[ SYSTEM ONLINE ]

ASHUTOSH_KUMAR

Security Analyst — SOC Operations & Application Security

 

Ashutosh Kumar
01 · who_i_am

ABOUT ME

Ashutosh Kumar

Supervised, hands-on exposure to penetration testing on real systems sits alongside my day-to-day SOC work — backed by application-security research built for Tech Utsav, Tietoevry's biannual innovation challenge, covering the OWASP Top 10, an ML-based sensitive-data-detection engine, and a Python security-automation tool. I'm comfortable working across detection, investigation, and remediation, with a builder's habit of documenting root cause and fix for every finding.

With a B.Tech in Computer Science from CGC Landran and a diploma from the Centre for Bioinformatics, I've completed hands-on training through Udemy and PG-Technology, and put that training to work through Tech Utsav — most recently chaining 13 vulnerabilities across a self-built e-commerce app and shipping a Chrome extension that catches sensitive-data leaks with up to 98.5% precision and recall.

2+
yrs_soc_ops
13
vulns_fixed
98.5%
ml_precision
7
certs
02 · what_i_work_with

CORE SKILLS

security_operations

SOC Monitoring & TriageIncident ResponseThreat Detection SOP-Driven InvestigationAlert EscalationAudit & Compliance Support

security_tooling

SIEMEDREmail Security / Anti-PhishingTicketing & ITSM

application_and_web_security

OWASP Top 10SQL InjectionXSSCSRF IDORSSRFBroken Access ControlInsecure File Upload Vulnerability Assessment & Remediation

programming_and_automation

PythonFlaskFastAPISQL Regex-Based Detection RulesML (scikit-learn, TF-IDF, LogReg)Git / GitHub

additional

C++HTMLCSSJavaScript Chrome Extension DevWindows
03 · where_ive_worked

EXPERIENCE_

Sep 2024 – Present · India

Security Analyst — Tietoevry India Pvt Ltd

  • Monitor and triage security events and alerts on a continuous basis, following documented SOPs and runbooks to identify, investigate, and escalate potential threats.
  • Investigate flagged incidents using SIEM and endpoint detection tooling, correlating log data across sources to assess severity, scope, and likely root cause before escalation.
  • Review and action email-security alerts, coordinating with the wider security team on remediation of phishing and suspicious-message reports.
  • Log, track, and close incident tickets through ITSM/ticketing tooling, maintaining clear documentation to support audit and compliance reviews.
  • Gained supervised, hands-on exposure to penetration testing on live systems, assisting with vulnerability identification and write-ups alongside senior testers.
Aug 2024 – Sep 2024 · India

NOC Engineer — Tietoevry India Pvt Ltd

  • Completed initial onboarding as a NOC Engineer, monitoring network and device health alerts and following standard operating procedures to identify and escalate outages.
  • Logged and tracked incidents through ticketing tools, coordinating with site and infrastructure teams to ensure timely acknowledgement and resolution.
  • Built foundational alert-triage and escalation discipline that carried directly into the Security Analyst role that followed.
Feb 1 – May 30, 2023 · Punjab, India

Software Development Intern — Pgtech

  • Developed and maintained web application features using Node.js, React.js, Express.js, and MongoDB.
Mar – Jun 2022 · Mohali, India

Software Development Intern — Persistent

  • Learned and applied OOP concepts and JavaScript programming; built backend fundamentals with Node.js and MongoDB.
Feb 2022 – Aug 2024

Freelance Usability Tester — UserTesting.com

  • Complete paid usability and feedback tests evaluating websites and applications, providing structured, detailed feedback under platform confidentiality terms.
  • Completed 25+ tests to date, maintaining a consistent quality/completion record.
04 · what_ive_built_and_broken

TECH UTSAV PROJECTS

fruit-store-pentest/

Fruit-Store-Pentest

  • Designed and built a complete Flask e-commerce application, then independently introduced and exploited 13 real vulnerability instances spanning 10+ OWASP Top 10 categories — SQL injection, stored/reflected XSS, IDOR, CSRF, SSRF, broken access control, insecure file upload, and weak password hashing.
  • Chained a mass-assignment privilege-escalation flaw with an admin-only SSRF endpoint to demonstrate a full multi-step compromise path from a low-privilege account, mirroring a real-world attack chain.
  • Remediated every finding on a parallel patched branch and documented root cause, proof-of-concept, CWE classification, and fix for each vulnerability.
sensitive-data-guard/

Sensitive-Data-Guard

  • Built a Chrome extension and FastAPI backend that detects sensitive-data disclosure in real time across web forms and chat platforms (WhatsApp Web, LinkedIn messaging), using a hybrid rule-based and machine-learning pipeline.
  • Trained and iterated TF-IDF + Logistic Regression classifiers across 15 rounds of dataset and model refinement, reaching up to 98.5% precision / 98.5% recall on a locked regression-test set.
  • Integrated Google Safe Browsing and AbuseIPDB threat-intelligence APIs to assess site and IP reputation before flagging sensitive input.
noc-auto-responder/

NOC Auto-Responder

  • Built a Python automation tool that monitors a NOC mailbox over IMAP, parses device-down alerts, resolves the affected site's manager contacts and location, and enriches each incident with live weather data.
  • Integrated Google Gemini to draft professional incident notifications, with a guaranteed deterministic template fallback so a notification is never lost to an AI failure.