SYSTEM.INIT

SENTINEL AUTOMATION

> MISSION STATEMENT

I ARCHITECT UNBLOCKABLE
DATA MINING ENGINES.

Standard bots fail. I build "Stealth-First" automation pipelines designed to penetrate Level 4 Cloudflare protection, bypass Akamai Turnstile, and harvest data from the web's most hostile environments.

🛡️
0.1%
Block Rate
⛏️
60M+
Pages Mined
⚡
99.9%
Uptime
🚫 BOT DETECTED
✓
✓ BYPASS SUCCESSFUL
METHOD: Bezier Curve
DETECTION: Evaded
def inject_neural_mouse_move(start_x, start_y, end_x, end_y):
"""
Generates a non-linear, heuristic path using
cubic Bezier control points to defeat linear detection.
"""
control_point_1 = (start_x + random.randint(-50, 50), start_y)
control_point_2 = (end_x, end_y + random.randint(-50, 50))
path = calculate_bezier_path(start, control_point_1, control_point_2, end)
> CORE CAPABILITIES

HARD SKILLS // TECHNICAL ARSENAL

01 // DEFENSE EVASION

Biometric Spoofing

Custom "Blindfire" keyboard injection and Bezier curve mouse movements that mimic human neurological micro-jitters to bypass anti-bot heuristics.

TECH STACK:
Selenium-StealthCDP
02 // SURGICAL EXTRACTION

Shadow DOM Traversal

Tunneling through complex #shadow-root and iframe layers using custom JavaScript bridges where standard XPath selectors fail.

TECH STACK:
JS InjectionRegex
03 // INFRASTRUCTURE

Self-Healing Pools

Aggressive multiprocessing with worker recycling (maxtasksperchild=1) to prevent RAM creep during multi-week extraction jobs.

TECH STACK:
DockerRedisPython
> SYSTEM ARCHITECTURE

THE BYPASS PROTOCOL // TECHNICAL FLOW

Whiteboard-style visualization of the complete extraction pipeline

STEALTH ENGINE(Python/CDP)Neurological Input Injector(Simulates Human Tab+Space)Header Rotator(Spoofs User-Agent/TLS)CDP Bridge(Direct Chrome Protocol)CLOUDFLARELEVEL 4(Turnstile)DOM STRUCTURE(Microcenter.com)Main Document (#root)Iframe Layer#shadow-root (open)TARGET DATA(data-price)STRUCTURED DATA(JSON/CSV)Blindfire Keyboard Protocol(Bypasses Captcha)JS Injection Tunnel(executes inside Shadow DOM)Sanitized Output
⚡ PERFORMANCE METRICS
• Block Rate: < 0.1%
• Extraction Depth: Level 3 Shadow DOM
• Uptime: 99.9%
> CASE STUDIES

THE PROOF // MISSION ARCHIVES

Classified Operations. Real Results.

PROJECT ALPHA:

"MICROCENTER CLOUD-PIERCER"

Microcenter Logo
TARGET: Microcenter (Cloudflare Level 4 Protection)
▸ THE CHALLENGE

Cloudflare Level 4 protection blocked all standard automation tools and required constant human verification, preventing real-time price monitoring context.

▸ THE ARCHITECTURE
1. Cloudflare Bypass:

Built intelligent Python automation that bypasses security checks and extracts product data without detection using specialized headers and TLS fingerprinting.

2. Zero Downtime:

System ran for 8+ months without manual intervention, maintaining a persistent session through rotating residential proxies.

▸ THE OUTCOME

Replaced 3 full-time employees, saving $180K annually in labor costs while providing 24/7 competitor tracking.

MC_CRACKER_LOG.mp4
PROJECT BRAVO:

"AMAZON DATA-ENGINE"

Amazon Logo
TARGET: Amazon (Biometric & Behavioral Defense)
▸ THE CHALLENGE

Amazon's anti-bot system blocked traditional scrapers within minutes, preventing the collection of massive datasets needed for AI training.

▸ THE ARCHITECTURE
1. Undetectable Engine:

Built an undetectable Python scraping engine using behavioral mimicry and auto-captcha bypass to ensure zero downtime.

2. Docker Pipeline:

Automated Docker pipeline delivers structured JSON/CSV datasets directly to Airtable for immediate ML ingestion.

▸ THE OUTCOME

Client launched price intelligence dashboard 6 weeks ahead of schedule. Saved $40K in manual data collection costs.

PROJECT CHARLIE:

"THE 60M SCALE ENGINE"

Project Logo
TARGET: High-Throughput ML Dataset Creation
▸ THE CHALLENGE

Processing 60 million pages caused "RAM Creep," killing standard Python scripts after a few hours.

▸ THE ARCHITECTURE
1. Worker Recycling:

Implemented aggressive multiprocessing that "kills and recycles" workers after every N tasks to purge memory leaks.

2. Lazy Loading:

Used imap_unordered to stream data like a conveyor belt, preventing parent-process memory bloat.

▸ THE OUTCOME

A fault-tolerant pipeline capable of running for weeks without manual oversight.

PROJECT DELTA:

"PROJECT ARBITRAGE-X"

LIVE SYSTEM
TARGET: E-commerce Arbitrage & Price Monitoring
▸ THE CHALLENGE

Client spent 4 hours/day manually searching multiple e-commerce sites for resale opportunities, constantly missing time-sensitive deals.

▸ THE ARCHITECTURE
1. Stealth Browsing:

Engineered Python scraping bot using Selenium-Stealth to mimic user behavior and evade anti-bot detection filters.

2. Zero-Latency Alerts:

System filters 50K+ products daily and sends Instant Telegram Notifications when price discrepancies > 40% are detected.

▸ THE OUTCOME

Reduced manual work to Zero. Client secures inventory minutes after listing, before competitors even see it.

BOT_VIEW_LOG_v2.4.mp4
PROJECT EPSILON:

"PROJECT GHOST-PROTOCOL"

UNDETECTED
TARGET: High-Friction Form Automation & 2FA Bypass
▸ THE CHALLENGE

Client needed to automate repetitive tasks on a platform with aggressive anti-bot security (Cloudflare + Behavior Analysis) that instantly banned standard Selenium scripts.

▸ THE ARCHITECTURE
1. CDP Injection:

Bypassed high-level WebDriver detection by injecting low-level Chrome DevTools Protocol commands to dispatch mouse events directly to the browser kernel.

2. Bio-Mimicry Algorithms:

Implemented Geometric Hit-Testing to ensure 100% click accuracy on complex UI elements, mimicking human micro-jitters.

▸ THE OUTCOME

6 Months of continuous operation with Zero Detection Incidents. Reduced 15-second manual tasks to instant execution.

GHOST_SESSION_REC.mp4
●SYSTEM STATUS: OPERATIONAL
▸SECURITY LEVEL: MAXIMUM