Technical Writer / Embedded Systems AI Engineer – Patent-to-Architecture Dossier

I am a solo inventor and systems architect seeking a high-level Technical Writer or Embedded Systems Engineer with deep expertise in Edge AI, Neural Processing Units (NPUs), and biometric digital signal processing (DSP).I have recently filed a comprehensive, 16-page provisional utility patent application (AS-2026-PROV-001) with 21 highly detailed system architectural figures. The platform focuses on hardware-agnostic, edge-native, multi-species emotional-AI and clinical biometric tracking using micro-ballistocardiography (BCG), 200Hz kinematic tracking, and INT8 quantization loops on ARM Cortex micro-architectures.I am currently managing active, inbound M&A evaluation cycles with tier-one global veterinary diagnostic conglomerates and market-leading consumer pet wearable brands. To move to the deep legal due diligence phase under NDA, I need to package the patent text and drawings into a formal, corporate-grade "Technical Integration Guide & Developer SDK Specification Blueprint."Your Core Responsibilities:Data Taxonomy Blueprints: Translate my patent parameters (Feline Purr-State Disambiguation at 20–45 Hz, 200 Hz micro-gesture kinematic tracking vectors, Equine Limb-Flight Asymmetry Index, etc.) into a highly structured mathematical metadata spreadsheet / data dictionary layout (Excel format) for corporate data science review.Algorithmic Flowcharts & Logic Outlines: Convert my 21 patent figures (specifically the raw signal capture, signal conditioning, adaptive noise filtering, and 7-Dimensional Emotion Vector generation pipeline) into clean, visually polished professional engineering flowcharts using Draw.io, Lucidchart, or Visio.INT8 Quantization Specifications: Author an authoritative, standard technical document defining the local edge inference rules, model compression parameters, and scheduler priorities that guarantee our sub-300ms local execution benchmark on generic NPU configurations.Requirements:Proven experience writing technical dossiers, SDK specifications, hardware reference design briefs, or developer documentation for enterprise clients.Strong background in machine learning quantization (INT8/FP16), edge-native model scheduling, embedded firmware architectures (ARM Cortex), and multi-sensor data fusion.Familiarity with clinical biometric telemetry (HRV epoch analysis, cardiac wave decoupling, respiratory cadence) is highly preferred.Must sign an absolute, ironclad Non-Disclosure Agreement (NDA) and IP Assignment verification prior to accessing the provisional patent specification.Project Type: One-time project with a potential hourly retainer to serve as an on-call "Technical Firmware Advisor" during upcoming corporate due diligence video calls.