🌟 About Me
I am an AI/ML Engineer with a strong focus on building scalable, production-ready machine learning systems. My passion lies in pushing the boundaries of Natural Language Processing (NLP) and Reasoning Models, especially for low-resource languages. With a keen interest in MLOps, I bridge the gap between research and real-world impact by delivering end-to-end machine learning pipelines.
💼 What I'm Working On
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Personal Projects:
- Fine-tuning transformer models for low-resource NLP
- Exploring LLMs for advanced reasoning tasks
- Edge AI deployment using TFLite and ONNX
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Workspace Initiatives:
- Architecting scalable AI pipelines with MLOps principles
- Automating model deployment with CI/CD tools like Docker and Kubernetes
📚 What I'm Learning
- State-of-the-art methods for low-resource NLP
- Optimizing large language models for production
- Advanced MLOps workflows with tools like Airflow, MLflow, and Kubeflow
💬 Let's Talk About
- Natural Language Processing (NLP): Tokenization, transformers, embeddings, and more.
- LLMs & Generative AI: Fine-tuning, inference optimization, and applications.
- MLOps: CI/CD pipelines, monitoring, model versioning, and scalability.
- Backend AI Deployment: API design, cloud-based scaling, and serverless AI.
✨ Fun Fact
When not building ML models, I'm brainstorming ways to make transformers better for low-resource languages—or enjoying anime as a proud member of the Survey Corps! 🎯🛡️