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I’m a Computer Science graduate student at the University of Texas at Arlington with experience in software development, cloud computing, and cybersecurity. At Infosys, I worked as a Security Engineer, conducting vulnerability assessments and strengthening enterprise application security. During my internship at the High Energy Materials Research Laboratory (DRDO), I developed machine learning models to detect anomalous user behavior and enhance threat detection accuracy. My academic projects in distributed systems and deep learning have further fueled my passion for building secure, data-driven, and scalable software solutions.…I’m a Computer Science graduate student at the University of Texas at Arlington with experience in software development, cloud computing, and cybersecurity. At Infosys, I worked as a Security Engineer, conducting vulnerability assessments and strengthening enterprise application security. During my internship at the High Energy Materials Research Laboratory (DRDO), I developed machine learning models to detect anomalous user behavior and enhance threat detection accuracy. My academic projects in distributed systems and deep learning have further fueled my passion for building secure, data-driven, and scalable software solutions.

Disha Thalwar

Programmer, Web Developer, AI Engineer, +4

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I’m a Computer Science graduate student at the University of Texas at Arlington with experience in software development, cloud computing, and cybersecurity. At Infosys, I worked as a Security Engineer, conducting vulnerability assessments and strengthening enterprise application security. During my internship at the High Energy Materials Research Laboratory (DRDO), I developed machine learning models to detect anomalous user behavior and enhance threat detection accuracy. My academic projects in distributed systems and deep learning have further fueled my passion for building secure, data-driven, and scalable software solutions.…I’m a Computer Science graduate student at the University of Texas at Arlington with experience in software development, cloud computing, and cybersecurity. At Infosys, I worked as a Security Engineer, conducting vulnerability assessments and strengthening enterprise application security. During my internship at the High Energy Materials Research Laboratory (DRDO), I developed machine learning models to detect anomalous user behavior and enhance threat detection accuracy. My academic projects in distributed systems and deep learning have further fueled my passion for building secure, data-driven, and scalable software solutions.

Available to hire

I’m a Computer Science graduate student at the University of Texas at Arlington with experience in software development, cloud computing, and cybersecurity. At Infosys, I worked as a Security Engineer, conducting vulnerability assessments and strengthening enterprise application security. During my internship at the High Energy Materials Research Laboratory (DRDO), I developed machine learning models to detect anomalous user behavior and enhance threat detection accuracy. My academic projects in distributed systems and deep learning have further fueled my passion for building secure, data-driven, and scalable software solutions.

Skills

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Expert

Expert

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Intermediate

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Work Experience

Systems Engineer at Infosys

July 1, 2023 - August 7, 2025

Provided cybersecurity expertise and conducted 100+ comprehensive vulnerability assessments and penetration testing initiatives for Deutsche Bank, improving security by mitigating critical vulnerabilities. Led a cross-functional team to execute over 60 VAPT engagements on web applications and Google Cloud-hosted enterprise environments, uncovering and mitigating critical security vulnerabilities to strengthen system resilience. Performed host-based audits across Linux, Windows servers, and Oracle databases ensuring compliance with CIS Benchmarks and various industry standards. Delivered detailed reports and architectural recommendations for remediation to technical and nontechnical audiences, resulting in a 20% increase in application reliability and client satisfaction.

Software Developer Intern at Aastha Education and Welfare Society

April 1, 2021 - August 7, 2025

Engineered a high-performance single-page application using React.js, Bootstrap, and Vanilla JavaScript, achieving fast load times and high Lighthouse scores. Modularized reusable components and integrated lazy loading, dynamic routing, and Webpack bundling to reduce render-blocking scripts by 40% and improve scalability. Integrated RESTful APIs for dynamic data rendering, reducing hardcoded changes by 60%. Successfully deployed the site to a custom domain with optimized build pipelines and hosting workflows to ensure stable performance across devices.

Software Intern at Abhayam Manufactures Private Limited

September 1, 2020 - August 7, 2025

Developed a lightweight internal dashboard using JavaScript, PHP, and MySQL to streamline inventory tracking and automate daily transaction logs, reducing manual input errors by 70%. Collaborated with operations and management teams to gather requirements, translated workflows into modular code, and deployed the solution on a local network with secure role-based access controls.

Machine Learning Intern at Defense Research and Development Organization

March 1, 2020 - August 7, 2025

Developed and deployed five high-performance machine learning models to detect anomalous user behavior, enhancing attack prediction capabilities and fortifying system security. Achieved 95% prediction accuracy, reducing false positives by 20%, which increased threat detection efficiency. Earned recognition from the Senior Scientist for exceptional contributions, leading to sponsorship for the final-year project.

Systems Engineer at Infosys

July 1, 2023 - October 15, 2025

Provided cybersecurity expertise and conducted 100+ comprehensive vulnerability assessments and penetration testing initiatives for Deutsche Bank; spearheaded a cross-functional team to execute 60+ in-depth Vulnerability Assessment and Penetration Testing (VAPT) engagements on web applications and Google Cloud-hosted/Enterprise environments, uncovering and mitigating critical security vulnerabilities. Proficient in performing host-based audits across Linux, Windows servers, and Oracle Databases, ensuring compliance with CIS Benchmark guidelines and industry standards (CVE, CVSS, HIPAA, CWE, PCI-DSS, NIST 800-53, ISO 27001). Delivered detailed reports, architecture reviews and remediation recommendations, resulting in ~20% increase in application reliability and client satisfaction.

Software Developer Intern at Aastha Education and Welfare Society

April 1, 2021 - October 15, 2025

Engineered a high-performance single-page application using React.js, Bootstrap, and Vanilla JavaScript, achieving load times under 1.8s and 95+ Lighthouse scores. Modularized reusable components with lazy loading, dynamic routing, and Webpack bundling, reducing render-blocking scripts by 40%. Integrated RESTful APIs for dynamic data rendering (courses, contact forms, user feedback), streamlining content updates and reducing hardcoded changes by 60%. Deployed the site to a custom domain with optimized build pipelines and hosting workflows, ensuring stable performance and load times under 2s across devices.

Software Intern at Abhayam Manufactures Private Limited

September 1, 2020 - October 15, 2025

Developed a lightweight internal dashboard using JavaScript, PHP, and MySQL, streamlining inventory tracking and automating daily transaction logs, reducing manual input errors by 70%. Collaborated with operations and management teams to gather requirements, translated workflows into modular code, and deployed the solution on a local network with secure role-based access controls.

Machine Learning Intern at Defense Research and Development Organization

March 1, 2020 - October 15, 2025

Developed and deployed 5 high-performance machine learning models to detect anomalous user behavior, enhancing attack prediction capabilities and fortifying system security. Achieved a 95% prediction accuracy, reducing false positives by 20%, and enhancing threat detection efficiency. Earned recognition from Senior Scientist for exceptional contributions, leading to sponsorship for the final-year project.