I am a senior computer science major at UMass Amherst with a reserved seat to the 4+1 M.S. in Computer Science program starting Fall 2026. My work focuses on the intersection of Cybersecurity and AI, ranging from market research to building automated security platforms.

If you'd like to contact me, please email me at:

turagikbal26@gmail.com

From there, we can discuss more forms of communication.

• Languages: Rust, Python (FastAPI), Go, Java, SQL (PostgreSQL), JavaScript (HTMX), HTML/CSS (Tailwind).
• Security & AI: nmap, SIEM (Splunk, ELK), DSPM, LLM Integration (Gemini/OpenAI), Vulnerability Management (Trivy).
• Cloud & DevOps: Docker, Docker Compose, Azure, Git, Linux/Unix.

June 2025 – Present

• Researching marketspaces in cybersecurity software and conducting evaluations on customer behalf to best select a product.
• Created a list of 150+ requirements for DSPM products and evaluated 6 vendors against said requirements.
• Developing an AI educational curriculum for internal teams and customers to facilitate secure AI adoption.
• Analyzing historical market data to project the trajectory of AI integration within cybersecurity product landscapes.

• Engineered a high-performance static analysis tool in Rust to detect hardcoded secrets and security vulnerabilities.
• Implemented recursive directory traversal and Regex pattern matching to identify AWS keys, passwords, and private tokens.
• Designed for efficiency and safety with Smart Filtering (ignoring .git and binary files) and structured JSON output for CI/CD integration.

• Recreated the Unix wc utility in Go to handle large-scale text processing.
• Implemented support for byte, line, word, and character counts using standard flags.
• Optimized for performance using buffered I/O to handle both file paths and standard input (stdin) streams.

• Built a full-stack security platform using FastAPI and PostgreSQL to automate Trivy scan ingestion.
• Integrated Google Gemini AI to provide automated CVE analysis and actionable remediation plans.
• Developed a reactive, containerized dashboard with HTMX and Docker for real-time security metrics.

• Engineered a high-performance CLI tool in Go to monitor website availability and latency.
• Implemented Worker Pools and Go Channels to handle concurrent HTTP requests efficiently.
• Designed modular input handling to support CLI arguments, CSV file ingestion, and Unix pipe streams.

• Built a cybersecurity-focused environment for SIEM and network traffic monitoring.
• Implemented attack simulations and analyzed real-time log data for event correlation.

• Description: Collaborated with two undergraduate students under the supervision of a Ph.D student in the Secure, Private Internet (SPIN) Research Group at UMass Amherst to explore the applications of LLMs and Generative AI in cybersecurity.
• Skills: Research, LLMs, and Generative AI.
• GitHub: URV-AI-Cybersecurity-Research

• Description: Collaborated with a partner to create a survey paper of the threats and defenses of backdoor attacks in the field of machine learning.
• Skills: Research, Machine Learning, Collaboration
• GitHub: Threats and Defenses of Backdoor Attacks in Machine Learning
• Research Paper: View the paper (PDF)

• Cyera DSPM Architect: Implement and maintain DSPM for an AI-ready security program.
• Cyera Certified Security for AI Fundamentals: Risk management and security frameworks for LLM-based applications.
• Microsoft Cybersecurity Analyst Professional Certificate: Comprehensive security frameworks and penetration testing skills.
• Career Essentials in Cybersecurity by Microsoft and LinkedIn: Network security fundamentals and threat management.
• Foundational C# with Microsoft: Core OOP, data structures, and algorithm design.