# Prangon Ghose > Sr. Software Engineer at Lockheed Martin Space | CS at Georgia Tech Location: United States, United States Profile: https://flows.cv/prangon I love to solve problems. I think engineers have a mission to advance human-centered technology. My goal is to build meaningful software that will improve our daily lives. Currently, I am a Senior Software Engineer at Lockheed Martin Space, where I get to bring my mission focus to building space systems that enable human advancement on Earth. I am experienced with backend (e.g. Java/Python/C++), DevOps (e.g. CI/CD, Kubernetes), and frontend (e.g. React/JavaScript). Outside of the office, I am constantly learning. I recently graduated with an MS in Computer Science from Georgia Tech. In my free time, I love to read, watch anime, and travel. I want to one day travel to all seven continents (current score: 2/7). I enjoy meeting new people and hearing new perspectives. Reach out if you want to talk to me about emerging tech, creating software products, or anime. ## Work Experience ### Senior Software Engineer | Space @ Lockheed Martin Jan 2024 – Present | New York, New York, United States Lockheed Martin is a global security and aerospace company that connects customers with integrated solutions & predictive technologies to ensure they stay ahead of emerging threats. Program: OPTICS (Jan 2025 - Present) - 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 Program: Astrolabe (Sep 2024 - Jan 2025) - Developed software products to efficiently use and commercialize satellite communication resources - Optimized AWS cloud resource use to reduce development costs Program: SMO (May 2024 - Sep 2024) - 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 Program: SGS-1 IOC (Jul 2021 - Feb 2025) - Led development and delivery of a network operations center product for a multi-million dollar satellite ground system ### Software Engineer | Space @ Lockheed Martin Jan 2022 – Jan 2024 | New York, New York, United States Program: SGS-1 IOC - 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 ### Software Engineer Associate | Space @ Lockheed Martin Jan 2021 – Jan 2022 | Rockville, Maryland, United States Program: SGS-1 IOC - 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 ### IoT Data Analyst @ Enertiv Jan 2020 – Jan 2021 | New York, New York, United States Enertiv is a connected SaaS platform that brings together modern software tools to digitize operations and provide real-time visibility into the performance of critical infrastructure for commercial real estate portfolios. - 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 ## Education ### Master of Science - MS in Computer Science Georgia Institute of Technology ### Bachelor of Engineering - BE in Computer Engineering Stony Brook University ### Advanced Regents Diploma with Honors Stuyvesant High School ## Contact & Social - LinkedIn: https://linkedin.com/in/prangonghose - Website: https://prangonghose.com/ --- Source: https://flows.cv/prangon JSON Resume: https://flows.cv/prangon/resume.json Last updated: 2026-03-22