Danyal Khan

- Managed daily IT operations, including infrastructure maintenance, network administration, and end user support across multiple medical offices.
- Led implementation and integration of EHR/EMR systems, practice management software, and telehealth platforms to streamline patient care and data accessibility.
- Developed and enforced IT policies, cybersecurity protocols, and HIPAA compliance measures to safeguard PHI and business critical systems.
- Implemented data backup, disaster recovery, and business continuity plans to reduce downtime risk and maintain operational resilience.
- Collaborated with executives and practice administrators to align technology initiatives with business objectives and optimize workflow efficiency.

- Developed and executed comprehensive technology strategies for public sector clients, integrating solutions across cloud infrastructure, cybersecurity, networking, and software systems to support organizational growth and resilience.
- Generated over $1.5 million in revenue within 4 months by aligning business objectives with modern IT architectures and scalable, secure technology deployments.
- Partnered with top-tier vendors and engineering teams (Microsoft, Cisco, Dell, Palo Alto, and more) to design, implement, and support customized IT environments that improved operational performance and minimized security risks.
- Acted as a strategic advisor to business and technical leaders, translating complex technical concepts into actionable business outcomes while driving digital transformation initiatives.
- Oversaw the full technology lifecycle, from solution architecture and procurement to deployment, integration, and post implementation optimization, ensuring reliability, compliance, and business continuity.

• Created Python and Bash based automation scripts for automated radar calibration and validation, cutting manual testing time by 40% and improving reliability.
• Developed and optimized embedded software for Uhnder’s digital automotive radar systems, enhancing object detection accuracy by 15% through algorithm fine-tuning and performance testing.
• Conducted system-level testing and troubleshooting to identify and resolve software and hardware interface issues.
• Utilized programming languages such as C, C++, and Python to support software development and automation tasks.