Engineering Portfolio
Engineering systems
for real-world constraints
and reliable execution
A portfolio of engineering infrastructure, remote workflows, reverse engineering, and technical implementation shaped by operational constraints, system trade-offs, and practical execution.
Selected Work
Systems, workflows, and engineering delivery
A focused set of projects spanning infrastructure design, remote engineering workflows, reverse engineering, and technical implementation under real operational constraints.
Flagship Projects
Core case studies in systems design and engineering delivery
These projects carry the strongest signal for architecture, implementation reasoning, and technical trade-offs under uncertain operating conditions.
Flagship Case Study
Low-Latency Remote Engineering Environment
Designed a low-latency remote CAD workflow by decoupling secure connectivity from interactive performance layers.
Context: Early remote PDM testing exposed a structural workflow issue: engineering files opened acceptably over LAN, but remote access introduced 15–20 seconds of delay before fetch even began, followed by normal SolidWorks load time. The result was that remote engineering work became frustrating enough that the team continued using Dropbox-based file sharing despite known revision-control problems.
Flagship Case Study
Virtualized Engineering Infrastructure for Scalable Workflows
Designed a flexible engineering infrastructure around Proxmox to support PDM, service isolation, multi-OS expansion, and controlled backups under tight budget and organizational constraints.
Context: The existing engineering environment relied on shared Dropbox folders, inconsistent file discipline, and no authoritative system for revision control. This worked tolerably with very small teams, but broke down as more engineers became involved: users lost track of valid revisions, older files were mistaken for current ones, and missing uploads introduced uncertainty into day-to-day engineering work.
Supporting Projects
Additional implementation work and applied technical studies
Supporting projects show adjacent capabilities in data management, reverse engineering, network architecture, and technical systems, while remaining visually secondary to the flagship work.
Reverse Engineering
Functional Reconstruction of Oil Filter Cover
Reconstructed a functional oil filter cover for an older military vehicle using a hybrid scan-to-CAD workflow, combining incomplete scan data with manual measurement and engineering judgment to produce a manufacturable design.
Engineering Systems
Engineering Data Management Transition Using SolidWorks PDM
Transitioned from uncontrolled file-based engineering workflows to a structured data management system using SolidWorks PDM, introducing centralized revision control, network licensing, and infrastructure-aligned storage and backup systems.
Capabilities
Capabilities across systems, workflows, and infrastructure
Work spanning reverse engineering, CAD workflows, and engineering infrastructure, focused on systems that remain usable, maintainable, and reliable under real constraints.
Reverse Engineering & Geometry Reconstruction
Reconstructing physical parts into usable engineering geometry, applying precision where it matters and avoiding unnecessary complexity.
- Structured-light 3D scanning workflows
- Hybrid scan and manual measurement strategies
- Scan-to-CAD reconstruction
- Handling inaccessible and complex features
- Engineering-ready model generation
In Practice
Rebuilding usable CAD models from incomplete physical parts by combining scan data with manual measurement where critical features cannot be captured directly.
Engineering Systems & Infrastructure
Designing engineering environments that support execution, scalability, and maintainability rather than isolated tools or short-term fixes.
- Proxmox-based virtualized environments
- Service separation using VMs and containers
- Remote CAD and distributed workflows
- System architecture and scalability planning
- Integration of engineering tools into coherent systems
In Practice
Restructuring a monolithic setup into a virtualized architecture supporting CAD workflows, internal services, monitoring, and backup systems.
Digital Manufacturing & CAD Workflows
Developing workflows that translate design intent into usable engineering data without overcomplicating downstream manufacturing work.
- CAD modeling and reconstruction
- Preparation of manufacturing-ready geometry
- Workflow design for repeatable processes
- Validation of geometry and assumptions
- Iteration under real engineering constraints
In Practice
Using scan-derived references and reconstructed CAD models to produce cleaner, lighter, and more usable engineering data than raw scan meshes alone.
Workflow Optimization & Automation
Improving engineering workflows by reducing bottlenecks, simplifying repeated steps, and structuring systems for long-term usability.
- Identifying workflow bottlenecks
- Automation of repetitive technical tasks
- Balancing speed versus precision
- Iterative system improvement
- Designing for usability and maintainability
In Practice
Reducing latency in remote CAD workflows by replacing high-overhead VPN routing with a lower-latency peer-to-peer networking approach.
About
Engineering through structure and constraints
My work focuses on engineering problems that require more than a single tool or isolated fix. It spans reverse engineering, CAD reconstruction, manufacturing workflows, and the systems that make technical work reliable and usable in practice.
I work best where the problem is messy, constrained, or treated as too complex. In many cases, the issue is not that the problem is unsolvable, but that it has not yet been structured correctly. My approach is to break complexity into clear layers, identify where precision matters, and build around real operating conditions.
That means combining physical and digital methods when needed, applying complexity deliberately rather than automatically, and building workflows and systems that hold up under real use.
Operating Range
Reverse engineering, workflow design, engineering infrastructure, and technical systems that support execution.
Core Principle
Apply complexity where risk demands it, and simplicity where it improves clarity, maintainability, and speed.
Collaboration
Need to structure or implement a complex engineering system?
The work presented here focuses on engineering problems that are unclear, constrained, or difficult to execute in practice. This includes reverse engineering, workflow design, infrastructure, and technical systems that need to operate reliably in real environments.
If the challenge involves missing data, fragile workflows, remote engineering limitations, or systems that need a more structured foundation, this is where I can contribute.
Typical Scenarios
- Missing or incomplete CAD data
- Inefficient engineering workflows
- Remote CAD systems limited by latency
- Infrastructure that does not scale with growth
What I Bring
- Structured problem breakdown
- System-level thinking
- Practical implementation
- Usable, maintainable outcomes