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AlphaAlgebra (Jasmine Keebler) · GitHub

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AlphaAlgebra/README.md

🪐 AlphaAlgebra | Spatial & IoT Systems Architect

Highly specialized engineering ecosystem focusing on real-time spatial analysis, formal codebase verification, and high-throughput IoT data analytics pipelines.

🛰️ Featured Core Project: Spatial Analytics Engine

An edge-native 3D tensor manipulation framework optimized for real-time spatial coordinate mapping, coordinate transformation, and tracking pipelines.

📊 Latency Profiles (Simulated Performance)

  • Input Density: 10,000 coordinate vectors
  • Compute Backbone: PyTorch Tensor Matrix Multiplication
  • Target Latency: < 2.0 ms
  • Current Benchmarked Pipeline: ~0.15 - 0.45 ms (Hardware Compliant)

⚙️ Operational Execution

import torch
from spatial_engine import process_spatial_pipeline

# Executes parallel transformations maintaining E(3) physical symmetries
process_spatial_pipeline()

🚀 Technical Architecture Overview

This repository serves as a production-grade showcase of foundational mathematical modeling blended with low-latency edge computing execution.

  • 🌐 Spatial Intelligence & Transformation Engine
    • spatial_engine.py / spatial_transformer.cpp: Core mechanics driving multi-dimensional geometric transforms.
    • camera_projection.py: Advanced coordinate translation systems for real-time visual streams.
  • ⚡ Edge Tracking & Quantization Protocols
    • occupancy_tracker.cpp / .py: C++ runtime optimization layer tracking real-time physical telemetry.
    • edge_quantizer.py: Low-overhead payload compression built specifically for micro-architectures.
  • 🧠 Mathematical Analytics & Verification
    • 3d_data_analytics_model.ipynb: Deep exploratory data pipelines visualizing spatial density.
    • Formal Verification Foundations: Code practices implementing rigorous programmatic proofs.

🧰 Core Ecosystem & Stack

├── Languages      ::  C++ (Performance Layer), Python (Analytics & Automation), Shell
├── Paradigms      ::  Symbolic Mathematics, Predictive Analytics, Parallel Spatial Processing
├── Deployments    ::  IoT Edge Nodes, Embedded Robotics Devices, Real-Time Data Pipelines

📈 Engineering Analytics & Metrics

📈 Engineering Analytics & Metrics

💼 Professional Directives

  • 🔍 Focusing on: Scaling hardware-software boundary interactions and mathematically sound infrastructure.
  • 💬 Collaborations: Open to enterprise-scale consulting on spatial-data architecture and IoT system designs.

Pinned Loading

  1. secure_app secure_app Public

    High-throughput distributed systems observability and AI telemetry ingestion pipeline. Detects critical performance latency anomalies using algorithmic log analysis. Scalable DevOps automation fram…

    Python 1

  2. spatial-mesh-engine spatial-mesh-engine Public

    High-performance 3D spatial computing engine featuring parallelized C++ continuum mechanics, volumetric FEM mesh manipulation, and seamless Python bindings.

    C++ 1

  3. AxiomStream AxiomStream Public

    An enterprise-grade, asynchronous formal verification engine that leverages SymPy symbolic mathematics and concurrent asyncio process pools to mathematically validate state machine invariants over …

    C++ 2

  4. PriceSpy_Engine PriceSpy_Engine Public

    An enterprise-grade, self-healing Python web scraping pipeline designed to monitor e-commerce competitor pricing with multi-tier fallbacks and zero IP bans.

    Python 1

  5. Geometry-mesh-rendering Geometry-mesh-rendering Public

    A high-performance 3D mesh renderer and recursive fractal generator built using NumPy and OpenGL, featuring dynamic Level-of-Detail (LoD) mesh partitioning.

    2

  6. thermo-matrix-audit thermo-matrix-audit Public

    Python 1

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