Engineer · Ankara, Türkiye

Yağızhan Keskin

Building AI systems across biomedical signals, embedded hardware, and applied research.

Electrical & Computer Engineering student with a systems-level perspective on intelligent systems. I work where software meets hardware - from signal processing and medical AI to real-time embedded applications. I also lead Atılım University's AI community and teach workshops on practical AI tooling.

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I'm an engineer who is most comfortable at intersections. My academic path spans electrical engineering, computer engineering, and mechanical engineering. Not out of indecision, but because the systems I care about don't respect discipline boundaries. An EEG acquisition pipeline touches analog electronics, signal processing, and machine learning in the same afternoon.

I focus on AI systems, biomedical signals, and embedded hardware. My work tends to involve real implementation: running models on constrained devices, designing data pipelines that hold up beyond a notebook demo, and writing code that another person can actually reproduce. I think about systems before I think about tools.

Outside of engineering work, I founded and run the AI community at Atılım University, where I organize workshops and teach practical AI skills to students across departments, alongside many projects and events. I care about making technical knowledge accessible, not simplified, but clearly communicated.

Atılım University

Ankara, Türkiye

Double Major

Electrical & Electronics Engineering

Double Major

Computer Engineering

Minor

Mechanical Engineering

Language Proficiency & Selected Certifications

IELTS 8.0 - Academic

Computational Neuroscience

University of Washington · Coursera

Anatomy: Cardiovascular, Respiratory and Urinary Systems

University of Michigan · Coursera

Introduction to Power Electronics

University of Colorado Boulder · Coursera

Cyber Security Fundamentals

University of London · Coursera

Internship

Engineering Intern

ASELSAN

Gained applied engineering experience at one of Türkiye's leading defense and technology companies. Worked within real engineering teams on technical problems with production-level constraints and standards on AI and Hardware.

Internship

Engineering Intern - EV Charging & Test Verification

UMAY Tech

Worked on electric vehicle charger systems with a focus on testing and verification engineering. Gained hands-on experience with practical electronics, test protocols, and product-level validation processes. Alongside said experiences, here i gained my first on field engineering experience, fixing EV chagers in constrained environments.

Founder & Community Leader

Atılım AI - Atılım University AI Community

Founded and lead the AI community at Atılım University. I organize technical events, coordinate outreach across departments, and work to build a culture around practical, accessible AI knowledge. The community brings together students from different engineering disciplines to learn, build, and share.

Workshop Instructor

Prompt Engineering & Applied AI

I design and deliver workshops on prompt engineering, AI tooling, and practical applications of large language models. My focus is on giving people working fluency with these tools - not just awareness, but usable skill. I teach to mixed technical audiences and enjoy the challenge of translating complexity into clarity.

President

Atılım Robotics Community - Atılım University

Served as president of the robotics community at Atılım University, coordinating technical projects, team organization, and event planning. The role strengthened my ability to manage engineering-focused groups and bridge mechanical, electrical, and software disciplines within a single team.

AI Systems

Designing and implementing machine learning pipelines with emphasis on reproducibility, practical deployment, and measurable outcomes beyond proof-of-concept.

Biomedical Signals

Working with EEG, EMG, and physiological data - from signal acquisition and preprocessing through to classification and research-oriented analysis.

Embedded Systems

Building on constrained hardware where software performance, power, and real-time requirements intersect. Comfortable across the hardware-software boundary.

Medical & Research ML

Applying machine learning to medical and biomedical domains using frameworks like PyTorch and MONAI, with attention to clinical relevance and data integrity.

Automation & Reproducibility

Building workflows that are automated, version-controlled, and reproducible. Strong preference for Linux-based environments and tool-assisted development.

Applied Electronics

Practical electronics experience including EV charging systems, test-verification processes, and the kind of structured engineering work that turns designs into products.

Systems thinking

I think in architectures, not individual scripts. Every component is part of a larger system, and I design accordingly.

Hardware-software fluency

I move between embedded firmware, signal chains, and high-level ML code. The vertical range is intentional.

Structured execution

I plan before I build. Clear milestones, documented decisions, and work that can be reviewed and handed off.

Implementation bias

I build working systems, not slide decks. If an idea doesn't run on real hardware or real data, it stays a sketch.

I'm open to research collaborations, internship opportunities, engineering roles, and serious technical conversations. If something here resonated with your work, I'd be glad to hear from you.

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