I'm an Information Security Analyst
I help organizations detect threats, protect critical assets, and automate security operations. With a background in security engineering, threat analysis, and compliance support, I am focused on building resilient security solutions for dynamic environments.
As a Master's graduate in Cybersecurity, I am passionate about staying ahead of emerging threats, contributing to security operations in dynamic environments, and bridging the gap between security strategy and execution.
Whether it is automating security tasks, collaborating on risk assessments, or supporting incident response, I am focused on delivering value through technical skill, risk-based thinking, and continuous learning.
I aim to advance in cybersecurity operations with a focus on threat detection, incident response, security automation, and engineering resilient defenses. I strive to leverage cloud security, risk management, and AI-driven security solutions to build robust security architectures, streamline response workflows, and strengthen organizational resilience against evolving threats.
Keeping sensitive data out of LLM workflows: screening prompts before they leave, classifying content with structured models, and running private retrieval-augmented agents on local models.
Incident detection and response, security log analysis, detection logic, threat intelligence, vulnerability management and drafting information security documentation.
From cloud incident automation to a gate that keeps secrets out of LLM prompts.
A Python library that screens every prompt before it reaches an LLM API. A local pre-filter blocks secrets and IDs on-device, a fast classifier judges the rest, and a configurable policy decides: block, pass, or reconfirm, with a recommended model tier. Fail-secure by design.
A private, secure, AI-powered research assistant for threat intelligence. Leverages local LLMs and RAG to answer questions from internal datasets without exposing data to the cloud.
View project →Developed an automated cloud incident response system using AWS Lambda, GuardDuty, and EventBridge to detect threats, isolate compromised resources, and trigger real-time alerts. Streamlined security operations by reducing manual intervention and enhancing response speed within AWS environments.
View project →Built a secure student data retrieval system on a serverless AWS architecture using Lambda, API Gateway, DynamoDB, and S3. Enabled low-latency data access with IAM-based access controls and real-time monitoring.
Watch the demo →Created a real-time system using OpenCV and deep learning (CNNs) to detect, count, and classify vehicles from traffic camera footage. Try it yourself: upload a video and watch it run in your browser.
Try the demo →If you'd like to connect or discuss opportunities, feel free to reach out using the form, or find me below.