• Developing a Flutter, iOS/Android mobile vocal coaching application gamifying ear, sight, and rhythm training up to the college level, engineering digital signal processing utilities, SQL databases, and interactive UIs.• Orchestrating DevOps workflow by maintaining the Jira sprint planning/issue tracking dashboard, and constructing, validating, and monitoring the GitLab CI/CD infrastructure.• Implemented pipeline comprising a custom microphone data acquisition utility, dynamic Butterworth frequency filter, MFCC computation module, and a time-domain pitch estimation algorithm achieving 99.74% accuracy on preliminary singing data, optimizing the latency of the latter by 13x using FFT and convolutional operations.

• Designed a C++/Python neurosurgical planning utility to predict outcomes of MR-guided FUS thalamotomy in patients with medically intractable essential tremor by extrapolating functional dynamics from fMRI/DTI using The Virtual Brain, winning a cash symposium award for Best Presentation in Biomedical Imaging.• Performed collaborative, ASP.NET MVC development for a next-generation breast/prostate cancer prognostic system for the Arnie Charbonneau Cancer Institute, preparing web UIs, API controller business logic, and a Microsoft SQL Server.• Designed a cloud-based ERP solution using Azure Cognitive Services and GPT-3.5 to synthesize/analyze heterogeneous data distributed across an in-house technical literature corpus, a centralized relational database, and a live datastream.• Implemented a complete, non-steady-state fluid mass balance simulator using p5.js, featuring an interactive web GUI and ab initio mathematical algorithm, capable of simulating the equilibration of a four-reservoir system of 4.5 million liters within 7.33 seconds.• Implemented a geothermal drilling optimizer applying SHAP to Python RF and LSTM predictive models, successfully isolating the top four drilling rate controlling factors from historical data.• Developed an interactive color thresholder in Java to automate the segmentation of collagenous/adipose infiltration of histology slides under digital microscopy, conducting verification testing using a suite of 200+ lapine paraspinal muscle tissue samples.

• Implemented a complete, ASP.NET MVC application featuring an Angular UI, web API, MySQL database, and a 94.87% accurate CNN-based utility for the detection, skeletonization, and type/severity classification of road pavement cracks using Python OpenCV, PIL, TensorFlow/Keras, and ResNet50.• Independently authored a 79-page ISO/IEC/IEEE 29148:2018 compliant SRS document to delineate business objectives, system design constraints, UML execution architecture layouts, and V&V activities.

• Developed and reviewed educational materials for ENGG 201 (Behavior of Liquids, Gases and Solids) and ENGG 319 (Probability and Statistics for Engineers).