Technical implementation · Business systems analysis
I turn complex information into clear requirements and useful workflows.
I provide technical and analytical consulting, designing and delivering AI-enabled workflows and tools for document processing, information organization and practical automation. Running Amkha Seed LLC gave me the business perspective to connect that technical work with customer needs, operating constraints and dependable handoffs.
Managing Amkha’s operations and finances taught me to look past an idealized workflow: what happens when information is missing, priorities change or someone needs an answer? Customer needs, vendor commitments and operating constraints shaped those decisions.
My consulting work builds on that operating perspective. I clarify requirements, design practical workflows, build and improve technical solutions, investigate failures and validate results against source information. The work includes delivered tools, ongoing systems maintenance, technical guidance and detailed analysis.
Amkha Seed LLCFounder / Operations & Compliance Manager, 2016–2022Technical and Analytical ConsultantIndependent Contractor | October 2022–Present
CONSULTING AND SYSTEMS DELIVERY
AI and information workflows I build, operate and improve.
I provide technical and analytical consulting across requirements, workflow design, implementation, validation and troubleshooting. I build and maintain Python and PowerShell workflows that turn documents, recordings and data into structured, reviewable information. I select tools, models and APIs, review and modify code, resolve failures and verify outputs. Delivered document and photography tools remain in use, and my technical guidance includes AI backend design for a released mobile app.
Processing and automation. Document extraction, OCR, transcription and structured outputs, with source checks, failure handling and recoverable updates.
Tools and technical guidance for other users. Document and photography tools in continued use, plus advice on AI backends, model selection, memory use and API setup for a released mobile app.
Controlled agent coordination. Defined responsibilities, scope-specific permissions, structured exchanges and verified handoffs across AI tools and agents.
My consulting work spans requirements, implementation, testing, troubleshooting and user guidance. I keep important decisions and changes traceable so the systems can be reviewed, maintained and improved.
DELIVERED / IN CONTINUING USE
Document categorization and search
I designed and implemented a document-categorization workflow with a rich searchable index, connecting organization rules with how users find and use information.
My contribution: requirements, workflow design, implementation and validation.
DELIVERED / IN CONTINUING USE
Photography application
I designed and implemented an application with OCR, content and quality ranking, rich tagging and manual overrides. Separate index and workbook reconciliation supports controlled, reversible updates.
My contribution: technical design, processing workflows, review controls and troubleshooting.
ADVISORY / RELEASED APP
AI backend guidance
I advised a mobile-app developer on AI backend design, model selection, memory use and API configuration, contributing to an app the developer completed and released.
My contribution: technical evaluation and practical guidance to the developer.
SELECTED WORK
Public case studies of how I work.
These inspectable demonstrations complement my delivered tools and consulting work. Each states its own fictional or synthetic scope, decisions and supporting evidence.
01 / FEATURED CASEFictional implementation exercise
A service-request process can look complete while responsibility, acceptance and support handoff are still unclear. I modeled the path from intake and requirements through Jira/Confluence workflows, testing, corrections and readiness.
I kept Validation separate from Done and preserved failed tests until the corrections had been retested.
Capture the requirementWho needs what, with which constraints?
02
Test the behaviorRecord the observation and expected result.
03
Correct and retestKeep earlier failures in the evidence history.
04
Decide readinessOwnership, rollback and support transition.
10final passing fictional IRW UAT cases
8separate synthetic foundation cases
Editorial illustration of the work-sample lifecycle, not a Jira screenshot. The ten-case fictional Atlassian layer and eight-case foundation are separate evidence sets.
In an intake-analysis demo, I chose to preserve uncertainty rather than turn a missing answer into a convenient assumption. Rules separated validated records from the ones that still needed review.
I tested what happens when simulated integration events repeat, arrive out of order or fail. The local Python flow records bounded retries, retains failed deliveries and reconciles the final state.
Linked replay after fault clearance3 matching final target records
Illustration based on locally executed synthetic scenarios. The suite reported 12/12 expected outcomes; no live SaaS or n8n execution is implied.
HOW I APPROACH THE WORK
Make the important details easy to follow.
01
Understand the operation
Start with the people, the process and the exceptions a system needs to handle.
02
Make the decision testable
Turn unclear requirements into rules, expected outcomes and visible findings.
03
Leave a usable handoff
Make the result explainable enough for someone else to implement, validate or support.
CONTINUED LEARNING
Recent proof, in the right context.
Recent credentials and hands-on learning support my work in implementation, business systems and data analysis.
AtlassianCredentialed in Forge Fundamentals; Credentialed in JSM Fundamentals with AI; Credentialed in Rovo Fundamentals - certificates, 2026
Google CloudDerive Insights from BigQuery Data Skill Badge - hands-on, September 2026
DatabricksDatabricks Fundamentals and Analytics Fundamentals accreditations; SQL Analytics and AI/BI knowledge badges - September 2026
Foundation: Associate of Arts with Business Designation, Front Range Community College; University of Denver 240-hour Cybersecurity Boot Camp. Additional CSU and UNC coursework is not represented as degrees.
LET'S CONNECT
Interested in the messy middle between business and technology?
That's the kind of work I like to make clearer. You can explore the full project evidence or connect with me professionally.