Website: Marylandersonline.umd.edu 

Led research efforts for $6M federally-funded Digital Literacy Project, providing strategic insights, compelling data to support grant applications. Instrumental in the development & execution of this initiative to digitally empower residents across the state of MD.

Conducted Research on AI & RAG, LLM models in enhancing digital literacy & equity, identifying 10 high impact use cases that can benefit the Project, leading to the development of 3 AI-powered features that improved learning experience.

Managed the project's website content, collaborating with team members to create and publish 25+ web-based resources related to digital literacy, resulting in an 80% increase in website traffic and an increased user retention.

Experienced in Incident Response, Threat Hunting, malware, email, and phishing analysis with a track record of timely detection and mitigation of potential threats such as ransomware, APTs, Botnet, DDoS, phishing, and impersonation attacks.  

As a key member of an MSSP, proactively performed 24/7 threat hunting, risk mitigation, and incident response. My contributions helped scale the SOC from 6 clients to successfully overseeing 16 clients within 2 years.

Actively worked on an impersonation attack that caused monetary damage to a client’s brand by demanding ransom and used my threat hunt expertise to identify and contain the threat, ultimately resolving the issue.

Responsible for writing Incident Response playbooks for malware, phishing, and network intrusion.

 Demonstrated my expertise in SIEM and EDR tools by creating new rules to enhance our detection capabilities.

Successfully trained and onboarded 10+ security analysts within a 3-month timeframe, resulting in a 50% increase in incident handling efficiency.  

Contributed to the development and implementation of a SOC transformation program for a U.S.-based financial services client, resulting in improved capabilities to detect and respond to threats.  

Built an AI-powered B2B FinTech app displaying invoice details & predicts payment dates for businesses.  

Designed and developed an AI-powered B2B FinTech app using Java, Servlet, JS, MySQL, ExtJS, Python, and Scikit-learn that extracts invoice details and predicts payment dates for businesses.

This enabled clients to streamline their invoice processing and improve their cash flow management, resulting in significant cost savings and increased operational efficiency for the organization.

Gained full-stack software engineering skills to complement cybersecurity background.