Santhosh Moolya
@santhoshmoolya
Software Engineer Intern focused on cybersecurity automation, anomaly detection, and secure, scalable backend systems.
What I'm looking for
I’m a Software Engineer Intern with a strong foundation in software development, programming, and cybersecurity principles. I enjoy turning complex security workflows into dependable automation—especially when it improves compliance and incident response accuracy.
At Wrixte Infosec Private Limited (Oct 2024–Aug 2025), I designed and deployed a Firewall Auditor System using FastAPI and Python to automate CIS benchmark validation across Fortigate and Palo Alto firewalls. I implemented detection for shadow, duplicate, and over-permissive rules, reducing manual review effort by 40% and strengthening compliance accuracy; I also built secure file upload and parsing workflows (JSON/XML), and developed UEBA anomaly detection modules in the company SIEM using behavioral baselining of login activity, privilege escalations, and data exfiltration attempts. I further conducted threat analysis and anomaly detection with OpenSearch analytics to improve visibility into suspicious patterns and support faster, more accurate incident response.
Outside my internship, I built a cross-platform behavioral monitoring tool with encrypted logging and event-driven screenshot capture, and developed a lightweight EDR tool supporting process, file, and network monitoring with both rule-based and machine learning detection (including Isolation Forest). I’m currently advancing my skills through an M.Tech in Computer Science and Information Security at Manipal Institute of Technology (MAHE), where I focus on practical, secure systems that deliver measurable impact.
Experience
Work history, roles, and key accomplishments
Software Engineer Intern
Wrixte Infosec Private Limited
Oct 2024 - Aug 2025 (10 months)
Designed and deployed a Firewall Auditor System using FastAPI and Python to automate CIS benchmark validation across Fortigate and Palo Alto firewalls and improve compliance accuracy. Built UEBA anomaly detection modules in the company SIEM using behavioral baselining and OpenSearch analytics to detect potential insider threats and improve incident response.
Education
Degrees, certifications, and relevant coursework
Manipal Institute of Technology (MAHE)
Master of Technology (M.Tech), Computer Science and Information Security
2023 - 2025
Grade: 7.17
Activities and societies: Publication: Moolya, S. (2025). Machine Learning Approach for Early Detection of Heart Disease. ICHCSC 2024, Springer (doi:10.1007/978-981-96-3420-0).
Pursued an M.Tech in Computer Science and Information Security at Manipal Institute of Technology (MAHE) from 2023 to 2025. Authored a peer-reviewed publication presented at ICHCSC 2024 (Springer).
Shri Madhwa Vadiraja Institute of Technology and Management
Bachelor of Engineering (B.E.), Computer Science and Engineering
2019 - 2023
Grade: 7.66
Completed a B.E. in Computer Science and Engineering from 2019 to 2023 at Shri Madhwa Vadiraja Institute of Technology and Management (VTU).
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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