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From Automotive Operations to MERN Stack Development — My Journey Into Tech

👋 Hi, I'm Pawan — a Full Stack Developer with a passion for building efficient, scalable, and user-centric web applications using the MERN stack. Before entering the tech space, I began my career in the automotive industry, where I worked …

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👋 Hi, I'm Pawan — a Full Stack Developer with a passion for building efficient, scalable, and user-centric web applications using the MERN stack.



Before entering the tech space, I began my career in the automotive industry, where I worked as a Service Advisor and Accountant at Tata Motors. My daily workflow involved tools like Siebel CRM, Tally ERP, and SIFFY, which gave me hands-on experience with real-time enterprise software. It was during this time that I became deeply curious about how these systems function behind the scenes.



That curiosity sparked a transformation.









💻 My Tech Transition



I decided to upskill and immerse myself in the world of software development. I chose the MERN stack (MongoDB, Express.js, React.js, Node.js) for its powerful ecosystem and flexibility across full-stack projects. Through dedicated learning and internship experiences, I’ve contributed to projects across the full development lifecycle — from clean frontend interfaces to secure backend logic.









🧠 My Skills at a Glance



Frontend: React.js, HTML5, CSS3, Bootstrap, JavaScript


Backend: Node.js, Express.js


Database: MongoDB


Tools: Git, Figma, Postman









🎯 What Makes My Perspective Unique?



My background in business operations gives me a unique edge — I understand end-user pain points, real-world workflows, and how software should adapt to business needs. This perspective helps me build practical, impactful solutions that don’t just look good, but work intuitively for the user.









🚀 What’s Next?



I'm currently open to full-time Full Stack Developer roles where I can contribute to meaningful products, grow alongside great teams, and continue building real-world solutions that make a difference.






Let’s connect:


🔗 LinkedIn


💻 GitHub



Thanks for reading! If you're transitioning into tech from another field — I’d love to hear your story too. Let's build and grow together. 💬

1. Sofort-Triage & Abwehrmaßnahmen

SOC Incident Playbook: Vulnerability Remediation & Verification
Syntax validiert (0 Fehler)
title: Detect Exploitation - From Automotive Operations to MERN Stack Development — My Journey Into Tech
id: 38c1eb3b-1a86-4925-8334-415de8b0ee2b
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-27
logsource:
  category: network_connection
  product: any
detection:
  selection:
      CommandLine|contains:
        - 'exploit'
  condition: selection
falsepositives:
  - Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
  - attack.initial_access
Syntax validiert (0 Fehler)
rule CTI_Threat_Indicator {
    meta:
        author = "iShareStuff CTI Automated Detection Engine"
        date = "2026-09-27"
        description = "YARA Signature for "
    strings:
        $str = "From Automotive Operations to " ascii wide
    condition:
        any of them
}
Syntax validiert (0 Fehler)
index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("From Automotive Operations to MERN Stack")
| stats count earliest(_time) as first_seen latest(_time) as last_seen by src_ip, dest_ip, dest_host, signature
| eval first_seen=strftime(first_seen, "%Y-%m-%d %H:%M:%S"), last_seen=strftime(last_seen, "%Y-%m-%d %H:%M:%S")
| sort - count
Syntax validiert (0 Fehler)
message: "*From Automotive Operations to MERN Stack*"
Syntax validiert (0 Fehler)
CommonSecurityLog
| where Message has "From Automotive Operations to MERN Stack"
| summarize EventCount = count(), FirstSeen = min(TimeGenerated), LastSeen = max(TimeGenerated) by SourceIP, DestinationIP, DestinationPort, Activity
| extend DetectionRule = "iShareStuff-CTI-Compiled"
| sort by EventCount desc

2. Cyber Threat Intelligence & Forensik

CTI Threat Relationship Graph2 Knoten / 1 Relationen
CVE / Incident Software MITRE ATT&CK CWE Weakness IoC
🎯
MITRE ATT&CK Matrix Navigator 14 Taktiken
Reconnaissance
-
Resource Development
-
Initial Access
Execution
Persistence
-
Privilege Escalation
Defense Evasion
Credential Access
-
Discovery
-
Lateral Movement
-
Collection
-
Command and Control
Exfiltration
-
Impact
tsecurity.de Cognitive Threat RAG
Fokus-Vektor:

Analyse für identifizierte Bedrohung auf Basis von Live-CTI (ENISA EUVD): CVSS 0.0 · EPSS 0.0% · CISA KEV: nein. Handlungsableitung aus den verlinkten Hersteller-Quellen.

🛡️ Angriffsfläche & Exposure

Netzwerk/Remote-Zugriff ohne Vorauthentifizierung möglich.

⚡ Empfohlene Sofortmaßnahmen
  • 1. Perimeter-Inspektion: Relevante Portfreigaben und exponierte Endpunkte unverzüglich scannen.
  • 2. Patch-Applikation: Hersteller-Hotfix einspielen oder betroffene Daemons in isolierte DMZ-Segmente überführen.
  • 3. Telemetrie & EDR-Alerts: Prozessaufrufe und Child-Processes auf anomale Shell-Spawns überwachen.
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