Vishal T.

Security Engineer

Lucknow, Uttar Pradesh, India2 yrs 10 mos experience

Highly Stable

Key Highlights

Expert in Vulnerability Assessment and Penetration Testing.
Proven track record in Fraud Detection and Incident Response.
Experience with major companies through bug bounty programs.

Stackforce AI infers this person is a Security Engineer specializing in Fintech and Cybersecurity.

Contact

Skills

Core Skills

Cloud SecuritySecurity Information And Event Management (siem)Vulnerability Assessment And Penetration Testing (vapt)

Other Skills

Security InformationEvent Management (SIEM)VAPTPython (Programming Language)Amazon Web Services (AWS)JavaDatabase Management System (DBMS)Anomaly DetectionManaged Detection and Response (MDR)FirewallsInformation SecurityFedRAMPExploit DevFraud DetectionIncident Response

About

I'm a Security Engineer at Confluent, focused on the detection and response team. I am skilled in various areas such as Vulnerability Assessment and Penetration Testing (VAPT), constructing Security Operations Center (SOC) Pipelines, writing detection rules, detecting Fraud, and utilizing Machine Learning (ML) techniques. I have previously worked as an SDE at Safe Security, as well as a Security Engineer at Dhani and Pingsafe. Additionally, I hold a bachelor's degree in cybersecurity. I have discovered numerous bugs, including identifying vulnerabilities through bug bounties at major companies such as Amazon, Cred, Flipkart, and Uber.

Experience

2 yrs 10 mos

Total Experience

2 yrs 10 mos

Average Tenure

2 yrs 10 mos

Current Experience

Confluent

2 roles

Senior Security Engineer

Promoted

Feb 2026 – Present · 3 mos

Detection And Response team

Security Engineer

Jul 2023 – Mar 2026 · 2 yrs 8 mos

Detection Engineering

Cloud SecuritySecurity InformationEvent Management (SIEM)Security Information and Event Management (SIEM)

Pingsafe

Security Engineer Intern

Feb 2023 – Jul 2023 · 5 mos · Bengaluru, Karnataka, India · Hybrid

VAPTPython (Programming Language)Vulnerability Assessment and Penetration Testing (VAPT)

Dhani

Security Intern

Dec 2021 – May 2022 · 5 mos

Implemented & automated a near real-time in-house SIEM alert & notification system for Fraud Detection using the ELK stack.Formulated a comprehensive information system in New Relic using AWS S3 access logs, AWS Cloud Trail logs, and
ELB logs and Improved the granular visibility of internal infrastructure by 30% through integrated dashboards.
Reduced the incident response time by 20% by instituting smart alert correlation rules and improved metrics.
Assessed security posture of FinTech's mission-critical web apps & payment gateway APIs used by 335M consumers.Improving Security of Critical Infrastructure like UPI, and Wallet Services by threat visibility through data gathering & enrichment and reporting to the product team.
Conducted Red teaming on Internal Infrastructure to identify assets, collect human intelligence, and assess vulnerabilities.
Managed the following security applications: ELK, Splunk, F5,New Relic, Burp, Owasp Threat Dragon, Salt Security, Data theorem.

VAPTAmazon Web Services (AWS)Vulnerability Assessment and Penetration Testing (VAPT)

Bugcrowd

Bug Bounty Hunter

Jun 2021 – Present · 4 yrs 11 mos

Started Active and passive reconnaissance on the clients.
Tested for CVEs and owasp Top-10 based vulnerabilities.

Safe security

Software Engineer Intern

Jul 2020 – Sep 2020 · 2 mos · Delhi, India

Implemented automated unit testing for Website and API stability using TestCafe scripts.
Added multiple features in the DevSecops cycle including telemetry and Grafana pipelines.
Utilized Atlassian toolset for workflow (i.e, Bitbucket for version control, JIRA for Agile/Scrum development process).
Improved SEO of the existing website by removing Junk JS using Google Lighthouse with a 52% increase in traffic.
Worked with development teams to establish security requirements early in the SDLC and contributed to security subject matter expertise during the development of new projects and releases.
Performed VAPT with a Black/Grey Box perspective on multiple instances of SAFE Enterprise (Inhouse product).

JavaDatabase Management System (DBMS)