Robert – Python, React, AWS

Exploring a novel approach to representing and analyzing complex operational scenarios by encoding them as structured graph models, enabling advanced simulation, anomaly detection, and decision support.

Designed for defense environments, the system transforms dynamic, multi agent systems into graph representations that can be indexed, embedded, and compared over time, allowing for the identification of deviations from nominal behavior and the evaluation of alternative outcomes.

It is still very much in a research and development phase.

• Researched and implemented novel graph-based encoding methods and techniques;
• Built software to provide visualizations and and interactivity;
• Created agent-based models and structures.

The Scenario Exploration Tool (SET) is a project management platform that lets organizations model, compare, and optimize complex ongoing contracts/programs.

Designed primarily for defense, government, and operation intensive teams, the main goal of SET is to replace static planning tools (spreadsheets) with a dynamic system where users can "branch" active projects into multiple scenarios, adjust variables such as cost, schedule, and resources, and evaluate outcomes.

This introduces a version-control sort of system to project management, allowing teams to safely explore "what if" scenarios to optimize and choose the best path forward.

• Served as Lead Engineer responsible for the design, development, and delivery of the product;
• Architected a scalable, multi-tenant system enabling scenario branching, comparative analysis, and optimization of complex project plans;
• Converted stakeholder and domain expert requirements into feature requests;
• Developed core backend services and APIs (in Python/Django) supporting data ingestion, modeling, and scenario evaluation;
• Designed and implemented frontend interfaces to support visualization and interaction with multi-scenario project data, using charts and data tables;
• Established and maintained infrastructure, including containerization using Docker, orchestration (K8s), and automated CI/CD pipelines;
• Deployed and managed production environments with a focus on system reliability, security, and operational continuity in Azure;
• Enforced software engineering best practices, including code quality, modular design, and maintainability to support long-term scalability using tools like ruff and black formatter.

The project is a cloud-based platform that helps marketers achieve clarity, collaboration, and credibility in marketing management. It offers tools for tracking campaigns, content, and clients, along with real-time data, branded dashboards, and automated reports, enabling easy scaling without needing to start from scratch.

• Extended Django to support multi-tenancy, create components with AI in mind;
• Built workflows for efficient deployment of services, using Kubernetes, Helm, and Github;
• Managed codebase changes and worked closely with stakeholders to ship new features.

The primary goal of this product is to empower users to create low-code and no-code business applications, thereby streamlining day-to-day operations. It is built from the ground up with generative AI in mind, enabling each component to provide context and be utilized by various AI providers.

• Extended base Django to support multi-tenancy;
• Created components from scratch, with gen AI in mind;
• Built workflows to deploy services (CI/CD), using Kubernetes, Helm, and Github Actions;
• Managed codebase changes and worked closely with stakeholders to ship new features.

This project focused on developing efficient CRUD applications for clients while enhancing critical backend platforms. The mission was to establish automated solutions that significantly enhanced platform efficiency. This included implementing CI/CD pipelines and optimizing workflows for better delivery and performance.

• Created dynamic and reactive user interfaces using React and NextJS with Typescript
• Worked with MongoDB, Redis, and Postgres to create data aggregators and pipelines;
• Designed, deployed and configured microservices to create an equity trading system;
• Utilized tools like Prometheus, Grafana, Backstage, Docker, GitLab) for monitoring, deploying and maintaining the system.

Dashboard would use data provided by GPS devices, fetched via API to plot real-time location data onto maps using a Javascript Frontend and Django-based Backend.

• Helped develop the dashboard;
• Worked with team to reduce incorrect plots.