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Lakshmeesh RLR
Open to opportunities

Lakshmeesh R

@lakshmeeshr

Aspiring Cybersecurity Analyst focused on SOC detection, tuning, and incident response.

India
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What I'm looking for

I’m looking for an opportunity to strengthen threat detection and incident response—building and tuning SOC alerts, working with SIEM/log pipelines, and collaborating to reduce false positives while continuously improving MTTD and security outcomes.

I’m a Cybersecurity Analyst aspirant with hands-on SOC simulation experience, building detections and improving alert quality using SIEM and network/security monitoring tools. I focus on log-based threat detection, alert tuning, and incident workflows that strengthen an organization’s security posture.

In my SOC simulation work, I designed and deployed a full-scale setup using Zeek, Wazuh, and ELK Stack, configured Filebeat ingestion for HTTP/DNS/SSL logs (~10K/day), and developed 15+ correlation rules mapped to MITRE ATT&CK techniques. I reduced false positives by 35%, created incident response playbooks and real-time dashboards, and improved mean time to detect (MTTD) by 25%.

I also bring application and assessment experience: I supported web application security testing targeting OWASP Top 10 vulnerabilities and documented findings with severity prioritization and CVSS scoring. Alongside security work, I completed an AI/Data Quality Analyst internship where I analyzed 1M+ records, improved dataset reliability by ~25%, and reduced manual validation time by 30% through automated scripts.

Experience

Work history, roles, and key accomplishments

EL

Cybersecurity Intern

Elevate Labs

Nov 2025 - Dec 2025 (1 month)

Supported web application security testing targeting OWASP Top 10 issues, including authentication flaws and injection risks. Reviewed security headers and configuration settings, evaluated HTTP responses for attack vectors, and contributed to severity-prioritized vulnerability reports with remediation guidance.

RT

AI Data Quality Analyst Intern

Rooman Technologies

Sep 2024 - Feb 2025 (5 months)

Analyzed and validated 1M+ structured and unstructured data records to ensure consistency and accuracy across analytics workflows. Used SQL and AI-assisted tools to detect anomalies and integrity issues, and built automated validation scripts that reduced manual verification time by 30% while improving dataset reliability by ~25%.

Education

Degrees, certifications, and relevant coursework

DD

Don Bosco Institute of Technology (DBIT)

Bachelor of Engineering, Computer Science and Engineering

2021 - 2025

Earned a Bachelor of Engineering in Computer Science and Engineering, with coursework covering computer networks, operating systems, database management systems, and cybersecurity fundamentals.

Tech stack

Software and tools used professionally

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