I am a Machine Learning Engineer with a strong focus on applied AI.
I have a deep interest in world models in AI and enjoy exploring how machines can understand and simulate the real world.
I am passionate about reading research papers and staying up-to-date with the latest advancements in AI.

• Machine Learning & Deep Learning
• Python, PyTorch, NumPy, Pandas
• Natural Language Processing (NLP)
• Generative AI and Large Language Models

• GPT-2 from Scratch: Built a GPT-2 style language model from scratch and fine-tuned it on classification tasks to detect spam and ham messages.
• RAG-based Multi-Document Application: Developed a Retrieval-Augmented Generation application for multi-document QA.
• Book Recommender System: Built a recommendation system using AI to suggest books based on content and user preference.

• Hands-on experience in building and fine-tuning large language models for real-world applications.
• Practical exposure to generative AI pipelines and implementing world models concepts.
• Focused on applied AI solutions that combine research insights with production-ready systems.