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I am a Computer Scientist with hands-on experience in Vision Transformers, LLMs, and Deep Learning. Currently, I am pursuing a master's degree in Artificial Intelligence at the University of Essex while conducting research with British Telecom. My research focuses on action recognition, feedback generation, and verification of action sequences using NLP techniques, large language models, and Vision Transformers. I specialize in building practical and real-world machine learning solutions and generative AI. I have contributed to projects in FinTech and Computer Vision. I enjoy applying my skills in machine learning frameworks and programming to develop innovative AI-driven systems and tools.…I am a Computer Scientist with hands-on experience in Vision Transformers, LLMs, and Deep Learning. Currently, I am pursuing a master's degree in Artificial Intelligence at the University of Essex while conducting research with British Telecom. My research focuses on action recognition, feedback generation, and verification of action sequences using NLP techniques, large language models, and Vision Transformers. I specialize in building practical and real-world machine learning solutions and generative AI. I have contributed to projects in FinTech and Computer Vision. I enjoy applying my skills in machine learning frameworks and programming to develop innovative AI-driven systems and tools.

Can Kocyigitoglu

Full Stack Developer, AI Engineer, Data Scientist, +1

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I am a Computer Scientist with hands-on experience in Vision Transformers, LLMs, and Deep Learning. Currently, I am pursuing a master's degree in Artificial Intelligence at the University of Essex while conducting research with British Telecom. My research focuses on action recognition, feedback generation, and verification of action sequences using NLP techniques, large language models, and Vision Transformers. I specialize in building practical and real-world machine learning solutions and generative AI. I have contributed to projects in FinTech and Computer Vision. I enjoy applying my skills in machine learning frameworks and programming to develop innovative AI-driven systems and tools.…I am a Computer Scientist with hands-on experience in Vision Transformers, LLMs, and Deep Learning. Currently, I am pursuing a master's degree in Artificial Intelligence at the University of Essex while conducting research with British Telecom. My research focuses on action recognition, feedback generation, and verification of action sequences using NLP techniques, large language models, and Vision Transformers. I specialize in building practical and real-world machine learning solutions and generative AI. I have contributed to projects in FinTech and Computer Vision. I enjoy applying my skills in machine learning frameworks and programming to develop innovative AI-driven systems and tools.

Available to hire

I am a Computer Scientist with hands-on experience in Vision Transformers, LLMs, and Deep Learning. Currently, I am pursuing a master’s degree in Artificial Intelligence at the University of Essex while conducting research with British Telecom. My research focuses on action recognition, feedback generation, and verification of action sequences using NLP techniques, large language models, and Vision Transformers.

I specialize in building practical and real-world machine learning solutions and generative AI. I have contributed to projects in FinTech and Computer Vision. I enjoy applying my skills in machine learning frameworks and programming to develop innovative AI-driven systems and tools.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

Artificial Intelligence Researcher at British Telecom

September 1, 2025 - August 4, 2025

Conduct research on automated auditing of physical actions by developing a system to check if field engineers follow the correct procedures. The system utilizes Vision Transformers to classify and embed action images, combined with spaCy, cross encoder, and large language models to analyze textual descriptions of actions. This system classifies action sequences into task categories and provides feedback by comparing actual performance to ground truth using LLMs.

Full Stack Developer at BİSOFT BİLGİ TEKNOLOJİLERİ A.Ş

September 1, 2024 - August 4, 2025

Developed a Manufacturing Execution System to solve production overlap issues and boost factory efficiency. Built backend with Java Spring Boot, frontend with Vue.js, and integrated optimization logic using OptaPlanner and MiniZinc. Also contributed to Vispeahen, a data visualization and BI tool used by 50+ companies, improving both frontend with React.js and backend with Java and Python. Developed a secure Local Chatbot for internal PDF Q&A that processes embeddings with a local FAISS index and GPT-4All, running within a Dockerized REST API. Managed full project lifecycle during R&D phase.

Long Term Intern at BÜYÜTECH

August 1, 2022 - August 4, 2025

Developed an embedded camera system for traffic sign detection and recognition using trained models. Applied transfer learning with new real-world data to improve model accuracy. Utilized Python and C++ efficiently while comparing multiple training models to select the most accurate one.

Artificial Intelligence Researcher at British Telecom

September 1, 2025 - August 4, 2025

Responsible for developing an automated auditing system to verify if field engineers follow correct procedures. Utilized Vision Transformer models for image classification and embedding of action images. Integrated NLP techniques with spaCy, cross encoders, and LLMs to analyze textual action sequences for similarity and difference detection. Generated actionable feedback with LLMs by comparing engineer actions against ground truth sequences.

Full Stack Developer at BİSOFT BİLGİ TEKNOLOJİLERİ A.Ş

September 1, 2024 - August 4, 2025

Led the development of a Manufacturing Execution System to optimize factory production schedules and reduce overlapping issues, building backend with Java Spring Boot and frontend with Vue.js. Developed dynamic production scheduling logic using OptaPlanner and MiniZinc. Worked on Vispeahen, a data visualization and BI tool, enhancing frontend with React.js and backend with Java and Python. Built a secure local chatbot that processes internal PDFs for information retrieval using vector embeddings and GPT-4All, deployed in a Dockerized REST API environment, managing full project lifecycle under CFO supervision.

Long Term Intern at BÜYÜTECH

August 1, 2022 - August 4, 2025

Developed an embedded camera system for traffic sign detection and recognition to assist driving. Applied transfer learning to improve model accuracy using real-world data and compared several trained models to select the most accurate. Utilized Python and C++ with YOLOv5 and TensorFlow frameworks to implement and optimize the system.