Okay so, you're here because you're curious about how machine learning or data science could actually help your business. Maybe you've got a pile of data and no idea what to do with it, or a process that just screams for some automation. That's kinda my sweet spot. I'm not gonna sell you on a massive, year-long project right out of the gate. My goal is usually to find a specific, impactful problem you're facing and see if AI can solve it, quickly and affordably. I've been doing this a while, and I've learned that starting small, proving value, and then expanding is almost always the way to go, especially for businesses here in San Francisco.
## What I actually do for San Francisco clients
When I work with businesses in San Francisco, it's usually about making sense of their data or automating something tedious. Think predictive analytics to forecast sales, optimizing pricing strategies based on market trends, or building custom recommendation engines for e-commerce. I've helped companies clean up messy datasets, extract valuable insights, and then turn those insights into actionable models that actually perform. It's less about abstract theories and more about getting a specific model deployed and working for you, generating real results.
Another common project involves automating tasks that eat up a lot of time. This could be anything from classifying customer support tickets, detecting anomalies in financial transactions, or even streamlining inventory management. My focus is always on practical applications that can give your San Francisco business a tangible advantage, whether that's saving money, making better decisions, or finding new revenue streams. I build custom solutions, not just off-the-shelf stuff, because every business is a little different, especially in a diverse market like California.
## How a San Francisco engagement usually goes
Here's a rough idea of what it looks like when we work together:
1. **Discovery Call (1 week):** We'll hop on a quick call, you tell me about your business and what problems you're trying to solve. I'll ask a lot of questions to understand your data, your goals, and whether machine learning is even the right tool. If it's not, I'll tell you honestly. No charge for this, of course.
2. **Project Proposal & Data Assessment (2-3 weeks):** If we both think there's a good fit, I'll put together a detailed proposal outlining the project scope, expected outcomes, timelines, and costs. I'll also need to get a look at some of your actual data (securely, of course) to make sure it's usable and to refine my approach. This helps avoid surprises down the road.
3. **Development & Iteration (4-8 weeks):** This is where I build the model or solution. I work iteratively, meaning I'll share progress regularly, get your feedback, and make adjustments. It's a collaborative process, not a black box. My goal is to deliver a working prototype or a production-ready model that addresses your specific need.
4. **Deployment & Handoff (1-2 weeks):** Once the solution is built and tested, I help you deploy it into your existing systems. I also provide documentation and, if needed, some training so your team can maintain and use it effectively. I'm not just gonna drop it on you and disappear; I want to make sure you're comfortable and confident with the new tool.
## What it costs, roughly
I offer project-based fixed fees for most engagements. This way, you know exactly what you're paying upfront, no surprises. For a typical pilot project – something that solves a specific problem and proves value – you're probably looking at a range that starts in the low five figures and goes up from there, depending on complexity and data availability. It's not cheap, but I aim for a clear return on your investment. I'm not charging Silicon Valley rates, but I also provide a high level of expertise and direct communication you won't always find with larger firms.
## Who I'm usually NOT a fit for
I'm not the guy for massive, multi-year, multi-million dollar digital transformation initiatives. If you're a Fortune 500 company looking to hire a team of 20 data scientists, I'm probably not your guy. I also don't do basic website development or general IT support. My expertise is pretty focused on machine learning, predictive modeling, and data-driven automation. If you're looking for someone to just 'do AI' without a clear problem definition, I'll likely push back, because I only take on projects where I genuinely believe I can deliver tangible results. My goal is to help real businesses in places like San Francisco, not just chase buzzwords.
## Getting in touch
If any of this resonates and you're a San Francisco business owner or leader who's got a specific challenge you think machine learning or data science might solve, I'd genuinely like to hear from you. No pressure, just a straightforward chat to see if there's a fit. You can easily book a 20-min call right on my website. I look forward to connecting.
FAQs — San Francisco
How do I know if Machine Learning is worth it for my San Francisco business?
The best way to tell is if you have a specific, recurring problem that involves a lot of data or manual decision-making. If you're making educated guesses when you could be using data, or spending hours on repetitive tasks, it's probably worth exploring.
Do you only work with companies in San Francisco?
No, I work with businesses across the U.S. and even internationally, but I make sure to tailor my communication and examples to local contexts like San Francisco when relevant. My services are remote-first, making it easy to collaborate no matter where you are.
What does the first 2 weeks of an engagement look like?
After an initial discovery call, the first 2 weeks typically involve a deeper dive into your existing data and systems. I'll refine the project scope, set up secure access if needed, and lay out a clear plan for the first phase of development.
What if my data isn't perfectly clean or organized?
That's completely normal, actually. Most real-world data isn't perfect. Part of my job is to clean, process, and prepare your data so it can be effectively used for machine learning models. We'll assess its usability during the initial phases.
Can you integrate the AI solution with my existing software?
Yes, integration is a crucial part of the process. I aim to build solutions that fit seamlessly into your current workflows and software stack, whether that's through APIs, custom scripts, or other deployment methods, so your San Francisco business can actually use it.