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.