Valentina S. — AI Researcher
💜Hi, I’m Valentina. I’m a Machine Learning Engineer specializing in NLP, LLM-assisted data curation, and transformer-based modeling. I build systems that extract structure from unstructured text — classification models, entity extractors, context-aware transformers, and large-scale semantic understanding pipelines. My work spans end-to-end ML development: dataset engineering, model design, fine-tuning, evaluation, and deployment using Python, PyTorch, Hugging Face, and GCP (Vertex AI, BigQuery, PySpark). I’m deeply interested in representation learning, embeddings, hierarchical modeling, and scalable ML systems that support real-world analytics, ranking, and personalization. I thrive in fast-moving environments where problems are ambiguous, datasets are messy, and the solution requires research-level thinking paired with practical engineering.
Stackforce AI infers this person is a Machine Learning Engineer specializing in NLP and scalable AI solutions.
Location: New York City, New York, United States
Experience: 1 yr 3 mos
Skills
- Large Language Models (llm)
- Data Annotation
- Natural Language Processing (nlp)
- Machine Learning
- Data Analysis
- Robotic Process Automation (rpa)
- Data Science
Career Highlights
- Expert in NLP and transformer-based modeling.
- Developed scalable LLM-assisted data pipelines.
- Achieved significant accuracy improvements in ML models.
Work Experience
Meta
Data Labeling Analyst IV (4 mos)
Julius
Machine Learning Engineer (8 mos)
Omdena
Junior Machine Learning Engineer (1 yr)
Springboard
Data Scientist Fellow (1 yr 3 mos)
Cognitus Consulting
RPA Developer Intern (1 mo)
Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)
Research Intern in Underwater Robotics (2 mos)
Education
Bachelor of Science | Minor in Industrial Engineering and Management at Jacobs University Bremen
Data Science Career Track | Machine Learning at Springboard
High School/Secondary Diplomas and Certificates at Coral Reef Senior High School
at Miami Dade College
