About Me
I help teams untangle complexity in software systems—whether it's modernizing aging platforms, scaling new cloud-native solutions, or explaining technical decisions in high-stakes legal cases.
After two decades building distributed systems with .NET, C#, and Azure, I’ve shifted from full-time execution to strategic impact. Today, I work as a fractional architect, technology advisor, and software expert witness, offering focused expertise exactly when and where it's needed.
I work with companies navigating change—platform rewrites, cloud transitions, or critical architecture decisions. I also support legal teams and litigators with technical assessments, codebase analysis, and expert opinions in software-related litigation.
Full Name
Christopher Woodruff
Email Address
chris@woodruff.dev
Phone
+1 616.724.6885
services
Essential Services
Bring seasoned architectural strategy to your team when you need it most, from roadmap to execution.
High-impact technical leadership—without the full-time overhea
Ongoing architecture support, available when your team needs clarity, feedback, or direction.
Trusted guidance on call—because tech challenges don’t follow a schedule
I lead and execute focused architecture and modernization efforts with start-to-finish accountability.
Clear deliverables, defined outcomes, real momentum
Unbiased, expert analysis of software systems for litigation, IP disputes, and contract breakdowns.
When code is on trial, I help make the technical case clear
I advise leadership teams on platform evolution, scaling, technical risk, and innovation.
Strategic tech insight where it matters most—at the decision table
Fast, focused sessions to resolve architecture questions, performance issues, or critical forks in the road.
One hour. One problem. Real answers
testimonials
Users Feedback
“I had the pleasure of working with Chris on several projects for one of our key clients. Chris is a true professional. His technical skills are expert level. Chris is a strong team lead who goes above and beyond to ensure his team's success. Chris is highly sought after by industry experts and is in high demand. If you have an opportunity to leverage Chris in your organization, I would highly recommend him.”
Natalie Greenwood / Global Senior Director of Advisory Services
“ User feedback is qualitative & quantitative data from customers on their likes, dislikes ”
Ted Neward / Architect/Leader
“ Impressions, and requests about a product. Collecting and making sense of user feedback is critical. ”
Dekson P. Pablo / CEO At Brator
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Any Project On Mind
Whether in the boardroom or the courtroom, I bring clarity to complex software challenges—and help people make better decisions through better understanding.
Let’s work together to solve what’s slowing you down.
Address : Wyoming, MI 4941
Phone : +1 616.724.6885
Email : chris@woodruff.dev
news
Blog & Insights
Genetic Algorithms
Day 27: Logging and Monitoring Genetic Progress Over Generations
As your genetic algorithms become more sophisticated, it's no longer enough to simply observe the final output. Monitoring the evolutionary process in real time provides critical insight into convergence behavior, mutation impacts, and solution quality. Logging and monitoring allow you to diagnose p...
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Genetic Algorithms
Day 26: Running GAs in the Cloud with Azure Batch or Functions
As your genetic algorithm workloads grow in complexity, compute-intensive tasks like evaluating large populations or running many generations can exceed what a single machine can handle efficiently. To address this, cloud platforms such as Microsoft Azure offer scalable execution environments where ...
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Genetic Algorithms
Day 25: Scaling Up: Parallelizing Genetic Algorithms Loops in .NET with Parallel.ForEach
As problem complexity grows, so does the cost of evaluating and evolving populations in genetic algorithms. When each individual's fitness computation becomes expensive or the population size increases substantially, runtime performance can become a serious bottleneck. Fortunately, .NET makes it eas...
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Genetic Algorithms
Day 24: Combining Genetic Algorithms with Hill Climbing: The Hybrid Memetic Approach
Traditional genetic algorithms (GAs) excel at global exploration across large search spaces. However, they can struggle to fine-tune solutions with high precision due to their stochastic nature. On the other hand, local search techniques like hill climbing are good at refining individual solutions b...
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Genetic Algorithms
Day 23: Introduction to Non-dominated Sorting Genetic Algorithm II (NSGA-II) in C#
As we extend our use of genetic algorithms (GAs) beyond single-objective problems, we enter the realm of multi-objective optimization, where trade-offs must be made between competing goals. The Non-dominated Sorting Genetic Algorithm II (NSGA-II) is one of the most widely used algorithms for solving...
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Genetic Algorithms
Day 22: Multi-Objective Optimization: When One Fitness Function Isn’t Enough
In many real-world problems, a single fitness function is insufficient to capture the complexity of the solution space. Applications in engineering, logistics, finance, and machine learning often involve trade-offs among competing objectives. For example, minimizing cost while maximizing performance...
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