Customer-Facing Technical Solutions
I translate requirements into implementation plans, define integration constraints, and align technical decisions with stakeholder outcomes.
Outcome Focus: faster onboarding and lower delivery risk
Timothy Kirk
Solutions Engineer | AI Engineering Apprentice
I design technical solutions that connect business goals to reliable implementation. My foundation is data engineering and BI, and I am now extending that into AI-enabled workflows, automation, and production-ready solution design.
About Me
From BI Delivery To End-To-End Solution Engineering
I have over four years of experience shipping data products that support decision-making at scale, from SQL Server pipelines and SSRS reporting to stakeholder-facing Power BI delivery. Today I focus on the Solutions Engineer path: understanding the business problem first, mapping technical options, and delivering systems that are maintainable, measurable, and practical. Alongside this, I am completing an AI Engineering apprenticeship to strengthen model-aware solution design.
What I Build
Data And Automation Systems
I design SQL-first pipelines, automate repetitive reporting tasks, and ensure data quality so teams can act on trusted information.
Outcome Focus: reduced manual effort and clearer operational visibility
Applied AI Experimentation
I am building capability in prompt design, model evaluation, and AI-assisted workflows with an emphasis on reliability, observability, and business fit.
Outcome Focus: practical AI adoption, not novelty prototypes
Technical Skills
SQL Server
Proficient
Power BI
Proficient
SSRS
Experienced
Power Automate
Experienced
Python
Automation & Data Workflows
Integration Design
APIs, Data Contracts, Reliability
AI Workflow Evaluation
Data Visualization
Data Management
Stakeholder Discovery
Solution Architecture
Problem Solving
Technical Communication
CURRENTLY LEARNING
AI Engineering Apprenticeship Focus
Strengthening applied AI capability in prompt engineering, model evaluation, and pipeline orchestration, with emphasis on responsible deployment and measurable business outcomes.
Case Studies & Delivery Evidence
Credit Card Fraud Analysis
Problem: Identify where fraud concentration and loss exposure were increasing.
Approach: Structured risk metrics, trend breakdowns, and segment filters to support investigation workflows.
Outcome: Enabled faster triage of high-risk behavior patterns and clearer reporting to stakeholders.
Barcelona Air Quality Report
Problem: Understand pollutant behavior across time and location for clearer public-health insight.
Approach: Built an exploratory dashboard around NO2, O3, and PM10 with drill-down filters and comparatives.
Outcome: Supported faster interpretation of air quality patterns and improved communication of environmental risk.
Let's Solve A Real Problem
If your team needs a Solutions Engineer who can move between business context and technical delivery, I would be glad to discuss your architecture, reporting, and AI adoption priorities.