Begin Your Cybersecurity, AI, or Data Analytics Career With Purpose.

Focus on technical architecture, training models, and deploying them into production environments (cloud or on-premises). Build and deploy scalable machine learning pipelines that integrate advanced algorithms into IT environments. Focus on Machine Learning Operations (MLOps), ensuring that mission-critical models ranging from predictive maintenance to natural language processing remain reliable, auditable, and secure against adversarial threats.

Protect an organization’s digital assets by continuously monitoring networks for suspicious activity and responding rapidly to contain potential security breaches. Proactively manage risks by conducting vulnerability assessments, implementing protective software, and ensuring all systems comply with the latest security protocols and regulations.

Design and implement complex, scalable data architectures and technical solutions tailored to meet the specific analytics requirements of clients. Bridge the gap between mission objectives and IT service delivery by developing integrated data strategies that ensure the secure, efficient, and compliant flow of information across the enterprise.

Build and optimize scalable architectures that integrate raw information from disparate on-premises and cloud sources into reliable, machine-readable formats for analytics. Develop robust ETL/ELT pipelines that ensure high data quality and reliability, directly enabling the advanced predictive and prescriptive modeling required for mission-critical decision making.

Deploy advanced analytics and deep learning techniques, including reinforcement learning and NLP to extract actionable insights from complex, multi-domain datasets. Identify patterns within intricate systems-of-systems and develop high-fidelity visualizations that ensure traceability and solve critical mission problems through predictive modeling.

Manage the strategic alignment of IT security with NIST 800-171, CMMC, NIST CSF, ISO 27001, and/or PCI DSS standards by developing internal policies and conducting formal risk assessments. Serve as the central hub for compliance, ensuring that all technical controls are documented and verified to satisfy audits and maintain long-term organizational security.

Oversee the full lifecycle of the NIST Risk Management Framework (RMF), guiding systems through categorization, selection, and implementation of security controls to achieve and maintain Authority to Operate (ATO).

Provide critical technical expertise to maintain and mature the NIST Risk Management Framework (RMF), ensuring systems achieve and sustain Authority to Operate (ATO). Lead Assessment and Authorization (A&A) efforts, while offering strategic recommendations to improve the security posture and compliance of client applications.

Conduct authorized, adversarial simulations to identify and exploit security gaps in systems, mimicking the tactics of real-world threats. Provide the technical validation necessary for risk assessments and security compliance, ensuring that mission-critical infrastructure can withstand sophisticated cyberattacks.

Design and integrate cyber-resilient solutions into system architectures by decomposing complex security requirements and implementing strict hardening standards. Lead technical risk analysis and the development of critical documentation to remediate vulnerabilities through POA&Ms, ensuring all platforms achieve and maintain an acceptable security posture.

Conduct independent, comprehensive evaluations of management, operational, and technical security controls to determine their effectiveness in protecting information systems.

Maintain the integrity of IT infrastructure by designing, installing, and optimizing secure platforms and computing environments. Lead the development of advanced security strategies across integrated systems, focusing on robust infrastructure defense and the seamless integration of digital forensics and incident response capabilities.

Develop the front-end and back-end applications that allow users to interact with Artificial Intelligence (AI), ensuring the system is scalable and optimized.

Perform systematic scans and analyses of information systems to identify security weaknesses and ensure compliance with security requirements. Assess vulnerabilities based on mission risk and generate technical reports that guide remediation efforts.