Project Description: I am looking for a licensed Professional Engineer in Texas to review and PE stamp a set of mechanical/plumbing drawings for a solar panel production line. TIEMLINE IS ONLY A FEW DAYS The drawing package includes: 1. HVAC Drawing Set The HVAC set includes HVAC symbols, abbreviations, general notes, air systems notes, ductwork requirements, code notes, and related mechanical/HVAC sheets for the project. 2. Plumbing / Compressed Air / Nitrogen Drawing Set The plumbing set includes compressed air and nitrogen piping drawings, equipment connection details, riser diagrams, and plumbing specifications. The scope includes providing compressed air and nitrogen supply to the production line equipment. Required Services: The selected engineer will be responsible for: Reviewing the HVAC and plumbing/compressed air/nitrogen drawing packages for code compliance, completeness, and technical accuracy. Providing comments or redlines if revisions are required before stamping. Reviewing the final revised drawings after comments are addressed. Providing a Texas PE stamp/seal and signature suitable for permit submission, if the drawings meet applicable requirements. Confirming whether any additional calculations, specifications, equipment data sheets, or code-compliance documentation are required before stamping. Project Details: Jurisdiction: Houston, Texas Code references shown in the drawings include Houston/Texas building, mechanical, plumbing, and energy code requirements. The plumbing notes state that plumbing work shall meet Houston Texas Building Code 2021 requirements with applicable amendments and Houston mechanical/plumbing codes. Must Have Qualifications: Texas licensed Professional Engineer in Mechanical Engineering or related discipline. Experience with commercial/industrial HVAC and plumbing permit drawings. Experience with compressed air and nitrogen distribution systems is preferred. Familiarity with Houston permitting requirements is preferred.

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 audio engineer to master live audio recordings for our podcast. The ideal candidate will have experience in audio post-production and sound mixing, ensuring high-quality output. Responsibilities include enhancing audio clarity, adjusting levels, and removing background noise. The role requires attention to detail and the ability to work efficiently under deadlines.

Senior Full-Stack Engineer — Canvas Medical EHR Lead Contract · Monthly retainer · Remote (US-based) · Ongoing -= DONT APPLY IF =- Not physically present in USA you're an AGENCY. I need 1 person. no middleman Generalists and "I can pick up Rails" applicants will not be a fit. If we can't see your projects on github dating back years (temp) you're not serious. Anyone who's thinking of making someone else do the work, go away. No time for games. Summary I'm hiring a senior full-stack engineer to lead the build-out and launch of a longevity-medicine platform: B2B formulary ordering for licensed providers, plus a patient prescription and reorder portal, built on Canvas Medical (a programmable, ONC-certified EHR). The design and product logic are set. I need someone who configures the EHR, builds the integrations, finishes the frontend, ships it, and keeps it running. This is not a learn-on-the-job seat. It is a finisher seat. What you'll own Configure and extend Canvas Medical to the prescription, formulary, and patient-portal workflow by writing Python plugins on the Canvas SDK Integrate the platform over the Canvas FHIR (R4) API, including provider registration, ordering, billing, and the patient portal Finish and ship the product frontend and bind it to the API Handle deployment, uptime, and ongoing monthly support and iteration after launch Stack Python (Canvas SDK plugins run inside the EHR) Canvas FHIR R4 API (FastAPI-based); Django ORM for data access Frontend: finishing an existing web frontend and wiring it to the API Healthcare data handling under HIPAA Must have Senior-level Python. Non-negotiable. The SDK is Python. Hands-on FHIR / healthcare data integration. This is the differentiator and the first thing I screen for. Experience with Canvas Medical or a comparable EHR or health-data platform (Medplum, Redox, Health Gorilla, or similar) HIPAA and PHI handling experience. This is a live EHR with patient data, not a storefront. Frontend competence to finish a web app and connect it to a REST/FHIR API A track record of shipping. Links to live work, not a list of frameworks. Strong async communication and reliable follow-through Nice to have Direct Canvas SDK plugin experience (Events, Data, Effects) Prior digital-health, telehealth, or pharmacy-tech product work Experience taking a stalled or unfinished product across the finish line Engagement Contract, paid on a monthly retainer Remote, US-based for this lead role Long-term: build phase first, then ongoing support. I'm looking for a durable relationship, not a one-off. To apply In your reply, include: Links to things you've shipped, FHIR and EHR work prioritized One example of a project you took from stuck to done, and what you did? Whats your favorite car? Your monthly availability in hours? Thanks

DESCRIPTION We're a small applied AI lab running a live, production-track AI product for an institutional financial services client. The work is technical, fast-moving, and high-stakes. We need to fill a critical infrastructure role with someone senior, collaborative, and genuinely excited about building in the current AI tooling ecosystem. THE ROLE You'll own the data infrastructure layer for an AI-powered intelligence platform built on the Microsoft Azure ecosystem. This is a hands-on engineering position — you're responsible for designing, building, and maintaining the pipelines that feed a live AI scoring engine. The environment is agentic. Data moves from 15+ heterogeneous external sources (APIs, PDFs, regulatory filings, web) through Bronze, Silver, and Gold layers into a scoring and inference system. The hard problems are extraction quality, schema normalization, pipeline reliability, and getting the right data to the scoring engine in the right shape. You'll work directly with the technical lead and engagement lead. No layers. Fast decisions. WHAT YOU'LL OWN + Data pipeline architecture and delivery across Bronze (raw ingestion), Silver (normalization, NLP extraction, entity resolution), and Gold (unified output, scoring-ready) layers + Microsoft Fabric lakehouse implementation — OneLake, Data Pipelines, Dataflows Gen2, Warehouse, and downstream system integration + Microsoft Foundry (formerly Azure AI Studio) — agent orchestration, prompt pipelines, and AI model integration within a secure Azure tenancy + Azure Data Factory orchestration for structured source ingestion +Salesforce integration via Snowflake native connector — field mapping, custom object schemas, sync reliability Extraction pipelines for unstructured sources (PDFs, regulatory filings, web content), coordinating with Azure OpenAI-based extraction agents +Data governance and security posture — all data stays within the client's Azure tenancy; data residency is non-negotiable REQUIRED: Technical Skills + Microsoft Fabric — production experience, not sandbox. You should be able to speak to Lakehouse vs. Warehouse tradeoffs, OneLake architecture, and real pipeline implementation. Microsoft Foundry / Azure AI Studio — hands-on with agent deployments, prompt flow, model endpoints, and Azure OpenAI integration within an enterprise Azure tenancy + Azure Data Factory — pipeline authoring, trigger management, connector configuration, monitoring +Snowflake — Gold layer data warehousing, schema design, query optimization, native connector usage (specifically Salesforce) + Python — data engineering contexts: pandas, PySpark, API clients, extraction scripts + SQL — complex joins, window functions, schema design; SQL Server preferred + Azure Blob Storage / ADLS Gen2 — Parquet/Delta format, access control, lifecycle management REQUIRED: AI-Augmented Development This is a hard requirement. You should be actively using AI coding tools to multiply your output — fluency with Claude Code, Cursor, and OpenAI Codex as part of your daily development workflow. If these aren't already in your stack, this isn't the right fit. We hire for multiplied output, not raw hours. REQUIRED: Demonstrable Work We don't evaluate resumes alone. Bring something — a GitHub repo, a deployed pipeline, an architecture document you authored, a case study with real numbers. We should be able to look at your work and understand what you built, what decisions you made, and why. Work under NDA is fine if you can describe it in enough detail to convey complexity and ownership. ATTITUDE & WORK STYLE Comfortable with Agile Scrum and its accompanying ceremonies. You raise issues early and help solve them. You communicate tradeoffs clearly without over-explaining. You're comfortable with evolving specs and don't need to win the architecture argument — just build the right thing within the approved stack. We're a small, senior team with low friction and direct communication. That's the environment; it works if you work with it. THE STACK The client environment has specific technology approvals. Production work runs on Azure OpenAI (client-hosted), Microsoft Fabric, Microsoft Foundry, Snowflake, Azure Data Factory, ADLS Gen2, Salesforce via Snowflake native connector, and SQL Server. LangChain, DeepSeek, and the external Claude API are not approved for this environment. NICE TO HAVES Experience with financial services or institutional investment data (SEC EDGAR, public pension filings, regulatory documents), familiarity with InvestorFlow or Salesforce Financial Services Cloud, unstructured document extraction at scale, or Azure Purview.

I am looking for an experienced mechanical/product design engineer to review and refine an existing CAD design for a compact consumer goods case with a pin hinge and magnetic closure. The design and internal layout are already complete. This is not a redesign. The current appearance, dimensions, and functionality should be preserved, with only minor changes made where needed for injection molding, assembly, durability, or tolerances. Scope includes: • Full injection-molding DFM review • Correcting draft, wall thickness, radii, clearances, alignment and tolerances • Cleaning up CAD geometry and dimensions • Confirming the intended contents still fit after all changes • Reviewing hinge-pin installation and methods for closing the hinge access points • Reviewing magnet cavity design, overmolding, adhesive, and retention options • Identifying undercuts, die-lock risks, required side actions, sink marks, warpage, ejection issues, and assembly concerns. • Delivering updated supplier-ready CAD and concise manufacturing notes (no 2D drawings necessary) Overall, this should be a relatively focused project. It will be divided into two milestones: 1. DFM review and manufacturability analysis with recommendations 2. Implementation of approved changes, followed by delivery of supplier-ready CAD files and manufacturing notes Deep injection-molding expertise is required; experience with molded cases, hinges, magnetic closures, and consumer products is preferred. Please include relevant examples of similar projects you have completed. A freelancer will be selected within the next five business days.

This is not just a CAD modeling project. I am looking for someone who can contribute ideas, improve the design, and help engineer the product from concept through a working prototype. I'm looking for an experienced mechanical/product designer to help develop a portable blueprint scanning rig for use during commercial site surveys. The device will hold an iPhone above large-format construction drawings (24"×36" and larger) to capture high-quality images for documentation. This is an early-stage prototype that may eventually become a commercial product. Design Goals The rig should: Fold into a compact carrying case. Set up in under one minute. Hold an iPhone securely over blueprints. Maintain the camera perfectly square to the drawing. Be lightweight but rigid. Use mostly off-the-shelf components. Be suitable for repeated field use. Materials Under Consideration I'm open to multiple design approaches including: 1/2" EMT conduit w/3D printed connections 2020 T-slot aluminum extrusion Combination of 3D printed and purchased components Desired Features Folding design (preferred over complete disassembly) Adjustable camera height Adjustable phone position MagSafe iPhone mount Integrated LED lighting Thumb-screw or Knob adjustments Lightweight Stable on folding tables Open side allowing blueprints to be flipped like a book Future accessory mounting options I am specifically looking for someone who can recommend the best overall solution rather than simply drawing what I specify. Deliverables Multiple concept sketches CAD assembly Fully parametric model STEP files STL files Engineering drawings Bill of Materials Hardware list with McMaster-Carr or Amazon part numbers Assembly instructions Experience Requested Please provide examples of projects involving: Folding mechanisms Camera equipment Aluminum extrusion EMT conduit 3D printing Consumer products Portable tools Mechanical assemblies Ideal Candidate I'm looking for someone who enjoys solving mechanical problems and is interested in helping create a unique product—not just producing CAD drawings. There will likely be multiple design iterations, and I'm looking for someone interested in a longer-term collaboration. The files attached are of what AI generated. This is to give youa rough idea. The support legs need to be on the long side 36" of the print so that when the sheets are stapled together they can be turned without obstruction.

𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄 We are looking for an experienced embedded firmware engineer to help diagnose and resolve stability, reliability, and performance issues in an existing wearable device platform. This is an established product with existing hardware and firmware. We are specifically looking for someone who excels at low-level firmware diagnostics, embedded troubleshooting, and system-level debugging in complex real-world devices. Our platform is a ruggedized wearable subsystem integrated into a custom Android-based device. The wearable hardware is built around Nordic Semiconductor nRF series MCUs and includes BLE connectivity, RTOS-based firmware, power management systems, and optical biometric sensing using PixArt sensor technology. Because this firmware operates as part of a larger Android ecosystem, experience with Android device integration, BLE communication with Android applications/services, and debugging interactions between embedded firmware and Android systems is highly valuable. Experience working with PixArt biometric/heart rate sensors or similar optical sensing systems will be weighted heavily in candidate selection. 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗱 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 Strong hands-on experience with: • Nordic Semiconductor nRF series MCUs • Embedded C/C++ • RTOS-based firmware systems • Bluetooth Low Energy (BLE) • Low-power embedded design • Real-time firmware diagnostics and troubleshooting • Sensor integration and debugging • JTAG/SWD debugging environments • Oscilloscope and logic analyzer usage • Firmware logging, tracing, and root-cause analysis 𝗛𝗶𝗴𝗵𝗹𝘆 𝗗𝗲𝘀𝗶𝗿𝗲𝗱 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 We are especially interested in candidates with direct experience in: • PixArt optical biometric sensors • Heart rate / SpO2 sensing systems • Wearable device firmware • Motion artifact mitigation • Sensor calibration and signal quality analysis • Battery-powered products • Android platform integration • Android BLE communication stacks • Android services/background communication • Debugging Android ↔ embedded device interactions • OTA firmware update systems • Long-runtime stability investigations 𝗖𝘂𝗿𝗿𝗲𝗻𝘁 𝗔𝗿𝗲𝗮𝘀 𝗼𝗳 𝗜𝗻𝘃𝗲𝘀𝘁𝗶𝗴𝗮𝘁𝗶𝗼𝗻 Examples of issues we are actively diagnosing include: • Intermittent firmware instability • Unexpected resets or watchdog events • BLE communication reliability issues • Android connectivity or synchronization problems • Power consumption anomalies • Sensor data inconsistencies • RTOS timing or synchronization issues • Edge-case failures after extended runtime • Biometric sensor reliability and signal quality concerns The ideal candidate is someone who enjoys difficult debugging challenges and can systematically isolate root causes in embedded systems with multiple interacting components across both firmware and Android layers. 𝗪𝗵𝗮𝘁 𝗪𝗲 𝗡𝗲𝗲𝗱 𝗙𝗿𝗼𝗺 𝗬𝗼𝘂 Please include the following in your proposal: • Your experience with Nordic nRF platforms • Which RTOS environments you have worked with • Your experience with PixArt sensors or optical biometric sensing systems • Your experience integrating embedded devices with Android platforms • Examples of difficult embedded firmware bugs you have diagnosed • Experience with wearable or battery-powered devices • Your preferred debugging toolchain and workflow • Your availability and timezone • Whether you are available for ongoing support after the initial diagnostic phase 𝗘𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗗𝗲𝘁𝗮𝗶𝗹𝘀 • Initial engagement focused on diagnostics and stabilization • Potential for long-term ongoing firmware work • Remote work is acceptable • NDA will be required • Strong English communication skills are important 𝗣𝗿𝗲𝗳𝗲𝗿𝗿𝗲𝗱 𝗔𝗱𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗦𝗸𝗶𝗹𝗹𝘀 • Nordic SoftDevice or Zephyr RTOS experience • Android native development experience • Embedded Linux familiarity • Manufacturing test/debug support • Medical or regulated device exposure • Experience working with ODM/OEM partners • Git-based collaborative development workflows 𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗡𝗼𝘁𝗲𝘀 This role is focused heavily on advanced troubleshooting and root-cause analysis. We are not looking for junior firmware developers or general software engineers. Please only apply if you have substantial hands-on embedded firmware debugging experience and are comfortable working directly with hardware, sensors, BLE communication layers, and Android-integrated embedded systems. Budget depends on demonstrated experience with Nordic, wearable systems, PixArt sensors, and embedded diagnostics.

Pattern Maker / Technical Designer Needed I have an existing men's apparel sample and need assistance preparing it for small-scale production. Budget TBD Scope of work: • Reverse engineer physical sample into digital pattern • Grade pattern into standard men's sizes • Create a simple production tech pack • Identify fabric specifications and recommend comparable materials • Produce one or more prototype samples (preferred) • Experience preparing garments for USA cut-and-sew manufacturing preferred Please provide: • Estimated cost • Estimated turnaround time • Whether you can produce prototype samples Physical sample can be shipped if required.

Overview We’re a software company that resells Microsoft licenses as part of our SaaS product and deploys workloads in Microsoft Azure. We need a specialist who can accurately model our per-user and per-deployment costs across both Azure infrastructure and Microsoft licensing so we understand exactly what each customer deployment costs us. What you’ll do • Build a clear, reusable cost model for a product deployment that combines Microsoft 365 licensing (e.g. E3/G3) with Azure Virtual Desktop (AVD) • Use the Azure Pricing Calculator to estimate infrastructure costs across different VM sizes and configurations (e.g. 8 GB vs 16 GB RAM, session host counts, storage, bandwidth) • Break down Microsoft licensing costs per user, including how E3/G3 and any add-ons stack up • Model how costs scale as we add users/seats, and identify the main cost drivers • Deliver the model in a spreadsheet we can adjust ourselves (change RAM, seat count, VM size, etc. and see the cost update) Required expertise • Hands-on experience with the Azure Pricing Calculator and real-world Azure cost estimation • Strong knowledge of Microsoft 365 / Azure licensing, including CSP/reseller licensing models • Experience with Azure Virtual Desktop sizing and cost (session hosts, VM SKUs, storage, FSLogix, etc.) • Ability to translate technical configs into a clean cost breakdown a non-engineer can follow Nice to have