Online Resume

Professional Experience

Sierra Nevada Corporation [Full-time]

2025 - Present

Software Engineer III

Englewood, CO

Data Operations Pipeline

Led effort to create data processing pipeline supporting scalable AI/ML systems
Supported new and junior team members in platform understanding and Kubernetes fundamentals
Deployed and integrated services such as Apache Spark and MinIO to facilitate data processing in preparation for CNN training
Automated RKE2 infrastructure deployment using Ansible, reducing redeployment time from multiple hours to under 2 minutes
Created data management strategy for data lakehouse architecture, defining data maturity zones and data isolation mechanisms

High Altitude Balloon Sensor C2 System

Led software effort for interfacing between a custom sensor API and common UCI C2 UI
Worked with multiple teams to ensure system-wide integration
Implemented multi-threaded, high-throughput data processing service in C++ capable of handling 30Hz rates
Integrated with sensor fusion system by converting between coordinate systems and sensor orientation paradigms

UAV C2 System

Developed Adaptive Command and Control System for Unmanned Air Vehicles using C++ and C#
Leveraged multiple messaging standards (UCI and STANAG4586) to provide control capabilities for heterogeneous systems
Collaborated with team of engineers to design service-based architecture complying with MOSA initiatives
Developed data layer service ensuring different message brokers could communicate for larger scale integration

General Dynamics Mission Systems [Full-time]

2020 - 2025

Senior Software Engineer

Remote - Denver, CO

Developed distributed, fault-tolerant backend services written in C++ capable of handling node failures while maintaining high performance
Implemented data ingestion capabilities, aggregating data from distributed data collection agents and ensuring up-to-date data availability
Designed and implemented scalable resource-oriented service APIs, supporting needs of 10+ dependent systems
Created GitLab CI/CD pipelines to automate building, testing, static code analysis, and deployment of backend services

Key-Value Memory Network [Georgia Tech]

2026

Trained Key-Value Memory Network model to perform question answering using supervised learning and attention mechanisms
Prepared data for model training by creating vocabulary, tokenizing text, and creating dense embedded representations using GloVe
Implemented model using PyTorch consisting of embedding layer, multiple batch matrix multiplies, and softmax layer
Trained model using vocabulary containing ~90,000 words, and a backend retrieval database of ~45,000 entries
Achieved testing accuracy of ~82% during training, with roughly similar accuracy against validation set indicating model generalization

NLP Long Short-Term Memory Network [Georgia Tech]

2026

Implemented a Long Short-Term Memory Network (LSTM) language model using Recurrent Neural Network (RNN) fundamentals in PyTorch
Incorporated multiple LSTM cells, a linear layer, and a log softmax layer in the model architecture
Utilized temperature-based multinomial sampling during text continuation generation, ensuring coherent, non-repetitive results
Integrated self-attention capability in the LSTM Decoder, improving response perplexity score from ~500 to ~300