Vaibhav Nagar

Software Engineer

San Francisco, California, United States6 yrs 9 mos experience

Most Likely To Switch

Key Highlights

Strong foundation in cybersecurity and software engineering.
Experience developing secure software solutions at Adobe.
Pursuing advanced cybersecurity topics at Georgia Tech.

Stackforce AI infers this person is a Cybersecurity and Software Engineering professional with a focus on secure software development.

Contact

vnagar@paloaltonetworks.com LinkedIn

Skills

Core Skills

CybersecurityNetwork SecurityThreat AnalysisKubernetesCloud Services

Other Skills

Amazon EKSAssembly LanguageAzure Kubernetes Service (AKS)CCSSComputer NetworkingComputer ScienceFirewallsGNU DebuggerGNU OctaveGitGo (Programming Language)HTMLHaskellIDA Pro

About

I’m a cybersecurity enthusiast and software engineer with a strong foundation in computer science and programming. After completing my B.Tech. in Computer Science and Engineering from IIT Kanpur, I spent three years at Adobe developing scalable and secure software solutions. My experience in software development deepened my interest in security — how systems can be protected, hardened, and made resilient. This passion led me to pursue an M.S. in Cybersecurity at Georgia Tech, where I’m exploring advanced topics in network security, cryptography, and threat intelligence. I’m driven by curiosity, technical depth, and a desire to build secure digital ecosystems. Always open to collaborating on cutting-edge security projects or research that bridges software engineering and cybersecurity.

Experience

Palo alto networks

2 roles

Senior Staff Software Engineer - Layer7 Security

Promoted

May 2025 – Present · 10 mos · San Francisco Bay Area

CGo (Programming Language)Shell ScriptingComputer NetworkingNetwork SecurityOperating Systems+3

Staff Software Engineer - Layer7 Security

Feb 2024 – May 2025 · 1 yr 3 mos · San Francisco Bay Area

CGo (Programming Language)Shell ScriptingComputer NetworkingNetwork SecurityOperating Systems+2

A10 networks, inc

Staff Software Engineer - Threat Intelligence

Jun 2023 – Feb 2024 · 8 mos · San Jose, California, United States

Go (Programming Language)PythonNetwork SecurityThreat AnalysisMalware Analysis

Georgia institute of technology

2 roles

Graduate Teaching Assistant

Jan 2023 – Feb 2024 · 1 yr 1 mo · Atlanta, Georgia, United States

Applied Cryptography - CS6260

Graduate Teaching Assistant

Jan 2022 – Dec 2022 · 11 mos · Atlanta, Georgia, United States

Introduction to Information Security- CS6035

Vmware

Software Security Intern

May 2022 – Aug 2022 · 3 mos · Palo Alto, California, United States

Azure Kubernetes Service (AKS)Amazon EKSIstioGo (Programming Language)KubernetesCloud Services

Adobe

Member Of Technical Staff

Jul 2018 – Mar 2021 · 2 yrs 8 mos · Bengaluru Area, India

Worked in a team of digital marketing to extend Adobe Media Optimizer product platform by building scalable microservices and data pipelines for various machine learning applications.

Auquan

Research And Development Intern

Jan 2018 – Jul 2018 · 6 mos · Bengaluru Area, India

Worked on developing LSTM based predictive models for predicting the fair value of various stocks using time series data.
Implemented an extensible model learning system to train and find the best model for a target variable after performing various feature engineering, selection, and transformation techniques in an automated fashion.

Adobe

Research Intern

May 2017 – Jul 2017 · 2 mos · Bengaluru Area, India

Researched multi-task Learning on web analytic data and implemented various multi-task learning models to test the hypothesis that building joint models on related tasks is more effective than doing them independently.
Exploited the creation of a representation that is common across tasks as a customer profile for lookalike modeling and clustering.

Monet networks inc.

Software Development Intern

May 2016 – Jul 2016 · 2 mos · Gurgaon, India

Implemented various features to enhance Monet‘s analytic platform which provides a way to capture, track and analyze video content in real-time and allows users to find and rate different brands‘ content.
Developed a feature of analyzing text to get emotions out of it using a tone analyzer API and to detect gibberish texts and created a portal to add campaigns of videos, images, and texts and integrated it with Wowza streaming engine.