Nicholas Gray Email & Phone Number

Orlando, FL, US

Orlando, Florida, United States

Orlando, Florida, United States

Orlando, Florida, United States

• Developing a plan to increase student awareness, participation, and retention on researching and developing new use cases for artificial intelligence.

Orlando, Florida, United States

• Planned topics of discussion with the rest of the executive team for General Body Meetings (GBMs) and Discussions to inform students on the latest developments in AI research and development and educate on the contents.
• Conducted staff interviews for new executive staff on their knowledge and enthusiasm for AI research, adding 2 people to the executive team.
• Led a team to develop an OCR application converting handwriting to text with a focus on cursive and hard to decipher handwriting using Convolutional Neural Networks and Beam Search using Keras written in Python.

Orlando, Florida, United States

Sunnyvale, California, United States

Orlando, Florida, United States

Utilized auto-encoder, transformer, and state-space architectures for performing point anomaly detection and novelty detection to detect anomalies in in-development flight technologies. Improved operation efficiency by implementing parallelization, logging, and checkpointing control into existing ARISE toolchain pipelines.

Waltham, Massachusetts, United States

• Evolv Technology is a physical security company developing security screening systems that only detect dangerous items without lowering the throughput of visitors entering a location. My project was to improve the.
• Developed a suite of people counting pipelines in Python using image processing, computer vision, and deep learning algorithms from the OpenCV and DepthAI platforms.
• Reduced counting error by a factor of 10 to less than 1 out of 25 people by using the YOLO architecture and object tracking.
• Presented weekly deliverables to a team of 7 discussing project updates and topics related to stereo vision and deep learning.

Orlando, Florida, United States

• Machine learning research intern for Unknot.id, an Orlando based startup breaking into the real-time tracking and monitoring space using groundbreaking multi-modal based tracking capable of tracking in degraded GPS and.
• Developing an end-to-end machine learning pipeline that constructs a comprehensive WiFi access point based radio map for smart phone tracking using Inertial Measurement Unit (IMU) and WiFi strength sensor data.
• Implemented a novel WiFi-based structure from motion (SfM) algorithm in Python using Scikit-learn and SciPy, connecting received singal strength indicators (RSSI) and inertial navigation scans into a single localized.
• Reduced construction time from 1 week to less than 24 hours by consolidating inertial navigation and RSSI data to synchronized timestamps using the Pandas library, shrinking scans to 1% of their original sizes.
• Established a plan for incremental learning using integration with existing vendor mobile apps for crowdsourced data collection.

Orlando, Florida, United States

• Undergraduate Researcher for the Real-Time and Intelligent System laboratory under Dr. Zhishan Guo:https://www.ece.ucf.edu/~zsguo/rtis.html
• Led a 2-person team investigating the ability of real-time object detection models to detect traffic signs in sun glare. Studied how to detect sun glare, remove sun glare, and improve existing object detection.
• Published a paper to IEEE Transactions on Intelligent Transportation demonstrating a 22.9% improvement in mean average precision (mAP) for traffic sign detection in sun glare conditions by supplementing existing.
• Developed a novel sun glare detection algorithm using connected component analysis and shape matching using OpenCV and trained a specialized U-Net model for removing sun glare from dashcam footage.
• Organized wo week-long summer training camps for two groups of 4 local high school students, giving hands-on demonstrations and education on the autonomous vehicle research process.

Master'S Degree, Computer Science

Bachelor Of Science - Bs, Computer Science, Senior

Activities and Societies: Secretary of AI@UCF, Knight Hacks, VR Knights, UCF Data Science Club, Google Student Developer Club GPA: 4.0.