Alex Turk Email & Phone Number

Santa Clara, California, Us

• Implemented multi-modal 3d object detection model fusing LiDAR and image data for an autonomous UAV for obstacle avoidance• Authored responsible and ethical AI whitepaper highlighting how estimating prediction uncertainty of ML models can be useful for explainability, reliability, transparency, fairness, and more to be submitted to NIST AI Risk Management Framework•Created MLOPs microservice allowing developers to easily train deep learning models using cloud services such as AWS Sagemaker and then optimize them for IoT/Edge devices using OpenVINO toolkit

Melbourne, Florida, Us

• Led internal research and development project to apply machine learning techniques for analyzing large datasets collected from intelligence, surveillance and reconnaissance platforms• Leveraged Graph Convolutional Networks for contextual anomaly detection within graphs containing several million nodes• Implemented Graph Convolutional Network model using Deep Graph Library and PyTorch• Examined the effect of an intervention after anomaly was identified using causal inference• Implemented meta-learning model using causalML to find conditional average treatment effect of an intervention• Surveyed state-of-the-art machine learning techniques in fields such as causal inference, probabilistic graphical models, explainable AI, synthetic data generation, generative adversarial attacks and more

Assen, Drenthe, Nl

• Conducted a feasibility study to build a deep-learning computer-vision based model for breast cancer diagnosis to be deployed in developing countries as part of a grant application• Successfully received grant funding from Ministry of Economic Affairs and Climate Policyof the Netherlands to construct above deep-learning model duein part to thorough research review conducted of AI in healthcare industry• Conducted systematic review to show deep learning models could match diagnostic performance of physicians in breast cancer cytology• Explained how a GAN can be used to generate synthetic images from minority class to improve generalizationperformance with imbalanced data sets• Placed in the top three teams at an AI in healthcare hackathon while training a deep-learning model using TensorFlow and Keras on the NIH chest X-Ray image dataset• Worked as a teaching assistant in a week-long Artificial Intelligence workshop for students and professionals

Melbourne, Florida, Us

• Developed web applications for a global weapons system using Spring MVC framework• Conducted Linux server hardening according to DoD security compliance standards as specified by the NIST and NSA• Automated Linux server hardening to reduce the time which web servers were offline by more than 50%• Led quarterly software delivery which included an array of cybersecurity enhancements andsoftware upgrades• Worked in full stack web development on a weapons system in Spring MVC framework withproficiency in HTML, JS, SQL, Java, and C++• Conducted security testing for airborne SIGINT System

• Tutored high school students in a variety of subjects ranging from Algebra I through Calculus, Chemistry, Biology and Physics at regular and AP levels • Gave test prep for college entrance exams including SAT and ACT.

Rockwall, Tx, Us

• Showed real estate agents on how social media can strengthen their brand andcan be a powerful tool to increase their visibility within their target community • Used social media marketing to pinpoint advertising to specific demographics most likely to purchase a home.