Kagan Demirhindi

AI Engineer · Agents, Evals, MCP & AI Tooling

About Me

I’m an AI engineer with 7+ years of software engineering experience. For the past 2 years, I’ve focused on building AI products and production agents, along with the evals that keep them reliable. Product teams at some of the world’s largest enterprises trust these agents with their data and use their answers to make product decisions.

I start with the problem, who it matters to and whether it is worth prioritising.

I move quickly, get working software in front of users early and improve it from real feedback. I’ve worked across multiple teams to accelerate AI adoption through hands-on delivery.

In my free time you can find me running, climbing, cooking and building tools and games.

Experience

Pendo

AI Engineer

October 2025 - Present

pendo.io

Product experience platform that helps companies make product intelligence actionable at speed and scale.

  • Core engineer on Pendo's AI agent, working end-to-end across multi-agent orchestration, skills, MCP tooling and eight workflows. Delivered 133 merged PRs across May and June 2026.

  • Built Pendo’s internal agent evaluation tool from scratch, combining LLM-as-a-Judge, repeatable test suites, trace-based debugging and multi-backend comparison. It enabled engineers and PMs to make eval-driven decisions on model migrations, MCP tooling and launches.

  • Initiated and led a model migration for Pendo’s AI agent and its expansion to Japan. Took Japan from proposal to internal testing in one week, owning technical delivery and coordination with Legal and Platform Ops.

  • Improved agent reliability through trace-led debugging, hallucination guardrails and tool/context fixes. Synthesised traces, logs, analytics and user feedback into recurring AI-assisted gap analyses that surfaced high-impact improvements.

  • Accelerated Pendo’s AI transformation through hands-on delivery and onboarding across multiple teams. Named Pendo's AI MVP for Q2 2026.

Teamwork.com

Software Engineer

November 2021 - October 2025 (4 years)

teamwork.com

The only project management platform built specifically for client work.

  • Worked on AI features from ideation to production, shipped AI-generated project setups that doubled onboarding completion rates.

  • Built AI Forecasting using TinyTimeMixer and Prophet, self-hosted on AWS.

  • Built production features with Vue.js, Tailwind CSS and Go. Used LaunchDarkly feature flags for safe, incremental rollouts.

  • Ran data-driven experiments to optimize KPIs and drive user growth using Pendo, HubSpot and Hotjar.

CardAlpha

Full Stack Developer

September 2020 - June 2021 (10 months)

cardalpha.com

London-based fintech startup. ePOS app that turns tablets and smartphones into powerful cash registers.

  • Small team, high autonomy. Worked directly with CEO and CTO to define the product. Learned to be outcome-focused and ship fast.

  • Built Go microservices with gRPC. Dockerized and deployed on Google Kubernetes Engine.

  • Integrated with partner bank API to automate merchant onboarding, reduced time from contract to first transaction to just hours.

  • Shipped a React + TypeScript mobile app using Ionic and Capacitor. Built custom Capacitor plugins for native SDK access.

Galaksiya

Software Developer Intern

February 2019 - September 2020 (1 year 8 months)

galaksiya.com

Software consultancy in Izmir, Turkey. Strong culture of learning and exploring new technologies.

  • Shipped multiple projects as an intern: product catalog app, activity monitoring software and data pipelines. Learned by building, not just reading.

  • Built microservices with Java + Micronaut, PostgreSQL, GraphQL. Containerized with Docker and Docker Swarm.

  • Built web scrapers with Scrapy-Splash to extract gigabytes of data daily. Prepared data for ML training using Python.

  • Data visualization and analysis with Pandas, Elasticsearch, Kibana. Automated deployments with Bash.

Notable

Speaker

Minicon XII 2026

“How to Train Your (Coding) Agent”: Explored the current state of LLM capabilities along with practical patterns for managing context windows, subagents, skills and agentic workflows (bash loops) for AI-first development.

Viral Post

2M+ views across LinkedIn & Reddit

“Fewer Juniors Today = Fewer Seniors Tomorrow”: Sparked widespread industry discussion on the long-term talent pipeline risks of AI hype in software engineering.

Open Source

full-review

Architecture-first code review for AI agents

github.com/kadenn/full-review

A two-phase gate locks design verdicts (right place, right abstraction, right thing to build) before line-level review begins. Separate evaluation bars per phase, a finding-depth ladder and a grader pass keep the output high-signal.

Agent tooling

chronos / pushback / shipit / socratic

github.com/kadenn

Portable skills + hooks that give coding agents wall-clock time awareness (chronos), productive disagreement (pushback), first-class git/PR workflows (shipit) and structured thinking (socratic). Multi-harness: Claude Code, Codex and others. More at github.com/kadenn.

Education

Ege University

BSc Computer Science

2017 - 2021 (GPA 3.11/4.0)

Top research university in Turkey.

Started working as a developer in my second year while balancing coursework. Active in Ege Entrepreneurship Society, organizing company visits and campus events. Learned early that building is the best way to learn.

Software Skills

Agent Orchestration Multi-Agent Systems Agentic Workflows Evals / Agent Evaluation LLM-as-a-Judge Failure Taxonomies Context Engineering Prompt Engineering Tool Calling RAG MCP Coding Agents Python TypeScript JavaScript Go Vue.js React Node.js FastAPI LangChain LangGraph LangSmith Gemini / Vertex AI OpenAI Anthropic / Claude APIs PostgreSQL Redis Docker Kubernetes GitHub Actions GCP AWS Cloudflare Claude Code Codex Observability LaunchDarkly Pendo