_{Jasmine Keebler Telephoto | Shot on Nikon D810 @ 1000mm}

Specialization: Developing abstract algebraic expressions into real-time 3D spatial analytics and telemetry.

Academic Foundation:

• B.S. Data Analysis & Administration | AI Engineering Matero Pro Scholarship
• A.A. Criminal Justice | Foundation in Ethical Systems & Forensic Logic

I construct bulletproof data machines that are both visible and verified to function in order to address real-world problems so that everyone can comprehend the who, what, where, and how.

I achieve this through:

• Formal Logic Validation:
• Zero-Variance Logic:
• Low-Latency Visualization:

• Mission: Real-time 3D mesh rendering engine for industrial solar telemetry.
• Architecture: Python-driven ingestion layer with a Three.js/WebGL spatial frontend.
• Impact: High-fidelity 3D analysis of IoT voltage metrics for proactive system health auditing.
• Execute Live Demo

• Mission: High-performance symbolic math engine for automated reasoning systems.
• Architecture: Formal algebraic verification of transcendental functions using SymPy and mpmath logic.
• Rigor: 10/10 Gold Standard Verification via GitHub Actions CI/CD pipelines.

• Logic & Computation: Python (Advanced Symbolic Computation), JavaScript (Spatial WebGL/3D), Formal Logic Verification.
• Systems & DevOps: CI/CD Automation, Linux System Engineering (Crontab/Bash), Scalable IoT Ingestion.
• Data Strategy: High-frequency telemetry tracking, real-time health/audit analytics, formal algebraic proofing.

I am currently optimizing symbolic engines for edge-case transcendental derivation within isolated sandboxes. In my architecture, precision is the baseline; scalability is the objective.

Collaborations: Formal Methods, IoT Scalability, Symbolic Mathematics.