About
Software Engineer passionate about cloud-native development, open-source contributions, and data-driven solutions. Recognized as an MLH Top 50 Hacker of 2022 with experience spanning Fortune 100 companies, healthcare, research, and open-source ecosystems. Driven by problem-solving and innovation, with proven impact across large-scale migrations, cost optimization, and real-time data systems.
Experience
Oct 2023 - Present Software Engineer II · John Deere
- Built and maintained services aimed at bringing 10% in recurring revenue ($5 billion) by 2030 through sale of licenses for machine equipment via John Deere Operations Center.
- Contributed customer-facing functionality, including UI to order licenses, flow to confirm license requirements, and storage of assignments.
- Deployed services generating ~500 embedded license files per day, delivered OTA, encoded with Protocol Buffers, and signed with Symmetric-Key Infrastructure (SKI).
- Performed on-call duties to resolve dealer licensing issues, fixing production code in real time, monitoring incidents via observability tools, and maintaining SLO compliance.
- Led observability efforts that reduced Mean Time To Recovery by 30% according to ServiceNOW ticket data.
Jan 2023 - Oct 2023 Software Engineer · John Deere
- Built a cost distribution model of $10,000 in monthly cloud resource charges with Python, Terraform, and GitHub Actions—saving 5% support time and freeing budget for tooling.
- Engineered an email notification system to engage 370 engineers about Kubernetes resources and outages, reducing downtime.
- Led migration of 20TB data from ElasticSearch to OpenSearch for production workloads, ensuring seamless transition with zero disruption.
- Developed a GitHub Action alerting workflow latency through Microsoft Teams, boosting developer productivity with immediate feedback.
May 2022 - Aug 2022 Machine Learning Intern · Northwestern Medicine
- Integrated Transformer-based NLP models into ECG datasets for clinically accurate analysis.
- Developed React web interfaces for clinicians to interact with ML predictions.
- Automated data workflows supporting Power BI dashboards for healthcare reporting.
Jan 2022 - Apr 2022 Software Engineering Fellow · Major League Hacking
- Contributed to Facebook Research’s LabGraph real-time sensor data framework.
- Built LabGraph Monitor to visualize streaming between nodes and groups.
- Automated Python documentation deployment with GitHub Pages using GitHub Actions.
Sep 2021 - Dec 2021 Open-Source Fellow · Major League Hacking
- Enhanced BentoML for production ML deployment with request batching and APIs.
- Extended CLI for deployments to Heroku, GCP Cloud Run, and Compute Engine.
- Won a Hackathon leveraging BentoML, Flask, and React.
Jun 2021 - Aug 2021 Research Assistant · Stanford University
- Developed statistical interface for amino acid control with CNNs.
- Redesigned protein sequence design with Graph Neural Networks, improving initialization speed by 300%.
- Presented results at RosettaCON 2021 Protein Design Conference.
Education
Aug 2023 - Dec 2025 (Expected) University of Illinois Urbana-Champaign
Master of Science in Computer Science
Aug 2019 - May 2023 University of Illinois Springfield
Bachelor of Science in Computer Science
Skills
- TypeScript
- Python
- Node.js
- SQL / NoSQL
- Protobuf
- AWS (ECS, Lambda, S3, DynamoDB, SQS, SNS, KFH, CloudWatch)
- Kubernetes
- Docker
- Terraform
- GitHub Actions
- Helm
- Datadog
- Elasticsearch / OpenSearch
- Machine Learning (PyTorch, HuggingFace, AssemblyAI)
- Data Visualization
- Unix / Git
Certifications
- Java (Basic) Certificate
- IBM Data Science Specialization
- Problem Solving (Intermediate) Certificate
- Responsible Conduct of Research for Engineers
- Introduction to Data Science in Python
Achievements
- MLH Top 50 Hacker of 2022
- 2nd Place at the University of Iowa Hackathon
- OperatorAI Hackathon Winner ($5K, judged by GitHub and YC founders)