"I'm someone who wants to become a computer scientist and make useful research for humanity."
Hello. I am a 3rd-year computer engineering student, aspiring to be a researcher who seeks to understand the nature of intelligence and how machines can emulate human consciousness.
I view technology and coding not merely as engineering problems, but as philosophical and sociological phenomena that shape society. My goal is to build intelligent systems that are inspired by biological systems, carry ethical responsibility, and provide genuine benefit to humanity. I research cognitive science and neuromorphic designs, constantly questioning the role of artificial intelligence in our journey to understand human consciousness.
- AI & Machine Learning: Large Language Models (LLMs), RAG Architectures, RLHF, Scikit-Learn, LangChain, LangGraph.
- Backend & Engineering: Python, Java, C#, FastAPI, API Design, PostgreSQL, Scalable Systems.
- Research Focus: AI Alignment, Active Learning, Fine-tuning, NLP for morphologically rich languages (Turkish).
I strive to combine theoretical research with practical projects that solve real-world problems:
- AI Alignment & Human Feedback (Outlier AI): Actively contributed to the training and fine-tuning of generative models. By providing high-quality human feedback (RLHF), I gained hands-on experience in model alignment, prompt engineering, and teaching AI to reflect accurate, safe, and ethical human reasoning.
- Large Language Models & RAG Systems: Focused on LangChain, LangGraph, and RAG architectures. Researching LLM optimization, fine-tuning, and active learning techniques, specifically for collaborative language models in Turkish. [Currently developing]
- ING Hubs Customer Churn Prediction: Modeled customer behavior through RFM analysis and developed a churn prediction model using CatBoost on imbalanced banking datasets. Made the model's decisions fully explainable using SHAP values. [https://github.com/bariserensahin/ing-datathon-2025-churn-prediction]
- Patient Appointment Management System: A modern, scalable backend project where I designed and built the database architecture and API logic from scratch. [Private]
- Fundamental Machine Learning Projects: Experimented with classical and neural modeling approaches (e.g., heart disease prediction, housing price regression) to grasp the building blocks of complex systems.
I believe that creating genuinely intelligent systems requires much more than mathematical optimization; it demands an understanding of the human experience and a commitment to social responsibility.
- Interdisciplinary Approach: My studies in cognitive science, internet sociology, and philosophy profoundly shape my approach to AI. When developing a model, I prioritize assessing its impact on human behavior and ensuring its accessibility.
- Community Impact: I have volunteered for a year teaching mathematics to university candidates, which honed my ability to break down complex analytical concepts. Currently, I volunteer to format e-books for the visually impaired, reinforcing my core belief that technology is valuable only when it empowers people.
- The "Hero's Journey": I use frameworks like Joseph Campbell’s narrative structure to view research as venturing into uncharted territory, solving complex problems, and returning with knowledge that benefits society.
This human-centered perspective provides me with the ethical awareness, communication skills, and teamwork aptitude required to contribute meaningfully to any research lab or forward-thinking engineering team.
Following my undergraduate studies, I aim to continue my academic journey by focusing on neural language models and generative AI.
If you want to research, think together, or collaborate on scientific and engineering projects, feel free to reach out anytime.
Contact:
- LinkedIn: [https://www.linkedin.com/in/bariserensahin/]
- Email: bariserensahin23@gmail.com