Bench+BENCH+ PROFILE
Senior ML Engineer focused on NLP-heavy applied systems, with hands-on work across model fine-tuning, entity recognition, metric learning, LLM integration, backend APIs, and containerized deployment.
BEST-FIT USE CASE
Not the primary fit: Less aligned with roles centered primarily on frontend development, pure platform operations, product management, or long-term time-series specialization.
EVIDENCE HIGHLIGHTS
Implemented a document anonymization application using a fine-tuned BERT-based NER model, file parsing logic, backend APIs, automated tests, and containerized deployment.
Worked on an AI support assistant with data anonymization, intent classification, GPT-based response generation, vector retrieval, backend integration, and containerized orchestration.
Built a multimodal duplicate-detection service using transformer text encoders, image similarity components, metric learning, an ensemble decision layer, REST API delivery, and reproducible data workflows.
Developed an NLP service for mapping customer reviews to referenced products using named entity recognition, sentence-transformer metric learning, LLM-based ambiguity resolution, and experiment tracking.
Worked on automated content moderation using generated training annotations, fine-tuning of a large language model, inference optimization, and evaluation procedures.
Built predictive analytics and reporting workflows using classification models, SQL-based extraction, statistical analysis, visualization, and scheduled orchestration.