AI Engineering · Data Science · Cloud Computing · Washington, DC area

Kutay Deniz Yazicioglu

From raw data to working AI systems.

I am an AI Engineering graduate student at Bay Atlantic University. I build machine learning and LLM applications and bring them to life with data pipelines, APIs, and cloud software.

  • M.S. AI EngineeringBay Atlantic University
  • ExperiencePanasonic and Huawei
  • Campus leadershipStudent Government Association
  • Graduate GPA 3.95President’s List, Fall 2025
See what I have built

Selected work

Three projects, three kinds of problems.

An LLM application, an optimization capstone, and a human–robot interaction prototype. Each case study separates what I did from what the team did.

01Personal projectWorking prototype

CareerGENAILLM Career Mentor

A full-stack AI career mentor that reads résumé inputs, identifies skill gaps, and turns them into a learning roadmap.

Problem Career advice is usually generic. A student can name a target role but rarely knows which gaps matter most or what to build next.

  • Next.js
  • FastAPI
  • Gemini 2.5 Flash

02Team capstoneCompleted capstone · platform concept

BECAYISCivil Servant Relocation Matching

A software engineering capstone exploring how optimization could support relocation matching for Turkish civil servants.

Problem In Türkiye, civil servants can relocate by swapping posts with a colleague who wants the reverse move, a process called becayiş. Finding a compatible partner by hand is slow, and the search gets harder once preferences and constraints stack up.

  • React
  • Spring Boot
  • PostgreSQL

03Team course projectIn progress · Fall 2026

Robotic ReceptionistCampus Human–Robot Interaction

A campus receptionist prototype that explores how people interact with a robot when asking for directions or student services.

Problem Visitors to a university lobby ask the same questions again and again: where an office is, which floor a department is on, who can help with a student service. Staff are not always at the desk.

  • Computer vision
  • HRI
  • Python

All projects and experiments

Graduate research in progress

Prompt injection in cloud-deployed LLM applications

How vulnerable are cloud-deployed LLM applications to prompt injection, and which defense-in-depth strategies reduce attack success with minimal performance overhead?

I am studying how layered safeguards can protect cloud-deployed LLM applications while keeping them responsive. The project asks how to measure defensive effectiveness and latency together, so a safeguard can be judged against the constraints of a real application.

Read about the research

Areas I work in

Where the model meets the product.

  • 01

    Applied AI and LLM applications

    I build prototypes that turn model outputs into features people can use, from structured recommendations to application workflows.

  • 02

    Data science and analytics

    I use Python and SQL to prepare data, evaluate models, and explain the results behind a decision.

  • 03

    Cloud and software engineering

    I connect the model or data workflow to the rest of the product through APIs, databases, and containerized services.

Experience and leadership

Industry internships, campus leadership.

My path from Istanbul to Washington
  1. May 2023 – Nov 2023PanasonicBusiness Analyst InternAutomated ERP data validation, saving 10+ hours a week
  2. Jan 2024 – Feb 2024HuaweiCloud Engineer InternPython log analysis that cut operational overhead 15%
  3. Jan 2026 – PresentBay Atlantic UniversityVice President, Student Government Association
  4. Dec 2020 – Aug 2023IEEE Bahçeşehir University Student BranchVice President

Get in touch

I am open to opportunities in AI engineering, data science, and cloud computing, and to research collaboration.