🌍 Hello, world, and greetings!

Hello there! 👋 I’m Stepan, a highly motivated professional with a strong background in Machine Learning, Computer Science, and Data Science.

Currently pursuing a Master’s degree in Computer Science at Fordham University, I am deeply engaged in cutting-edge research as a Graduate Research Assistant. My focus lies in developing a Neural Framework for Discovering Spurious Components in LLM Decisions, employing innovative methods for LLM-generated representations using a Sandbox network.

📑 Papers & Conferences:

• Multimodal News Source Classification with NLP Transformers (2022) [ICTERI, Code]
• Space Model Framework for Conceptual Modelling in NLP (2023) [AAAI, ArXiv, Code]
  • 🎉 Best paper award
  • 🌟 Spotlight Presentation
  • 🌟 AGI Leap Summit 2024
• Transformer Context Attribution for Fake News Detection (2024) [ICLR, ArXiv, Code]

🔭 Focus & Interests

Deep Learning & Natural Language Processing (NLP) have captivated my heart and mind. The potential in these branches of machine learning is vast, and I’m all in!

🧰 Professional Toolkit

• Languages: Python, GoLang, C++, SQL
• Technologies: Databricks, PySpark, Hive, PyTorch, Tensorflow, PostgreSQL, NoSQL (Redis, Mongo)
• Tools: gRPC, REST, Docker, Terraform, Bash, AWS, Google Cloud

Let’s connect and explore how we can collaborate to achieve great things! Feel free to reach out via Email, or connect with me on GitHub. Looking forward to engaging in discussions! 🌟