Shosei Abe
Leányka utca 2, Eger, Hungary 3300
Mobile: (+36)70-771-6906 E-mail: syousei1999@gmail.com
PERSONAL SUMMARY
Computer Science graduate specializing in AI/ML with hands-on experience deploying LLM-based systems. Winner of ElevenLabs Global Hackathon (2026). Proficient in PyTorch, LangChain, and production ML pipelines. Seeking AI Engineer role to apply research-driven solutions to real-world problems.
SKILL SET
- Core AI/ML: PyTorch, TensorFlow, HuggingFace Transformers, LangChain, RAG, Fine-tuning, RLHF
- Engineering: Python, Docker, Kubernetes, AWS (SageMaker, Lambda), CI/CD, Git
- Data: PostgreSQL, MongoDB, Airflow, Spark, ETL, Data Visualization (Plotly, Streamlit)
- Web & Mobile: JavaScript, TypeScript, React, React Native, Node.js, Express
- Additional: C#, .NET, Java, Rust, Kotlin, C++, PHP, Formal Methods (Z3, Coq/Lean)
WORK EXPERIENCE
Refonte Learning
Dec 2024-Jun 2025
Data Engineering Intern
- Developed ETL pipelines and optimized database performance for large-scale data processing.
- Worked with cloud-based data warehouses and implemented data visualization dashboards.
- Deployed ML models into real-time analytics pipelines.
DENSO Corporation
Apr 2018-Aug 2022
Production Control
- Managed supply chain operations for automotive manufacturing
EDUCATION
Eszterhazy Karoly Catholic University - Hungary
Expected 06/2026
Bachelor of Science: Computer Science, Specialization in Data Science & Artificial Intelligence
GPA: 4.60 / 5.00
Stipendium Hungaricum Scholarship, 2024 from Tempus public foundation
PROJECTS
AGI/AI Safety Research
Jul 2025-Present
- Bachelor Thesis: Designing a Self-Improving Research Agent: A Practical Step Towards AGI with Formal Verification.
- Built an LLM-based autonomous research agent with iterative self-improvement.
- Integrated formal verification (Z3, Coq/Lean) for provable safety and correctness.
- Implemented LangGraph prototype for recursive research, document/code generation, and feedback-driven optimization.
UrbanSpace Optimizer
Dec 2024-Current
- Hungarian Startup University Program's Project.
- Built an AI-powered real-time curbside optimization system using IoT sensors & AI analytics to reduce urban congestion, enhance traffic safety, and optimize mobility.
Friction - Global Hackathon Winner
- Winner (1st Place) at ElevenLabs World Wide Hackathon 2026 (The world's largest AI hackathon).
- Deployed conversational AI agent using ElevenLabs Voice API + GPT-4
- Achieved 73% reduction in impulse purchases in user testing (n=150)
- Tech stack: React Native, Node.js, LangChain, Pinecone vector DB
- Processed 10K+ user conversations with <500ms latency
PUBLICATIONS
Abe, S. (2025). "Explainable Artificial Intelligence in Autonomous Systems: Navigating Transparency and Safety in Critical Decision Environments." [Under Review/Preprint available on request]
LANGUAGE
- English: C1 – Advanced, CEFR (verified by EF SET Certificate)
- Japanese: Native
- German: B1 – Intermediate, CEFR
- Hungarian: A2 – Elementary, CEFR
ADDITIONAL INFORMATION
Volunteer:
- English Camp Assistant, Alive English School Summer Camp - 2017
- Information Desk, International Startup Event - 2023
Awards:
- 1st Place Winner, Elevenlabs World Wide Hackathon, Budapest (World biggest hackathon) - 2026
- Winner, Builders Weekend Hackathon, Tokyo (with Kraken Technologies) - 2023
- Finalist, OVAL (East Asia's largest business contest) - 2023
- Finalist, GEIL (Japan's largest policy-making contest) - 2023
- 6th Place, Junction X Budapest (Hungary's largest hackathon) - 2023
Scholarships:
- Stipendium Hungaricum Scholarship (Fully Funded Scholarship) - 2024
- Hungarian Startup University Program Scholarship (Top 200/3000) - 2025