoption rates. The Ideal Profile: Technical Fluency (The "How It Works" Knowledge): - Systems Thinker: You understand the Big Picture of how APIs, CRMs, and databases interact. You don’t need to be the world’s fastest coder, but you must be a world-class architect. - Automation Stack: Deep familiarity with CRM, Project Management, Integration, and AI tools. - AI Expert: A solid grasp of how to practically apply AI/LLMs to business workflows. The Superpowers (Client & Communication): - Professional Presence: You carry yourself with a demeanor that builds immediate trust. You are concise, articulate, and mindful of the client’s time. - Concise Communicator: You avoid the Solution Architect Trap of over-explaining. You know how to give a "Yes/No" or a "Bottom Line Up Front" (BLUF). - Leadership: You can guide, educate, and—when necessary—firmly pivot a client toward a better strategic path. Qualifications: Required Skills & Experience - 5+ years of experience in systems consulting, operations, business automation, or a similar role. - 2+ years of AI expertise in a business context - Strong hands-on experience with automation tools (JSON, Zapier, Make, Airtable, etc.) and system integrations. - Working knowledge of project management and CRM platforms (e.g., Monday.com, HubSpot, Salesforce). - Familiarity with API usage, data flows, and basic scripting or logic-based automation. - Excellent problem-solving and process-mapping skills. - Clear written and verbal communication, especially with non-technical stakeholders. - Strong client-facing presence with the ability to guide, educate, and influence clients. Preferred Qualifications: - Experience in a fast-paced startup or agency environment. - Exposure to AI tools and understanding of their application in business settings. - Technical certifications in automation platforms (Zapier Expert, Make Partner, etc.). - Understanding of business functions like marketing, sales, operations, and finance. Soft Skills: - Demonstrate creativity in problem-solving by identifying innovative solutions to client challenges and operational obstacles. - Systems thinker with a knack for breaking down complex problems. - Highly organized, self-motivated, and able to manage multiple client projects simultaneously. - Collaborative team player who thrives in a remote-first work environment. - Passionate about technology, continuous improvement, and client success.

I’m running a real estate investment platform called ToInvested.com. The project is about 90% finished, and most of the code was built with Claude together with another engineer. Now I need a senior engineer to step in, review the full product carefully, test every major workflow, and help verify that everything is working correctly before it goes live. This is not just a “write more code” role. I need someone who can look at the platform like a real product, find hidden bugs, catch weak logic, test edge cases, review the AI-generated code, and tell me honestly what is ready and what still needs fixing. Because this is a real estate investment platform, accuracy and trust matter a lot. Users may rely on property data, investment logic, calculations, and AI-driven insights, so even small issues can create a serious problem later. The ideal person has strong full-stack experience, understands AI-assisted development, and has a good testing mindset. Real estate tech experience would be a big plus, especially with property platforms, investment tools, marketplaces, mortgage systems, or financial workflows. My main goal is simple: I want someone to break the project before real users do. If you’re the kind of engineer who can take a nearly finished product, test it deeply, clean up weak areas, and help make it production-ready, I’d be happy to talk.

I need an expert senior software engineer that can provide consulting services around implementation best practices of LLM's and AI into existing application workflows. i.e. leveraging AI to extract data from a document as part of an ingestion pipeline.

Looking for an expert developer to build a private, highly secure creative and financial workspace using the Google AI Studio / Gemini 1.5 Pro API. The absolute priority of this project is a 100% complete data migration. You will take a 6-week raw chat log containing precise financial checking/savings ledgers, business blueprints, and long-form biographical story notes, and ingest it flawlessly into a permanent vector database. You will connect this repository to the Gemini API so the system maintains permanent context retention across both a laptop and an Android phone without losing a single digit or syllable. Must deliver a clean, private, password-protected web interface that allows for seamless text dialogue, image uploads (for inventory tracking), and audio processing. Security, privacy, and flawless data retention are non-negotiable.

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.