Cybersecurity engineer focused on practical defense, detection engineering, and cloud security.

Cybersecurity Engineer supporting enterprise security operations across 8,500+ endpoints and 2,700+ identities, with responsibilities spanning detection engineering, incident response, identity security, vulnerability management, cloud security, endpoint protection, and security automation.

• Engineered Microsoft Sentinel analytics rules and KQL detections across 8,500+ endpoints, reducing false-positive alerts by 34% and improving analyst investigation efficiency.
• Strengthened identity security for 2,700+ users through Microsoft Entra ID Conditional Access, MFA, and Privileged Identity Management, reducing high-risk authentication events by 41%.
• Optimized vulnerability remediation using Tenable Nessus, Qualys VMDR, CVSS-based prioritization, and PowerShell automation across Windows and Linux environments, improving remediation SLA compliance by 29%.
• Coordinated high-severity investigations with infrastructure, cloud, application, and security teams by correlating Splunk telemetry, MITRE ATT&CK techniques, endpoint indicators, and identity activity.
• Improved Azure and AWS security posture using Microsoft Defender for Cloud, AWS Security Hub, and Amazon GuardDuty, remediating 300+ cloud misconfigurations and strengthening alignment with NIST CSF and CIS benchmarks.
• Enhanced endpoint resilience through Microsoft Defender XDR, CrowdStrike Falcon, Palo Alto security policies, and Python-driven operational reporting, decreasing endpoint exposure scores by 32%.
• Translated technical security findings into remediation priorities, operational reports, and risk-reduction recommendations for technical and business stakeholders.

Graduate research role focused on GPU security, vulnerability analysis, and the security risks associated with accelerated computing environments.

• Co-authored a research paper with Prof. Shivanjali Khare examining GPU vulnerabilities, attack surfaces, exploitation techniques, and defensive controls across modern computing environments.
• Conducted a structured review of academic publications, CVE disclosures, vendor security advisories, and technical documentation to identify recurring GPU security risks and gaps in existing research.
• Compared security controls across GPU hardware, firmware, drivers, memory management, virtualization, and software layers to evaluate potential attack paths and mitigation strategies.
• Supported research planning, evidence validation, technical analysis, reference management, and preparation of research documentation, presentations, and manuscript content.

Cybersecurity Analyst supporting enterprise security monitoring, incident response, identity visibility, Linux security, vulnerability remediation, automation, and phishing-awareness initiatives across a large production environment.

• Modernized security monitoring through Splunk dashboards, firewall telemetry, and Active Directory audit analysis across 1,900+ systems, improving investigation visibility and reducing forensic evidence-collection time by 27%.
• Developed reusable KQL threat-hunting queries, incident response playbooks, and cross-functional escalation workflows, reducing mean time to respond from 82 minutes to 49 minutes.
• Investigated suspicious authentication activity, endpoint indicators, firewall events, and Microsoft 365 telemetry to support incident triage, containment, documentation, and escalation.
• Developed Linux security baselines using Red Hat Enterprise Linux, Bash scripting, and Ansible automation across 450+ production workloads, reducing configuration drift by 36%.
• Supported vulnerability remediation by identifying configuration weaknesses, prioritizing affected systems, coordinating corrective actions, and validating remediation progress.
• Strengthened phishing-awareness initiatives by analyzing email attack patterns, Microsoft 365 security telemetry, and user-reporting metrics, increasing phishing-detection participation by 38%.
• Created investigation procedures, security documentation, and escalation guidance to improve operational consistency across security and infrastructure teams.

Undergraduate research role focused on machine learning, cybersecurity, and secure cyber-physical power systems, resulting in three IEEE-indexed publications.

• Co-designed a machine-learning-based intrusion detection system for cyber-physical power systems using decision-tree classification and performance measures including accuracy, precision, recall, and F1 score.
• Developed a transformer oil-temperature monitoring model using operational data and compared kNN, random forest, SVM, and logistic regression classifiers.
• Contributed to the design and simulation of a PBFT-based blockchain framework for secure vehicle-to-grid energy trading, focusing on transaction integrity, confidentiality, and privacy.
• Supported literature review, dataset preparation, coding, simulation, experimental analysis, technical documentation, and preparation of camera-ready IEEE manuscripts.

Graduate program focused on security operations, incident response, offensive security, network engineering, cloud security, digital forensics, secure systems, and security automation.

• Completed coursework in ethical hacking, cryptography, digital forensics, incident response, Unix and Linux administration, network design, security architecture, and scripting.
• Built practical environments using Security Onion, Wazuh, Active Directory, pfSense, Pi-hole, Unbound, WireGuard, Linux, Windows Server, and Python-based automation.
• Combined technical education with cybersecurity research, graduate leadership, admissions support, student engagement, and community outreach.

Electrical engineering degree combining power systems, embedded systems, automation, programming, machine learning, and cyber-physical systems, providing a strong technical foundation for secure infrastructure, networked devices, and cybersecurity research.

• Completed coursework in power systems, control systems, programming, databases, operating systems, artificial intelligence, machine learning, cyberlaw, and energy systems.
• Conducted research involving intrusion detection, transformer monitoring, machine learning, blockchain, and secure vehicle-to-grid energy systems.
• Co-authored three IEEE-indexed publications and participated in applied engineering, cybersecurity, and research competitions.
• Developed experience in technical research, experimentation, data analysis, documentation, presentations, and interdisciplinary problem-solving.