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Security Engineer with 5+ years in VAPT, AI/ML Pentesting & IoT Security
A passionate Cybersecurity expert with over 4 years of experience in Vulnerability Assessment and Penetration Testing (VAPT) in Web, API, Mobile, Network and Hardware/IoT security testing. Skilled in SAST/DAST, DevSecOps, AI/ML pentesting and compliance frameworks (GDPR, HIPAA, NIST). Developed security automation tools like SSL-assist. Proficient in Python, Bash, PHP, and Embedded C for security automation and research. Passionate about cybersecurity innovation and AI-driven security solutions.
University of Mumbai
Masters in IT (Specialization in AI) · IT (Specialization in AI)
August 1, 2021 – June 30, 2023
University of Mumbai
Bachelors in IT · IT
August 1, 2017 – June 30, 2020
SA Technologies Pvt Ltd
Penetration Test Engineer
June 1, 2025 – Present
Bengaluru, Karnataka, India
Bulletproof Cybersecurity (Acquired by GRC Group)
Penetration tester
May 1, 2022 – March 1, 2025
London, England, United Kingdom
Net-square Solutions Pvt Ltd
Security Analyst
December 1, 2020 – May 1, 2022
Mumbai, Maharashtra, India
SSL-assist
June 1, 2026 – Present
Developed SSL-assist, a python-based automation tool to enhance SSL/TLS testing using the testssl utility. The tool features multithreaded scanning for IPs, subnets, hostnames, and URLs, with import capabilities for Nmap and Nessus files. It automates parsing of scan outputs into categorized vulnerability reports, supports error handling, resume capability and recovery, and provides interactive browser-based reviews. SSL assist streamlined large-scale vulnerability assessments, significantly improving efficiency and reducing manual effort for security teams.
View ProjectHigh-Performance Open Interest Spike Detection System
June 1, 2026 – Present
Engineered a real-time system for monitoring OI data of over 30,000 instruments concurrently using WebSockets for efficient data streaming and parallel processing. Implemented advanced algorithms to detect sudden OI spikes at specific strike prices (key support and resistance levels), leveraging high-speed data ingestion and structured storage for seamless analysis. Optimized for low-latency operations, enabling precise and actionable insights for trading strategies.
CERTIFIED APPSEC PRACTITIONER (CAP)
THE SECOPS GROUP
June 11, 2026 – Present
CERTIFIED AI/ML PENTESTER (C-AI/MLPEN)
THE SECOPS GROUP
June 11, 2026 – Present
CERTIFIED NETWORK SECURITY SPECIALIST
DEFENSITYONE
June 11, 2026 – Present
GENERATIVE AI FOR SOFTWARE DEVELOPMENT
IBM
June 11, 2026 – Present
RED TEAMING LLM APPLICATIONS
DEEPLEARNING.AI
June 11, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project experience, including personal projects like 'SSL-assist' and 'High-Performance Open Interest Spike Detection System', alongside professional roles, indicates a strong passion for technology and continuous learning. Their involvement in AI/ML pentesting and certifications in AI/ML and Generative AI suggest an innovative mindset and adaptability to emerging technologies, which would be a good cultural fit for forward-thinking security teams. The blend of offensive security (penetration testing) and defensive (hardening, compliance) skills shows a well-rounded security professional.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through the development of custom tools and automation scripts. Their experience in documenting findings and collaborating with developers indicates good communication and teamwork abilities. The focus on efficiency and automation suggests a proactive and results-oriented work attitude.