Current Projects

AI-driven Resume & Job Search

An advanced, AI-powered platform that transforms the job search and career management experience. Users are guided by a personalized assistant from resume upload to job application, leveraging AI for deep resume analysis, skill gap identification, and automated, tailored application materials.

Key Benefits:

  • CareerCoach AI Companion: A virtual hiring manager best friend that provides supportive, conversational guidance throughout the application process.
  • Resume Gap Analysis: Identifies missing skills and experiences by comparing resumes to job descriptions.
  • Personalized Application Materials: Automatically generates tailored resumes and cover letters for each job opportunity.
  • Motivational Support: Reduces application stress and boosts confidence with encouraging, expert advice.
  • Enhanced Job Match Rates: Improves the likelihood of landing interviews by optimizing resume content and alignment.
Impact: Empowers job seekers with insider expertise, making the job search more efficient, effective, and less stressful.

Expert Analysis: A Framework for Modern, Risk-Based Vulnerability Management

The modern threat landscape is characterized by an overwhelming volume of vulnerabilities, making traditional remediation methods based solely on technical severity scores untenable. To effectively reduce business risk, organizations must adopt a sophisticated, context-aware approach. This document outlines a comprehensive framework for a modern vulnerability management program, addressing the role of artificial intelligence (AI), the development of a quantitative risk scoring model, and the practicalities of implementation.

Key Benefits:

  • AI-Augmented Decision Making: Leverages AI as a powerful co-pilot that empowers security experts to make faster, more informed decisions while maintaining human oversight.
  • Human-in-the-Loop Model: Combines AI's rapid data processing capabilities with human expertise for nuanced threat assessment and strategic validation.
  • Context-Aware Risk Scoring: Moves beyond technical severity scores to incorporate business context and operational environment factors.
  • Reduced Security Noise: AI processes vast datasets to identify complex patterns and perform initial risk triage, allowing teams to focus on high-impact vulnerabilities.
  • Strategic Vulnerability Management: Provides a comprehensive framework for implementing modern, risk-based approaches that align with business objectives.
Impact: Transforms vulnerability management from reactive, score-based remediation to proactive, business-aligned risk reduction through AI-human collaboration.

AI Mental Health / Resilience

Project details coming soon.

AI Web Application Design / Marketing / SEO

Project details coming soon.