- Designed and deployed machine learning pipeline for two tower recommender system with DLRM ranking on Google Cloud- Implemented several generative AI features, using structured output, multi-agent solutions, and direct preference optimization- 0 to 1 full stack development of generative AI-powered social mobile app with CI/CD

- Built mobile apps for a social platform, habit tracker, and an AI note taking assistant as a contractor for 3 different early stage startups- Developed a recommendation system, Generative AI features, cloud architecture design, and other multi-faceted features

1. Developed internal mobile applications for intuitive, use-case-driven team collaboration. 2. Lead team of 3 in Unreal Engine Developer for radiative heat transfer simulation, leading project planning, design and prototyping, and testing3. Simulated vehicle missile-launchers, smoke, and missile in Unreal Engine utilizing Infinity Studios’ radiometry and defense plugins for DoD contract4. Trained and leveraged GAN to create training data from Unreal Engine simulated imagery for vehicle missile-launcher CNN-based AI perception model in the IR and visible spectrum (DoD contract)5. Integrated smoke rendering radiometry into OpenGL shaders for in-house DoD simulation

- Used PLC fault data to encode faults in Python script for maintenance dispatch across Ignition HMI/SCADA screens across factory- Updated electrical drawings in AutoCAD to accomodate automation of a robot-conveyor system- Designed and mechanically installed photoelectric sensor system for tracking location of items along conveyor (memoryless system)- Calibrated Sensopart Visor cameras for barcode reading and validation through MES- Compiled conveyor motor, plug, and receptacle data for design of control panel for service/maintenance truck- Development with Unity software for mobile equipment training simulation- Practiced applications of neural networks in game environments

Migrated 4000 reports from legacy software (IBM Cognos) to new software (OBIEE). Migrated 2 Aerospace Microsoft SharePoint sites to avoid database memory caps, while maintaining site functionality. Spearheaded a plan for implementation of sales order automation AI software to reduce manpower need for sales processing.

Partook in research with artificial intelligence, focusing on machine learning. Specifically investigated algorithms behind convolutional neural networks in deep learning, and the latest applications of such methodology in the medical, business, and business-to-consumer industries. Participated in a project aimed at reducing cycle time for mass picture processing using machine learning.