Yunus Tezcan

About Yunus Tezcan

I build ML/AI products end-to-end—architecture, data ingestion, APIs, and the UI/UX needed to prove value quickly. I translate inputs from CEOs, customers, marketing, and data science into clear designs and working features, with a focus on rapid prototyping and capital-efficient execution.At IQRush.ai I established a repeatable demo cadence, taking time-to-demo from months to days, then iterating with prospects to drive product direction. I combine in-house models, pretrained components (e.g, KeyBERT), and integrations with major LLMs and generative search engines to deliver reliable, scalable functionality.I lead engineering practices (standards, ADRs, CI/CD criteria, runbooks), partner closely with the CTO on platform/security/compliance, and provide technical leadership for early-career engineers and data scientists. My sweet spot is getting early startups investor-ready—fast—while laying foundations that won’t crumble later.

Experience

1. Chief Technology Officer

   Iqrush.Ai

   Jan 2026 — Present · San Diego, US

   Own architecture and delivery for an ML/AI platform: data ingestion pipeline, API layers (internal/public), and prototype UIs that showcase backend capabilities.Reduced time-to-demo from months to days by taking ownership of prototyping and establishing a weekly demo cadence; enabled rapid multi-iteration feedback with prospects.Translate CEO/client/marketing requirements and Chief Data Scientist research into solution designs; scope and delegate features, run planning/standups/reviews, and maintain a healthy backlog.Implement in-house models; apply pretrained models (incl. KeyBERT); integrate with major LLMs and GSEs; design retrieval/orchestration and evaluation harnesses.Work with team on DevOps, CI/CD, observability, auth/security/compliance; codify Definition of Ready/Done, runbooks, and SLI/SLO criteria.Provide structured technical leadership for engineering and data-science staff (standards, reviews, pairing) to raise delivery quality and autonomy.Author technical reports used as sales collateral and adapted into white papers; support GTM and thought leadership.Optimize for burn-rate efficiency via modular design, reusable components, and right-sized infrastructure.Key tech/keywords: Python (FastAPI/Flask), React (greenfield POCs), Spring Boot 3.3, SQL Server/Azure SQL, Azure Functions, Service Bus, Azure Blob, Redis, Docker, AKS (Kubernetes), Weaviate (vector DB), Trafilatura (scraping), CI/CD, Feature Flags, OpenAI/HF, KeyBERT, LLM/GSE integrations, RAG/retrieval, evaluation.

Education

• University of San Diego

  Master of Science - MS, Artificial Intelligence

• Santa Clara University

  Bachelor's degree, Computer Science

  2015 — 2016

• University of Washington

  Human Centered Design Engineering, Mechanical Engineering

  2012 — 2014

Skills

• Customer Service
• .net Framework
• C#
• Jgrasp
• Easily Adaptable
• Teamwork
• Dynamic Communicator
• Mac
• Xml
• Sql
• Microsoft Excel
• Powerpoint
• Object Oriented Design
• English
• Nosql
• Python
• Event Planning
• C
• Xcode
• Java
• Windows
• Eclipse
• Machine Learning
• Social Networking
• Agile Project Management
• Microsoft Word
• C++
• Agile & Waterfall Methodologies
• Swift
• Photoshop
• Leadership
• Docker
• Data Structures
• Objective-C
• Data Science
• Public Speaking
• Neo4j
• Project Management
• Data Analysis
• Object-Oriented Programming (Oop)