Building intelligent systems at the intersection of deep learning, large language models, and real-world impact. Turning data into decisions, and models into products.
I'm Nirmal Kumar, an AI Engineer passionate about designing, training, and deploying intelligent systems that solve complex real-world problems. I specialize in building the full stack of AI — from raw data pipelines to production-ready models.
My core focus lies in Large Language Models, Deep Learning architectures, and Natural Language Processing. I believe AI should be explainable, ethical, and impactful.
When I'm not training models, I'm reading research papers, contributing to open-source AI projects, and exploring the boundaries of what machines can learn.
A production-grade Retrieval-Augmented Generation system built with LangChain, FAISS, and GPT-4. Enables semantic search and contextual Q&A over enterprise documents with 94% accuracy.
View ProjectFine-tuned BERT model for multi-class sentiment analysis on social media data. Deployed as a REST API handling 10K+ requests/day.
View ProjectEnd-to-end automated ML pipeline that handles data ingestion, feature engineering, model selection, and hyperparameter tuning with minimal human intervention.
View ProjectOpen to AI engineering roles, research collaborations, and freelance projects. Let's push the boundaries of what's possible.