Machine Learning Engineer focused on building scalable AI systems, deep learning architectures, and production-level ML pipelines.
I specialize in implementing models from scratch and understanding how AI systems actually work under the hood.
- ML Systems & Deep Learning
- Transformer Architecture Design
- Backend + AI Integration
- Research-to-Production Pipelines
AI / ML Python • NumPy • Pandas • Scikit-learn • PyTorch • TensorFlow • Transformers • NLP • Custom RAG Models
Backend Python • Flask • Fast APIs
Tools Linux • Git • Docker • Jupyter
rslearn-ML
Custom ML framework inspired by Scikit-learn with preprocessing, training, and evaluation pipeline. Deployed on PyPI.
Decoder Style Transformer
Complete transformer architecture built from scratch with attention mechanism and training system.
Kayo
AI Virtual Voice Assistent using Gemini API.
Building next-generation AI systems and advancing toward high-performance ML engineering roles in top AI companies.