Develop software products for satellite mission management

Orchestrate the team's scrum practices and engage with stakeholders to launch features

Launch external-facing API to demonstrate capabilities for customers

Deploy apps across multiple Kubernetes environments using ArgoCD

Developed software products to efficiently use and commercialize satellite communication resources

Optimized AWS cloud resource use to reduce development costs

Developed software products for space mesh network orchestration

Launched new capabilities to visualize satellite constellations in 3D using Cesium

Improved productization and reduced level 3 support needs by revamping training materials using in-depth API documentation, code templates and demonstrations

Led development and delivery of a network operations center product for a multi-million dollar satellite ground system

Led full-stack development and software delivery using Java, React/Node.js, and GitLab CI/CD for a $XXM program

Refactored the React and Node.js web app, significantly improving UI performance and stability

Delivered 6 major and 9 minor releases on time by coordinating development, testing, and verification with a cross-functional team

Reduced Kubernetes pods' memory usage by 50% by optimizing resource limits

Improved software delivery efficiency by 30% by automating manual deployment steps on Kubernetes clusters using Gitlab CI/CD

Liaise with program leadership, delivering guidance on risk assessment, establishing a release cadence, and organizing release validation

Provide level 2 and 3 support for the program's software infrastructure, coordinating a team of 5+ developers and maintaining a 1-3 day mean-time-to-repair for critical defects

Defined instructions and documentation for level 1 and level 2 support staff to maintain a satellite network operations center

Developed 12 Java microservices for satellite command and control using Spring Boot, implementing a RESTful API, deploying a message broker, and integrating a relational database

Launched the program's first Kubernetes clusters, prototyping installation and configuration using Rancher, Helm, and Docker

Scaled deployments by 4x on cloud and on-prem servers through Bash scripts for automated installation and Gitlab CI/CD for automated software delivery

Increased query performance by 90% by developing custom SQL queries for Spring JPA and redesigning the database schema

Expanded test coverage by 25-30% across 5 Java microservices using JUnit and Postman

Troubleshot 25+ high-severity bugs by triaging defects, documenting reproduction steps, and coordinating 6+ developers to implement bug fixes

Facilitated daily scrum meetings for a team of 10+ engineers, resolving design issues and assessing project progress

Triaged 25+ vulnerabilities and resolved 100% of identified critical issues by tracking and communicating code quality and code security using SonarQube

Drove improvements in CI/CD, automated testing, and REST APIs by presenting modern tools and processes to external and internal stakeholders

Learned data preprocessing, data visualization, ML, and NLP concepts in Lockheed Martin's AI/ML Fundamentals Program

Expanded Enertiv's sensor portfolio by 2x and launched 7 new Internet-of-Things (IoT) packages by integrating 16 sensor data streams using Python

Spearheaded Enertiv's first-ever IoT deployment in Europe, developing documentation to install 5 IoT packages, verifying sensor data, and diagnosing installation issues

Decreased installation times by 10-15% by developing a Django web app to capture site data

Reduced Project Engineers' time on site surveys by 30-40% by launching a Django web app to outsource site survey verification

Captured 4 new data types from a Linux-based smart energy meter by implementing firmware in Python on a Raspberry Pi to improve energy consumption accuracy

Introduced a new inventory management system using Enterprise Resource Planning (ERP) software to manage over 250 SKUs, saving 10+ hours of manual work every month

Increased the cost performance and schedule variance by 5-10% by negotiating with third-party vendors to outsource surveys, installations, and maintenance

Lessened scoping errors by 10-15% and production delays by 5-10% by revamping project scoping tools using Excel, integrating new inventory management processes, and centralizing key metrics

Accelerated service tickets' time to resolution by 15-20% by documenting the sensor integration and maintenance processes