RANDY KLECKNER / TECHNICAL PORTFOLIO

A practical mind.
A technical toolkit.
A human focus.

I’m Randy Kleckner, an Apple business analyst with 10+ years in technical operations and enablement. I develop AI-assisted analytics tools and help distributed teams put them to work.

OPERATIONS FIRST.CURIOSITY ALWAYS.
EXPERIENCE MEETS EXPLORATION

Apple technical operations + AI-assisted development + Practical problem-solving

01 / THE FOUNDATION

Grounded in operations.
Driven by curiosity.

Apple

Technical operations · AI enablement · Business analysis

From technical mentoring to digital support analytics, my work at Apple connects technology, people, and repeatable processes.

As a Junior Business Analyst in Digital Support Strategy, I own the technical build and operational rollout of an AI-enabled analytics platform. My work combines AI-assisted development, data validation, documentation, access coordination, and stakeholder enablement.

10+ years of experienceDistributed teamsAI enablement

02 / SELECTED WORK & EXPLORATIONS

From questions
to working ideas.

Work shaped by real operational needs.
AI-assisted development, with people in the loop.

02 / WORKFLOW AUTOMATION

Less repetition.
More useful context.

AI agents and automations for task analysis, standardized documentation, executive summaries, webpage generation, and recurring metrics. Built around review workflows and stakeholder needs.

AI agentsWorkflow designHuman review

03 / AI EVALUATION

The right tool
for the task.

Evaluate LLMs for output quality, token efficiency, multimodal capabilities, and workflow fit. Earlier AI annotation and red-teaming work focused on model quality, bias, vulnerabilities, and actionable feedback.

LLM evaluationRed teamingPrompt engineering
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HANDS-ON EXPLORATION

Technical projects & ongoing learning

Explore my GitHub profile for repositories and project documentation.

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03 / THE APPROACH

Technology is the tool.
Understanding is the work.

My strength is connecting technical work with the people who need to use it.

I bring an operations and business-analysis background to hands-on, AI-assisted development. Alongside building tools, I write SOPs, lead demos, coordinate access, and gather feedback. The goal is a system that teams can understand, adopt, and maintain.

01

Start with the problem. Understand the context before choosing a tool.

02

Build with intention. Favor clarity, usefulness, and practical scope.

03

Keep learning. Be honest about the process and curious about what comes next.

04 / EXPERIENCE & QUALIFICATIONS

A foundation built
through hands-on work.

Career details from my August 2026 résumé.
Apple · Remote

JUN 2026 – PRESENT

Junior Business Analyst

Digital Support Strategy · Data Center of Excellence Analytics

Own the build and rollout of an AI-enabled digital support analytics platform. Develop data-quality rules, automate review and publishing workflows, and partner with analysts, engineers, and leadership on requirements and adoption.

FEB 2026 – JUN 2026

Flex+ Advisor

AI Annotation & Red Teaming

Evaluated LLM outputs through prompting and red teaming. Documented model-quality issues, bias, vulnerabilities, and dataset findings for data science and cross-functional teams.

FEB 2016 – JAN 2026

Senior Advisor — Mentoring Lead

Technical mentoring & operational enablement

Led mentoring and training, authored SOPs and FAQs, coordinated team access needs, and used performance data and feedback to improve support workflows across distributed teams.

Additional leadership assignments
  • Health Quality Administrator rotation
    February–August 2025
  • Instructional Design / RTR Training Curator
    May 2023–January 2026
  • Mentoring Coordinator / AppleCare Core Trainer / Technical Tier 2 Leadership Academy
    2020–2024

LET’S CONNECT

Good work starts
with a conversation.

Interested in technical operations, analytics, or practical applications of AI? Let’s connect.

Email me