Developer Lab // Sandbox Research

Current Experiments

Active prototyping pipelines and exploratory models research representing my continuous learning loops.

Current R&D / Sandbox Exploration

AI Agents

Active Prototyping

Exploring autonomous execution loops, multi-agent coordination frameworks, and dynamic planning capabilities.

Pipeline Progress80%
Telemetry Active0.80 Alpha Run

Healthcare AI

Validation Testing

Refining CNN radiological Grad-CAM saliency mapping and clinical decision-support interpretability metrics.

Pipeline Progress90%
Telemetry Active90% Saliency Map

Trustworthy AI

Foundational Research

Drafting semantic distance calculations and alignment scoring formulas to detect and mitigate model hallucinations.

Pipeline Progress45%
Telemetry Activer-Score Formula V1

System Design

Performance Profiling

Analyzing memory layouts and throughput benchmarks for high-concurrency asynchronous event queue brokers.

Pipeline Progress70%
Telemetry Active70% Load Cap

Human-AI Interaction

UX Drafting

Designing natural language command consoles, ambient workspace HUDs, and context-aware shortcut menus.

Pipeline Progress60%
Telemetry ActiveUser Trial Phase 2

System Operations // Telemetry

The Builder's Workshop

Live local models training telemetry, compilation terminals output, compile tickers, and primary coding language statistics.

Builder's Workshop Telemetry
Latest Shipped Build
SUCCESSFUL

EventSphere v2.1-stable

Optimized WebSocket check-in ticket ledger broker pipeline.

COMPILE LOGS // HASH: 7af99ce184ms AVG
>WebSocket connection gateway established.
>Benchmarking: sub-200ms transaction cycle.
>Memory allocations garbage collected.
Live Sandbox Run
TRAINING

Heimdall Anomaly Model

Random Forest parameter tuning for automated network log classification.

ML telemetry // loss: 0.0124epoch 480/500
Train Dataset Size:1.2M rows
F1-Score Precision:98.4%
Language Diagnostics
Python (AI / Core Models)45%
PyTorch, TensorRT, FastAPI
TypeScript / JS (API & UX)30%
Next.js, Node.js, WebSockets
SQL (Database Optimization)15%
PostgreSQL, Query Tuning
Java (Core Structures)10%
Algorithms, Data Processing
Live Compile Ticker
11:05
TRAIN
Initialized Heimdall RF training iteration
10:24
SUCCESS
Compilation success: EventSphere v2.1-stable
10:18
BUILD
Building EventSphere WebSocket connection gates...
09:42
PUSH
git push origin main (vitalguard-core)
09:15
BUILD
Run docker compose regression validation suite