- Built a Context-Aware Prompt Injection Defense Tool using Zero Trust, Defense in Depth, and STRIDE methodologies.
- Implemented multi-layer defense with regex static checks, DeBERTa semantic analysis, and a sanitization layer.
- Integrated Azure-based logging with KQL monitoring and MITRE ATLAS framework mappings for advanced analytics.
I build secure systems.
Protecting digital futures.
Innovative Collaborator
Work Experience
Software Engineer
- Developing robust security tools and information sharing platforms for the research and education community.
Cybersecurity Research Fellow
- Built a comprehensive AI security framework to accelerate SOC tool evaluation and risk assessment.
- Conducted adversarial ML research to identify failure modes and guide evidence-backed AI adoption.
- Co-delivered workshops on AI-assisted anomaly detection to improve community best practices.
Cybersecurity Analyst, Technology Consulting
- Strengthened enterprise security by remediating critical misconfigurations and optimizing defensive controls across network and endpoint layers.
- Reduced pre-deployment risk through Trivy CI/CD integration and accelerated vulnerability management workflows via custom Python automation.
Education
Master of Science, Computer Science
Relevant Coursework: Applied Algorithms, Applied Database Concepts, Software Engineering, Cloud Computing, Security for Networked Systems.
Bachelor of Technology in Electronics and Telecommunication
Relevant Coursework: Computer Networks, Internet Engineering and Network Security, Big Data Analytics, DBMS, Data Encryption, Object Oriented Programming, Data Structures and Algorithms
Featured Projects
- Developed a vulnerability scanner for requirements.txt/package.json using NVD, OSV, and CVSS-based risk scoring.
- Integrated Google Gemini API to generate business-aligned risk reports with impact mapping and rate limiting.
- Designed a modular Planner-Executor-Memory architecture with auto-patching and Streamlit UI.
- Led development of an AI assistant to automate backend DB operations, winning 1st place at Luddy Hackathon 2024.
- Delivered 2× throughput improvement by integrating NLP models, real-time analytics, and audit logging.
- Reduced dev time by 15% using FastAPI, ChatGPT-4, and SQLite to streamline workflows.
- Designed a secure, scalable AWS backend (EC2, S3, SQS) supporting 50+ concurrent jobs.
- Implemented isolated Docker execution for 5 languages to prevent cross-job interference.
- Integrated static analysis tools (Bandit, Checkstyle) achieving 90% vulnerability detection precision.
Li-Fi Accident Prevention
- Designed a system using Li-Fi technology for 200Gbps+ V2V communication and accident reporting.
- Integrated Cloud Firestore and TensorFlow for real-time sensor data analysis and computer vision.
- Secured 1st place at DJ SPARK 2022 for demonstrating real-world feasibility.
Mission Highlights

NSF Cybersecurity Summit 2025
Co-delivered a 4-hour workshop for 200+ attendees, including PIs on AI-assisted anomaly detection and security log analysis workflows.

Bsides Bloomington 2025
Attended workshops on advanced penetration testing and hardware hacking.

RALLY 2025
Attended workshops on advanced penetration testing and hardware hacking.
Professional Certifications
Validated expertise in Cybersecurity, AI, and Cloud Computing through rigorous industry-standard certifications.
Security Research
Documenting my journey through CTFs, vulnerability research, and security engineering challenges.




