• Architected a scalable API ecosystem: Built microservices infrastructure with Traefik and Kong, supporting GraphQL, REST, and WebSocket protocols. Deployed on Azure with Dockerized services, achieving sub-100ms response times.• Developed mobile content syncing tool: Created an on-device OCR tool with YOLO and ONNX, improving model accuracy by 20% and growing datasets by 25% monthly via automated labeling pipelines.• Engineered task-driven pipelines: Designed pipelines with RabbitMQ, processing 10,000+ scene data points and reducing task execution time by 30%.• Streamlined annotation workflows: Built tools for data labeling, reducing manual efforts by 50% and accelerating dataset creation for model training.• Automated ML pipelines: Developed CI/CD workflows with GitHub Actions and MLflow, reducing retraining cycles by 40% and ensuring seamless updates to production models.

• Optimized training efficiency for generative models: Integrated stable diffusion models for tasks like text-to-image generation, ControlNet, and LoRA mixins, leveraging distributed training on CUDA/MPS hardware. Achieved a 40% reduction in fine-tuning time by implementing low-rank adaptation (LoRA) techniques and optimizing GPU utilization across the pipeline.• Designed a scalable distributed training system: Architected a distributed system to fine-tune and train PyTorch models across CUDA and MPS hardware, enabling seamless scaling across 100+ nodes.• Enhanced real-time user experience: Implemented asynchronous updates to optimize real-time image previews and progress tracking, improving user feedback latency by 50%.• Led full-stack development: Built a robust ecosystem including a React-based frontend for user registration, hardware staking, and real-time progress monitoring, integrated with a Django/GraphQL backend for inference, training, and dataset management.• Streamlined backend operations: Orchestrated backend workflows using Celery and RabbitMQ, reducing task processing latency by 35% while supporting billing, email generation, and hardware health checks.• Enabled community engagement: Designed a frontend platform that showcased over 10,000+ community-generated art pieces, driving user engagement and boosting signups by 25%.• Deployed on AWS for scalability: Managed end-to-end deployment of a cloud-based architecture, achieving 99.9% system uptime while supporting thousands of concurrent inference and training jobs.• Pioneered hardware staking innovation: Engineered a Python daemon to manage inference/training jobs on user-staked hardware, implementing a health check system to ensure reliability and uptime.

• Built a GraphQL API in Hack/PHP to automate branded content creation• Led product meetings to build out specifications for branded content platform• Onboarded teammates onto branded content pipeline• Designed test suite for ML pipeline

TENNLab - https://neuromorphic.eecs.utk.edu/• Designed simulations that are used for training and testing neuromorphic algorithms• Implemented shell scripts for parameter selection in training and for unit testing the framework• Built a parse engine to convert TENNLab based spiking neural networks (SNNs) into usable networks on Intel's Loihi chip• Documented software for usage and future development purposes

CS465/565 - Databases/Scripting Languages (Spring 2020)CS302 - Data Structures & Algorithms II (Fall 2019, Fall 2020)CS140 - Data Structures & Algorithms I (Spring 2020)• Held weekly office hours to help students with labs and course concepts• Lead weekly lab sessions to breakdown the labs and offer additional assistance• Graded homework, labs, and exams in coordination with other teaching assistants

Built a REST API to automate audits:• Interacted with over 50 million points of data stored in a Cassandra database• Designed queries to provide audits in near real time• Developed the API using Java, Spring Boot, and Postman

Pothole management system used by 30+ employees within Knoxville Public Services• Co-develop mobile and web applications that automated work orders and routing for potholes• Organize meetings with clients to generate product deliverables and deliver consumer needs• Features: routing potholes within the city, generating and managing work orders, and designing a dashboard