Building intelligent systems at the intersection of deep learning, scalable backend architecture, and applied AI.
I'm a Machine Learning Engineer with a focus on designing and deploying intelligent systems — from training neural networks to building the backend infrastructure that serves them at scale. My work spans the full ML lifecycle: data pipelines, model development, API integration, and production deployment.
- 🧠 Current focus: LLM fine-tuning, model optimization, and applied deep learning
- 🔬 Research interest: Improving large language model architectures and training efficiency
- ⚙️ Engineering background: Distributed systems, REST APIs, and ML-serving infrastructure with Django & Flask
- 🤝 Open to collaborate on: ML research projects, LLM applications, and backend systems
- 💬 Ask me about: Neural networks, model training pipelines, or Python-based ML workflows
Machine Learning & Data Science
Backend & APIs
Databases
Systems & Web
