About Me
Software Engineer based in Tucson, AZ with expertise in Backend & Cloud technologies. Passionate about building scalable microservices and optimizing complex systems.
Experience
Komatsu
Software Engineer | Tucson, AZ | February 2023 – Present
- Safeguarded mission-critical mining operations valued at $100k+/hour by engineering a low-latency Kotlin microservice that synchronizes 500+ autonomous trucks, simultaneously cutting external integration time by 50%.
- Achieved sub-second UI latency (previously multi-second) for the Fleet Management System by decoupling the C# adapter from the monolithic core, architecting a non-blocking asynchronous communication pattern for high-volume telemetry.
- Slashed developer onboarding time by 75% (1 month to 1 week) by resurrecting a dormant API project, reverse-engineering legacy code, and establishing a robust Azure CI/CD pipeline that unblocked cross-team feature delivery.
- Accelerated deployment velocity by 60% by architecting a zero-error Docker-based release pipeline with Bash automation, eliminating manual configuration drift for non-technical users.
- Optimized geospatial rendering speed by 20% by integrating GeoServer with PostGIS and restructuring Hibernate/JPA queries to efficiently serve complex map object layers.
- Centralized API security for 100+ daily internal requests by implementing an OAuth2/Keycloak gateway, reducing configuration overhead by 35% while enforcing strict access control policies.
Evernote
Software Engineer Intern | Remote, NY | June 2022 – August 2022
- Shipped the "Repeat After Completion" feature to 50,000+ beta users by architecting complex temporal state management logic in TypeScript/GraphQL to handle dynamic recurring intervals across timezones.
- Deployed a reusable task-filtering component to 200M+ users across Web, Mobile, and Desktop clients, strictly adhering to Figma design specs to ensure uniform UX at global scale.
- Enhanced iOS touch responsiveness for millions of users by refactoring the date-picker state management logic, resolving main-thread blocking issues during high-frequency interactions.
ISRO – Space Applications Center
Research Intern | Ahmedabad, India | December 2020 – April 2021
- Achieved 92% detection accuracy for oceanic eddies by engineering a Python deep learning pipeline (Mask R-CNN, YOLO), utilizing batch processing to analyze terabytes of satellite imagery without memory overflow.
- Converted vague research requirements into precise ML specifications by transforming NetCDF data into Matplotlib visualizations, enabling the model to successfully classify cyclic vs. acyclic water patterns.
Skills
Languages
Kotlin, Java, Python, C#, TypeScript, C++, SQL, Bash
Backend & Cloud
Spring Boot, Node.js, Microservices, RESTful APIs, Docker, Kubernetes, Azure, GCP
DevOps & Tools
CI/CD Pipelines (GitHub Actions, Azure DevOps), Git, Maven, Gradle, Nginx
Data & Security
PostgreSQL, PostGIS, GeoServer, OAuth2, Keycloak, JWT, SAML2, Spring Security
Education
Stony Brook University
Stony Brook, NY | Master of Science in Computer Engineering | December 2022
Certifications: CodePath Professional Android Development (2022)