About me

I am an AI researcher focused on developing intelligent systems that are capable of real-time understanding, interacting, and aligning with human users in complex environments. My research covers Multi-Agent Systems, Information Retrieval, Human-Agent Interaction, and Trustworthy AI.

I earned an M.Sc. in Artificial Intelligence (summa cum laude) from Ozyegin University, where my research centered on frameworks for Human-Agent Negotiation and Multi-Agent systems. Under the supervision of Dr. Reyhan Aydogan at the Interactive Intelligent Systems Lab, I investigated how computational agents can model and adapt to human preferences, arguments, and nonverbal cues (facial expressions & gestures) during real-time interactions. This work resulted in multiple publications in leading AI venues, including AAMAS, IJCAI, and journals such as HRI, ACM TiiS, IEEE THMS, and JAAMAS. Additionally, my teammate and I won IBM Watson’s Human Multi-Agent Immersive Negotiation Challenge at IJCAI 2020.

My academic foundation was significantly broadened through several international visiting research positions:

• At TU Delft's Interactive Intelligence Group with Prof. Catholijn Jonker, I developed multimodal frameworks for human-agent negotiation and led large-scale experiments to address the challenges of interpreting complex, real-time human signals.
• At the University of Cambridge's Affective Intelligence & Robotics Lab with Prof. Hatice Gunes, I applied continual learning to develop personalized agent strategies that recognize users' facial expressions during interaction.
• At Brown University's E-GLAMOR Group with Prof. Amy Greenwald, I developed award-winning supply chain management agents (IJCAI 2021 Runner-Up; SCML 2021) that optimize for long-term objectives and social welfare. I introduced an adaptive bidding algorithm that allowed agents to assess market conditions and strategically align short-term actions with long-term goals.
• My early research experience includes work at the Collaborative Robotics and Intelligent Systems Institute of Oregon State University (NSF REU Scholar), focusing on optimization algorithms for 3D printing, advised by Prof. Yigit Menguc.

Throughout my academic career, I have also been involved in teaching AI courses and contributing to the academic community as PC at AAMAS, organizing competitions (ANAC), and serving in leadership roles (IEEE CS Turkey Chapter). My work has been recognized by awards, including the IEEE CS Richard Merwin Student Scholarship, Ozyegin University's Best Research Assistant Award, competition wins at IJCAI, and selection as a Young Researcher for the Heidelberg Laureate Forum (HLF).

Motivated to apply my research to real-world AI systems, I co-founded Kanzy Financial Technologies in London, UK, and served as CTO. I led a team of five MSc/PhD-level experts to develop Finguru, a conversational agent providing trustworthy, personalized investment guidance within the UK’s strict financial regulatory environment. My responsibilities included architecting and implementing the core AI infrastructure, such as:

• A high-throughput pipeline for processing real-time financial news, filings, and market data across thousands of assets.
• A multi-agent orchestration stack enabling complex reasoning and tool use.
• Automated evaluation frameworks focused on robustness and fairness.
• A persistent preference-learning and memory layer for deep personalization.

This venture received support from NVIDIA Inception and Google for Startups AI programs and secured over $300,000 in funding.

I am currently on leave from Kanzy and seeking opportunities to advance research on adaptive, reliable, and human-aligned AI systems. My interests include adaptive agent architectures, scalable human-agent coordination, and trustworthy AI. I aim to address how agents can efficiently learn from changing environments, ensure scalable and ethical coordination, and enhance human-machine collaboration while upholding ethical standards.

Teaching Assistantship

Ozyegin University:

• CS 551: Introduction to Artificial Intelligence - (Spring 2021, 2022 & 2023)
• SEC 405: Artificial Intelligence: Impact on Humanity, Society, and Business - (Spring 2021 & 2023)
• CS 202: Database Management Systems - (Spring 2022)
• CS 103: Introduction to Computer Programming for Engineers - (Fall & Spring 2020)

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