I’m Tyler Konesky, an engineering leader and hands-on software architect. I connect business context, architecture, and execution to build secure production systems—and I’m especially focused on helping teams adopt AI in useful, governed, measurable ways.
How I create leverage
Leadership range without losing technical depth.
Where I add value
My broadest impact comes from connecting business context, system design, and engineering execution. That range can serve a team through hands-on leadership or senior architecture and applied-AI work.
Engineering leadership
I lead close enough to the system to make sound technical decisions, while giving engineers the context, guardrails, and room they need to learn and own their work.
Senior engineering and applied AI
I design and build across APIs, data, cloud infrastructure, frontend systems, security, testing, and practical AI. My advantage is understanding how those parts behave together over the full software lifecycle.
Selected work
These case studies show how I combine product understanding, architecture, implementation, leadership, and production ownership.
Explore all projectsFlagship client platform
A client-owned platform that consolidates email, SMS, website chat, and phone workflows across multiple brands, with skill-based agent permissions and reviewable AI assistance.
Distributed platform
A multi-tenant web and edge-device platform that lets organizations remotely schedule and manage media across distributed screens, including offline playback and event-driven casino installations.
Applied AI · Internal deployment
A deployed internal system that coordinates bounded agents for greenfield builds, bug fixes, feature work, and production-readiness review while keeping high-risk actions behind human approval.
Career narrative
I began in customer-facing operations, discovered software by automating a forecasting problem, developed financial expertise, and then moved deliberately into engineering. Across those chapters, the recurring pattern has been learning quickly, solving hard problems, and being trusted to lead.
View the full timelineCurrent chapter · 2020–present
Business foundation · 2004–2016
First systems breakthrough
Operating principles
Strong engineering systems make good decisions easier, surface risk early, and help people grow without losing accountability.
I establish the important boundaries, constraints, and non-negotiables early, then leave room for engineers to make implementation decisions that support the larger design.
Security, authentication, and significant functional failures block a release. Known minor defects can ship under time pressure when they are documented, communicated, and backed by a credible resolution plan.
I want engineers to ask questions, challenge a decision, and make responsible mistakes. I also expect them to own the outcome, learn from it, and follow through.
Ask Tyler
Ask a question in plain language. The AI assistant adapts its depth to your role, answers from approved portfolio evidence, and links back to the work behind its claims.
Ask TylerAI assistant · Evidence-backed
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For hiring teams
Paste a job posting to compare its requirements with my documented experience. The result separates demonstrated strengths, adjacent experience, and genuine gaps without inflating the fit.
Scores describe documented evidence alignment—not hiring probability. Numerical scoring is calculated by application logic.
Built in the open
The platform demonstrates authenticated content management, evidence-aware RAG ingestion, audience-aware AI design, deterministic job scoring, privacy controls, infrastructure as code, and controlled staging-to-production promotion.
Architecture case study coming soonResume library
Leadership and senior engineering resumes will emphasize different dimensions of the same verified career history, without changing the underlying facts.
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