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 32: When Genetic Algorithms Go Wrong: Debugging Poor Performance and Premature Convergence
Even well-written Genetic Algorithms can fail. You might see little improvement over generations, results clustering around poor solutions, or a complete stall in progress. These symptoms often point to premature convergence, loss of genetic diversity, or flaws in selection and fitness evaluation. D...
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Genetic Algorithms
Day 31: Best Practices for Tuning Genetic Algorithm Parameters
Genetic Algorithms (GAs) are flexible and powerful tools for solving optimization problems. However, their effectiveness relies heavily on the correct tuning of parameters. Population size, mutation rate, crossover rate, selection pressure, and generation limits all affect convergence, solution qual...
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Genetic Algorithms
Day 30: Unit Testing Your Evolution: Making Genetic Algorithms Testable and Predictable
Genetic Algorithms are inherently stochastic. Mutation introduces randomness. Crossover combines genes in unpredictable ways. Selection strategies often rely on probabilities. While this is essential to their power, it presents a challenge when it comes to unit testing. How can you reliably test beh...
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Genetic Algorithms
Day 29: Defining Interfaces for Genetic Algorithms Components: Fitness, Selection, and Operators
To build flexible and maintainable genetic algorithm solutions in C#, a modular architecture is critical. Yesterday, we focused on designing a pluggable GA framework. Today, we take a deeper dive into how to structure the interfaces that allow different GA strategies to be easily swapped, tested, an...
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Genetic Algorithms
Day 28: Building a Pluggable Genetic Algorithms Framework in C#
As you reach the final week of our Genetic Algorithms series, it is time to shift from experimentation to engineering. Instead of writing one-off implementations tailored to specific problems, the focus now turns to creating a flexible and pluggable genetic algorithm (GA) framework. This architectur...
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Genetic Algorithms
Day 27: Logging and Monitoring Genetic Algorthms 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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