Job Description: We are seeking an experienced attorney with expertise in commercial contracts and technology services agreements to review a Master Services Agreement (MSA) for our IT services company. Scope of Work: Review an existing MSA for legal risks and unfavorable terms. Identify clauses that may expose our company to unnecessary liability. Recommend revisions related to: Limitation of liability Indemnification Payment terms Termination provisions Confidentiality Intellectual property Warranties and disclaimers Dispute resolution Service levels (if applicable) Provide comments and suggested redlines in Microsoft Word. Answer follow-up questions regarding the recommended changes. Company Background: We provide managed IT services, network infrastructure, cloud solutions, and professional services to business clients in the United States. Qualifications: Licensed attorney (U.S. preferred) Experience reviewing and negotiating MSAs, SaaS agreements, technology contracts, or managed services agreements Strong understanding of risk allocation and liability protection for service providers Ability to provide practical business-oriented recommendations Deliverables: Redlined MSA with proposed revisions Summary of key risks and recommendations Optional 30-minute consultation to discuss findings To Apply: Please include: Your legal jurisdiction(s) and years of experience. Relevant experience reviewing technology or managed services agreements. Estimated turnaround time. Fixed-price quote for review of a standard MSA (approximately 12 pages). Budget: Fixed Price This is a one-time project with the potential for ongoing contract review work.

I’m working on an early-stage startup concept in the counter-drone / critical infrastructure security space. The product is not drone jamming, takedown, spoofing, or mitigation. The concept is a civilian-compliant drone incident management platform that helps data centers, utilities, ports, stadiums, prisons, refineries, airports, and industrial campuses detect, document, and respond to unauthorized drone activity. I’m looking for a technical advisor with experience in one or more of the following areas: Counter-UAS / drone detection RF sensing or passive RF detection Radar systems Sensor fusion Computer vision / object detection Security camera systems Physical security technology Aerospace / unmanned systems Remote ID / drone telemetry Critical infrastructure security systems The goal is not to have you build the full product right now. I’m looking for a technical expert who can review the concept, help shape the MVP, identify technical risks, and advise on what would make the product credible to customers, investors, and pilot partners. The product vision is a software/workflow layer that connects to existing cameras, sensors, employee reports, Remote ID feeds where available, and security operations tools. The platform would help security teams determine whether a drone incident is real, assess risk, preserve evidence, create an incident timeline, and coordinate response. I’d like help answering questions such as: What sensor inputs should the MVP support first? What technical claims should we avoid making early? What is feasible for a software-first prototype? How should we think about false positives: birds, aircraft, weather, reflections, etc.? What would make a pilot technically credible? What metrics should we measure during field testing? What existing hardware or sensor vendors could we integrate with instead of building hardware ourselves? What architecture would make sense for an edge gateway + cloud dashboard model? What technical risks would investors or customers challenge us on? What technical talent would we eventually need to hire? Deliverables I’m looking for: 1–2 advisory calls Technical feasibility review MVP recommendations Sensor/integration recommendations List of technical risks and assumptions Suggested pilot metrics Recommended technical hiring profile Optional written summary after the call Please let me know: Your relevant background in drones, C-UAS, RF, radar, computer vision, sensor fusion, or security systems Whether you have experience with commercial, defense, or critical infrastructure customers Your availability for an initial advisory call Your hourly rate or fixed price for a concept review What information you would need from me before the call I’m looking for someone who can be direct, practical, and honest. I do not need hype. I need someone who can tell me what is technically realistic, what is risky, and what the first credible version of this product should look like.

Job Description: We are a dental office serving as a VA (Veteran’s Affairs) Community Care provider. We are seeking an experienced Microsoft 365 and Power Automate expert to design and deploy a secure, HIPAA-compliant referral tracking system. Our current workflow receives critical, password-protected incoming patient referral emails. We need to automate the extraction of this data and feed it into a centralized tracking dashboard. Key Scope of Work: 1. Automated Extraction: Create a Power Automate flow that monitors a shared inbox, handles/decrypts incoming password-protected referral notifications, and extracts key patient metadata. 2. Database & Dashboard Setup: Build a secure tracking system using Microsoft Lists (or Excel Online) configured with distinct operational phases: -Intake Data: Veteran Name, Date Received, Authorization #, Auth Expiration Date, and Approved Treatment lines. -Scheduling Logs: Contact Status dropdowns, Contact Dates, Scheduled Appointment Dates, and VA Notification Checkboxes. -Clinical Follow-up: Tracking for post-exam Pre-Authorizations (Submission Date, Status, Expiration). 3. Security Compliance: Ensure all flows and data storage operate strictly within our secure Microsoft 365 cloud environment to maintain strict HIPAA compliance. Required Qualifications: -Proven track record building enterprise-grade workflows using Microsoft Power Automate and Microsoft Lists/SharePoint. -Experience working within HIPAA-compliant infrastructure or handling sensitive/encrypted data. -Ability to provide a short training documentation or training video for our front-office staff and Doctor. Please share examples of similar automated tracking workflows you have built when applying.

We are building a next-generation workflow automation platform that combines deterministic business rules, artificial intelligence, document intelligence, and human review workflows into a single operating system. This is not a traditional CRM project. Our vision is to develop a doctrine-driven platform where business rules serve as the system authority, AI serves as an analytical and drafting layer, and human reviewers serve as the final compliance checkpoint. We are seeking an experienced engineer or engineering partner who can help architect and build the platform from the ground up. Project Objectives The platform will: • Ingest and analyze large volumes of structured and unstructured documents • Extract data from reports, PDFs, and supporting documentation • Apply rule-based workflow logic • Generate AI-assisted recommendations and draft outputs • Maintain complete audit trails and workflow transparency • Route work through human review checkpoints • Support future deployment of local AI infrastructure for privacy and performance Core Architecture The system will be built around four primary layers: 1. Rules Engine * Deterministic business logic * Workflow orchestration * State management * Trigger and escalation logic * Audit tracking 2. AI Layer * Document analysis * Classification * Pattern detection * Summarization * Draft generation * Structured outputs 3. Local Processing Layer * OCR * Document parsing * Data extraction * Vector search * Local inference capabilities * Privacy-first processing 4. Human Review Layer * Quality assurance * Workflow approvals * Compliance review * Exception handling Initial Development Priorities Phase 1 • User authentication • Client record management • Document upload system • OCR and document extraction • Workflow engine • Rule-based status management • Review dashboard Phase 2 • AI-powered document analysis • Automated classification • Recommendation engine • Draft generation workflows • Response parsing Phase 3 • Local AI infrastructure • Vector database integration • Knowledge retrieval system • Multi-agent workflow orchestration • Advanced automation Desired Technical Experience Required • React / Next.js • Node.js, Python, or similar backend framework • PostgreSQL or equivalent relational database • REST APIs • Cloud infrastructure (AWS, Azure, or GCP) • Workflow automation systems • Document processing pipelines Preferred • OpenAI APIs • Anthropic APIs • Retrieval-Augmented Generation (RAG) • LangGraph, LangChain, or similar frameworks • Vector databases • OCR technologies • AI agent architectures • NVIDIA AI ecosystem • Local model deployment What We Are Looking For We are not looking for someone who simply builds forms and dashboards. We are looking for a builder who understands how to combine: • Rules engines • Artificial intelligence • Workflow automation • Human review systems • Scalable software architecture The ideal candidate enjoys solving complex business process problems and translating expert decision-making into software systems. Engagement Structure Open to: • Fractional CTO • Lead Architect • Senior Full-Stack Engineer • AI Systems Engineer • Development Agency • Long-term strategic technology partner To Apply Please provide: • Relevant project examples • Experience building workflow automation platforms • Experience with AI-powered applications • Technology stack recommendations • Estimated availability • Preferred engagement structure

**Job Description: Data Engineer** We are excited to announce an opening for an experienced Data Engineer to join our dynamic team in the United States. As a key player in our organization, you will be responsible for designing, developing, and implementing robust data pipelines that leverage Snowflake and Databricks technologies. In this role, you will collaborate closely with data scientists, analysts, and other stakeholders to ensure that our data infrastructure is optimized for performance, scalability, and reliability. The ideal candidate will possess a strong background in data engineering and cloud data platforms, demonstrating expertise in building and maintaining data solutions that support business intelligence and analytics initiatives. You should be well-versed in various ETL (Extract, Transform, Load) processes and possess a deep understanding of data modeling and data warehousing concepts. In addition to technical skills, we are looking for someone who has a passion for problem-solving and a keen ability to troubleshoot complex data issues. You will be expected to take the initiative in identifying areas for improvement within our data architecture and propose innovative solutions to enhance our data capabilities. This is a contract-to-hire position, providing a unique opportunity to immerse yourself in cutting-edge projects that have a significant impact on our organization. You will have the chance to work alongside a talented team of professionals who are dedicated to driving data-driven decision-making across the business. Key Responsibilities: - Design and implement data pipelines using Snowflake and Databricks to ensure efficient data flow and transformation. - Collaborate with cross-functional teams to gather requirements and translate them into scalable data solutions. - Monitor and optimize existing data processes to improve performance and reduce latency. - Develop and maintain comprehensive documentation for data architecture, pipelines, and processes. - Ensure data quality and integrity through rigorous testing and validation procedures. - Stay up-to-date with industry trends and emerging technologies in the data engineering space. Qualifications: - Bachelor’s degree in Computer Science, Information Technology, or a related field; advanced degrees are a plus. - Proven experience as a Data Engineer or in a similar role, with a strong focus on cloud-based data platforms. - Proficiency in data modeling, ETL processes, and data warehousing concepts. - Hands-on experience with Snowflake and Databricks; familiarity with other cloud services (AWS, Azure, GCP) is a bonus. - Strong programming skills in languages such as Python, SQL, or Scala. - Excellent analytical and problem-solving abilities, with a detail-oriented mindset. - Ability to work effectively in a fast-paced, collaborative environment. We offer a competitive compensation package and the opportunity to work on innovative projects that are shaping the future of our business. If you are a motivated and talented Data Engineer looking for a challenging and rewarding opportunity, we would love to hear from you. Join us in our mission to leverage data to drive insights and enhance decision-making across the organization.

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.

The Marketing Data & Insights Manager is responsible for supporting client marketing and distribution teams through data management, reporting, analysis, and actionable insights. This role serves as the primary owner of marketing performance data, ensuring accuracy, consistency, and strategic value across multiple platforms and reporting environments. Key Responsibilities Pull, access, and manage data across platforms including Qlik, Looker, Snowflake, Salesforce Marketing Cloud (SFMC), and HubSpot Clean, QA, and validate data to ensure reporting accuracy and integrity Build and maintain reporting models, dashboards, pivot tables, and recurring performance reports Analyze marketing and distribution performance data to uncover trends, opportunities, and actionable insights Synthesize findings before and after presentations to support strategic decision-making Partner closely with marketing and distribution teams to determine analytical needs and reporting priorities Deliver ad hoc analysis and custom reporting requests in a timely manner Support ongoing optimization of reporting processes, workflows, and scalability of data operations Act as a client-facing analytical partner, translating complex data into clear business recommendations Preferred Qualifications Experience working with BI and analytics platforms such as Qlik, Looker, and Snowflake Strong proficiency in Excel, pivot tables, and data modeling Familiarity with marketing automation and CRM platforms including SFMC and HubSpot Strong analytical thinking and problem-solving skills Excellent communication and collaboration abilities Ability to manage multiple priorities and respond quickly to active business requests Experience supporting marketing, distribution, or business intelligence teams Future-State Opportunity This role is ideal for someone who thrives in a fast-paced, data-driven environment and enjoys balancing hands-on analytics with cross-functional collaboration. As the organization scales, the role may evolve with additional support focused on data operations and reporting infrastructure, allowing greater focus on strategic insights and client partnership.

I have a production-ready React/TypeScript health record web application built with Lovable (AI app builder) that needs to be migrated to professional infrastructure I own before public launch. I also need Claude Code (Anthropic's AI coding CLI) set up so I can continue building features independently after migration without relying on Lovable. This is a one-time migration project with a clear scope and a complete data export already prepared. I need someone experienced, detail-oriented, and trustworthy — this is a health application handling sensitive patient data. What I already have: Vercel Pro account — ready to connect Supabase account — ready to create new project GitHub repository — connected and available Domain: fullycharted.app — DNS access available Complete bulk export ZIP from Lovable Cloud — all tables as CSV/JSON, all storage files, complete supabase/migrations/ folder 2 beta users currently — minimal data to migrate Mac computer for local development setup The application: React/TypeScript frontend with Vite and TailwindCSS Supabase backend — PostgreSQL, Row Level Security, Edge Functions, Storage buckets Supabase Auth for authentication 1,326 automated tests passing Currently hosted on Lovable Cloud fullycharted.app currently points to a separate landing page — needs to point to the full app after migration What I need done: Connect GitHub to my Vercel account and configure build settings for Vite/React and all environment variables Create new Supabase project in my account — run supabase db push using migrations folder, import all table data from CSV/JSON export, re-upload all storage files (lab documents, imaging, diagnostic studies), verify all Row Level Security policies working correctly Configure all environment variables — VITE_SUPABASE_URL, VITE_SUPABASE_PUBLISHABLE_KEY, VITE_ADMIN_EMAIL, and any others currently in Lovable DNS configuration — point fullycharted.app to Vercel, configure www redirect, verify SSL certificate Handle 2 beta user accounts — coordinate password reset timing before DNS cutover Full verification — app loads at fullycharted.app, login works, patient data intact, emergency view works without auth, file uploads work, admin route gated correctly, all 1,326 automated tests pass, RLS verified (no cross-account data access) Claude Code setup on my Mac — install Node.js, install Claude Code CLI, clone repository locally, configure local environment variables, verify app runs locally (npm run dev) and tests pass (npm test), walk me through one simple change so I understand the workflow Documentation and handoff — all environment variables documented, Vercel and Supabase configuration documented, local development workflow documented, GitHub push triggers Vercel deployment confirmed Security requirements: This is a health application. RLS policies must be verified after migration. Patients must only access their own data. Admin route gated to one specific email. Public emergency routes work without exposing other patient data. What I will provide: Access to my Vercel account Access to my Supabase account Complete bulk export ZIP GitHub repository access Domain registrar access for DNS Anthropic API key for Claude Code Quick responses throughout the project Success looks like: fullycharted.app loads the full application Beta users can reset password and log in with all data intact All 1,326 tests passing I own all infrastructure completely Claude Code installed, configured, working Complete documentation in my hands Follow-on work: I have a second application (MySynapse — homeschool platform) on the same stack needing the same migration in 1-2 months. Strong performance here leads to that second project directly. To apply please include: Examples of similar Lovable/managed platform to Vercel migrations Supabase RLS and migration experience Your approach to data integrity verification Confirmation you are comfortable with health app security requirements

Role Purpose The Fractional Chief Financial Officer (CFO) serves as a high-impact strategic financial advisor and client-facing executive for our small-to-mid-sized business clients. Managing multiple client engagements simultaneously, you will be responsible for guiding client CEOs through critical growth decisions, optimizing cash flow and liquidity, establishing tight internal financial controls, and overseeing accounting infrastructure. You will lead strategic financial conversations while utilizing our firm's standardized workflows and cloud ecosystem to deliver exceptional client outcomes. Responsibilities Strategic Financial Leadership: Serve as the primary strategic financial advisor to client CEOs and owners. Deliver expert guidance on liquidity strategies, margin optimization, cost structures, and growth forecasting across various business stages. Financial Oversight & Compliance: Ensure the absolute accuracy, completeness, and timeliness of client financial reporting. Oversee disciplined month-end close processes and review the work product of Controllers to ensure GAAP alignment and audit readiness. Proactively identify and remediate compliance and tax risks. Systems & Process Architecture: Review, optimize, and standardize financial workflows within client QuickBooks Online (QBO) environments and the firm's central platform, Canopy. Structure charts of accounts, build efficient bank feed rules, and implement automation to drive workflow efficiency. Performance Analytics & Cash Modeling: Build and deploy dynamic 13-week rolling cash flow models and forward-looking financial forecasting strategies. Design and monitor customized KPI frameworks and financial dashboards that uncover margin leakage and shape client strategy. Client Relationship Management: Build deep executive trust rapidly in a remote setting. Translate dense financial data into highly clear, actionable advice for non-financial founders and boards. Firm Workflow Compliance: Operate efficiently within Carter & Company’s standardized internal systems. Manage all client milestones, task assignments, and timeline statuses transparently within Canopy.

I am seeking an experienced U.S. registered Patent Agent or Patent Attorney to prepare and file a U.S. non-provisional patent application for a complex AI/software invention. Project Overview The invention relates to AI infrastructure, including: AI control planes Runtime policy enforcement Pre-execution authorization Agent orchestration Distributed AI systems AI governance and execution control I have three related U.S. provisional patent applications totaling approximately 60 pages. One is the primary provisional, while the other two expand and supplement the disclosure. The goal is to synthesize these into a single, well-organized, professionally drafted U.S. non-provisional application. Scope of Work Review all three provisional applications Prepare a comprehensive U.S. non-provisional specification Draft broad independent claims and meaningful dependent claims Improve organization, terminology, and technical clarity where appropriate Ensure the specification provides strong written-description support for future claim amendments and continuation applications Prepare any required drawings. File the completed application electronically with the USPTO Required Qualifications Please include: Your USPTO registration number (Patent Agent or Patent Attorney). Approximately how many U.S. AI/software patent applications you have personally drafted. Your experience with: Artificial Intelligence Generative AI / LLMs AI agents Cloud computing Distributed systems Security architectures Policy enforcement / orchestration Examples (publication numbers or patent numbers) of U.S. AI/software patent applications you have personally drafted. Whether you will personally perform the work. Your estimated turnaround time. Your fixed fee for preparing and filing the complete non-provisional application (USPTO government filing fees may be listed separately). Timeline The priority deadline is August 10th, so I need someone who can complete the application, allow time for my review, and file it before the deadline. I am looking for quality over speed and would prefer someone with significant experience drafting AI/software patent applications rather than general patent work.