AppliedAI.

Retrieval / Workflows / Review

The work behind it

The practice

Krystian Flores
Senior Software Engineer / Technical Lead

Complete résumé

AI product workflows with review built in.

Across MetaSculpt and internal university tools, I have connected retrieval, deterministic checks, structured outputs, and human review to interfaces that make results and next steps clear.

Selected project notes

In practice.

Public products, internal systems, and prototypes, with my part in each.

01Public AI productShipped

MetaSculpt AI

MetaSculpt interface showing an action brief, visibility chart, account navigation, and login surface — Action brief: crawl findings become suggested fixes. I owned the crawler and reporting logic; the product shipped without gaining traction.

My partCo-Founder (technical lead) / 2024 - 2025

Co-founded and shipped a public product combining prompt tracking, citation capture, crawl analysis, weekly reports, and Schema JSON generation and validation.

Led product architecture, AI workflow design, frontend implementation, crawler and report logic, documentation, and code review in a two-person company.
Designed the Crawl → Generate → Validate → Fix flow and kept crawler and generator responsibilities separate.

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02Private AI governance workflowShipped internally

Logo Proposal Validation Agent

ProposalPolicy checksRetrieved guidanceHuman decision

ApproveDenyClarifyEscalate

Internal logo-review workflow I designed. Deterministic checks and retrieved policy context support the reviewer; ambiguous cases stay in human review.

My partTechnical lead · AI product architecture / 2024 - Present

Designed and shipped an internal logo-review workflow combining deterministic policy checks, retrieved guidance, structured output, and human review.

Owned project inception, architecture, development, publishing, documentation, and stakeholder coordination.
Routed clear cases through approve or deny paths and unclear cases through clarification or escalation.

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03Private AI guidance toolPrototype

Brand Guidance Chatbot

QuestionApproved brand sourcesAnswer with boundariesEscalate when uncertain

Prototype retrieval path I designed for internal brand guidance, with source updates, sensitive-information boundaries, and escalation.

My partTechnical lead (AI workflow prototyping) / 2024 - Present

Built an internal brand-guidance prototype with source updates, sensitive-information guardrails, and escalation for out-of-scope questions.

Owned the project from inception through prototype and internal user testing.
Built a source update and rebuild path for changes to the MarCom site.

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Connect the dots

Looking for an AI product engineer who can turn model output into a reviewable workflow?

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