Faraz Hashmi Email & Phone Number

Morrisville, NC, US

Remote

Charlotte, North Carolina, United States

🔹Cross-Functional Experience: Gained valuable insights and skills by working with both Cybersecurity and HR teams, utilizing advanced tools like Black Kite and BitSight to analyze insider threats and vulnerabilities, and integrating LLMs with AWS Bedrock, Cloud9, and Claude 3.5 for data processing.🔹Innovative Data Solutions: Developed and tested a Batch.

🔹As a GIS analyst at the MCA, I utilized software like JMARS and techniques like Spatial Analysis to identify suitable landing sites like the Holden Crater on Mars and ascertain other essential details. My tasks included:🔹 Apply Spatial Analysis techniques with Java Mission Planning and Analysis (JMARS) software to undertake precise analysis of Holden.

Remote

🔹Lens Development: Conceptualized, designed, and developed three engaging Augmented Reality (AR) Lenses for Snapchat, employing a blend of creativity and technical expertise. Collaborated closely with Snap Inc. teams to ensure alignment with platform guidelines and user preferences.🔹 Engagement Metrics: Achieved outstanding engagement results, with over.

North Carolina, United States

• The cybersecurity internship is designed to provide exposure to a variety of security tasks that one should expect a junior or entry-level security analyst to perform. These include reimaging machines that have been.
• Log analysis
• Machine reimaging (macOS and Windows)
• Malware/Virus removal and analysis
• Phishing mailbox monitoring and remediation
• Threat feed monitoring and updating

The mission of this position is to build and continuously improve the Cyvergance.AI cybersecurity governance, risk, and compliance management function, focusing on driving improvements in cyber risk management related to sensitive data, systems, third-party vendors, and cloud environments. l will work with cross-functional teams and asset owners to ensure.

San Jose, California, United States

- Successfully implementing Python-based Convolutional Neural Networks and transfer learning models employing TensorFlow, PyTorch, and Matplotlib to detect diseases using open-source medical image datasets. The achieved results were exceptional, boasting an accuracy of 92%, precision of 89%, recall of 93%, and an impressive F1 score of 0.91, which have.

Cary, North Carolina, United States

Background coder for developing company. Intricately crafted code as a background coder for a flourishing development company, breathing life into digital realms with creative flair.

Raleigh, North Carolina, United States

I was given a unique opportunity to interact with professionals in the biomedical field through the cooperative program between the Massachusetts Institute of Technology and Biogen Inc. I learned essential information on research in a professional setting among other biomedical fundamentals.