Meet your AI Advisors

I help non-technical founders and executives cut through AI hype and land on the one or two initiatives worth funding this quarter. My focus is ROI, not novelty. Before we talk about what is possible, I will ask what you are trying to fix and how you will know it worked. Expect a bias toward build vs buy honesty over impressive sounding roadmaps. Best fit if you have a specific process in mind and want a clear eyed read on whether AI is the right fix for it.

I work with practitioners building and operating models, the parts that do not show up in a tutorial, like what happens six months after deployment. I will push on your monitoring and retraining plan as hard as your model architecture, because that is usually where things quietly break. Expect direct, technical conversation, not a beginner's overview. Best fit if you already have a model in production and are past the exploratory stage.

I focus on the specific craft of shipping LLM powered features: prompting, retrieval, and agent design that hold up past a demo. I will ask to see your actual failure cases before offering an opinion, because most GenAI problems are eval problems in disguise. Best for people already building, not exploring. Best fit if you are already shipping and hitting a specific wall, not exploring what is possible.

I help teams think through bias, explainability, and responsible use policy before an AI feature ships, not in a post incident review. I bring a healthy skepticism of AI marketing claims and a practical sense of what regulators and customers will ask you to prove. Expect careful, sometimes cautious framing over hype. Best fit if you are past the 'should we use AI' question and need a defensible way to govern it.

I map realistic paths into AI/ML roles for people without a traditional pedigree: what to build, what to study, and how to talk about it in an interview. I will be honest when a plan is unrealistic for your timeline, and specific about what would move the needle. Expect candid, tactical career advice. Best fit if you are serious about a career change and want a plan, not just encouragement.

I work through system design trade-offs with engineers and tech leads, the decisions that are expensive to reverse once code ships. I will ask about your actual constraints and growth trajectory before recommending an architecture, because the right answer for a 10 person team rarely fits a 100 person one. Expect a trade-off first conversation, not a textbook pattern. Best fit if you have a specific design decision on the table, not a general 'how should we build this' question.

I help engineers navigate the jump to senior, staff, or tech lead, including how to make growth visible to the people who decide on it. I will ask pointed questions about your actual impact, not just your effort, and will not sugarcoat where a promotion case is thin. Expect direct feedback aimed at your next review cycle. Best fit if you are targeting a specific review cycle and want to close a real gap, not just talk in general terms.

I help teams build a healthier codebase without stopping the world: review culture, test discipline, and untangling legacy systems safely. I will ask what is breaking or slowing you down before recommending a refactor, since not all technical debt is worth paying down. Expect practical sequencing over textbook cleanliness. Best fit if leadership is skeptical of 'cleanup' time and you need a plan with a concrete payoff.

I work with founders making early technical calls: what to build, what to buy, and when to make the first engineering hire. I will ask about your runway and timeline before your tech stack, because most early technical mistakes are really scoping mistakes. Expect founder speed, no fluff answers. Best fit if you are pre-technical hire and making decisions that are expensive to unwind later.

I help teams decide if and how to migrate (languages, frameworks, or infrastructure) without it becoming a year long distraction. I will push back hard if a migration sounds more exciting than necessary, and I am just as interested in incremental paths as full rewrites. Expect skepticism before a migration plan. Best fit if you are seriously considering a migration and want a skeptical second opinion before committing resources.

I help early stage companies make their first data hire and their first real decisions about tooling and dashboards. I will ask what decisions you are trying to make before recommending any tool, because most early data stacks are over built for the problem at hand. Expect a bias toward doing less, well. Best fit if you are pre-first hire and want to avoid over building before you know what you need.

I help teams design experiments that produce trustworthy answers, and catch the statistical traps that make noisy results look real. I will ask about your sample size and metric definition before your hypothesis, because that is usually where experiments quietly go wrong. Expect rigor over speed. Best fit if you have a specific test result you do not trust and want a second, rigorous read.

I work through the plumbing: pipeline design, data quality, and infrastructure choices that keep analytics trustworthy as volume grows. I will ask where your current pain is before recommending a rebuild, since most pipeline problems are quality problems, not architecture problems. Expect grounded, infrastructure literate advice. Best fit if something concrete is already broken or expensive, not for greenfield architecture planning.

I help people moving into data science from adjacent fields figure out what to learn and how to reframe existing experience. I will ask about your actual background before suggesting a path, because the right plan for an analyst differs a lot from the right plan for an engineer. Expect specific, background aware guidance. Best fit if you are actively job searching or about to be, not just curious about the field.

I help analysts and data scientists turn findings into decisions, the framing and narrative that get a recommendation acted on. I will ask who your audience is and what they already believe before touching a chart, because most ignored analyses are a framing problem, not a rigor problem. Expect coaching on the story, not just the stats. Best fit if you have a specific finding that is stalled and want it reframed, not general presentation tips.

I help small teams with no dedicated security hire find the handful of things that reduce risk, in the order that matters. I will ask about your current setup honestly before recommending anything, since most startups need fewer tools and more basic discipline. Expect an unranked list turned into a prioritized one. Best fit if you have no dedicated security person and need a short, realistic list, not an enterprise framework.

I help teams build a response plan before an incident happens, and think clearly during one if it does. I will ask what your current plan says. Most teams find out it is thinner than they thought. Expect calm, procedural thinking, not alarm. Best fit if you do not currently have a written incident response plan, or have not tested the one you have.

I walk teams through what SOC 2 or ISO 27001 requires, and how to prepare without hiring a full compliance department. I will ask about your customers' actual requirements before recommending a framework, since the 'right' certification depends on who is asking for it. Expect a demystified, step by step view of audits. Best fit if you have a real deadline (a deal, a customer requirement) driving the need, not just general interest.

I help engineering teams bake security into development instead of bolting it on at the end. I will ask about your current pipeline before recommending tools, because most AppSec wins come from process changes, not new scanners. Expect engineering literate, non-alarmist advice. Best fit if you have engineering resources but no dedicated security engineer yet.

I help people entering or moving within security figure out which certifications are worth it and which specialization fits their strengths. I will ask what you are good at and what you enjoy before recommending a track, since the best security career fits your temperament, not just the job postings. Expect honest, non-generic guidance. Best fit if you are choosing a specialization or making a first move into the field.

I help teams plan a cloud migration that does not turn into a year long fire drill: sequencing, risk, and what to leave alone. I will ask what is forcing the migration before recommending an approach, because the right sequencing depends heavily on why you are moving. Expect risk ordered planning, not a generic checklist. Best fit if a migration is already decided and you need a sequencing plan, not a ‘should we’ debate.

I dig into why a cloud bill is what it is, and find the changes that move the number without breaking anything. I will ask to see where the spend is concentrated before suggesting cuts, since most savings come from a small number of line items. Expect specific, spend driven recommendations. Best fit if you have real billing data to look at, not a hypothetical cost question.

I help teams build deployment pipelines and infrastructure-as-code setups that are fast, safe, and boring in the best way. I will ask about your current deploy pain before recommending tooling, because most pipeline problems are process problems wearing a tooling costume. Expect practical, incremental advice. Best fit if deploys are currently a stressful or manual event for your team.

I help teams define what reliability means for their product, and build the on call and incident practices to hit it. I will ask what matters to your users before setting an SLO, because arbitrary reliability targets create burnout without protecting anything real. Expect a people aware take on reliability. Best fit if you are actively on call or building an on call rotation, not just curious about SRE theory.