I’m an ML engineer who builds fast, production-ready prototypes and clean data pipelines. My hands-on experience includes BERT fine-tuning for sentiment and text classification, graph-based recommenders (Node2Vec / GraphSAGE), and wrapping models into FastAPI endpoints with Docker.
I focus on reproducible deliverables: Jupyter notebooks, model checkpoints, inference scripts, and clear run instructions so clients can validate and extend work easily. For example, in my DamTechhub internship I improved a GraphSAGE recommender’s validation AUC and produced a working FastAPI inference endpoint.
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