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Vetted scikit-learn Professionals
Pre-screened and vetted.
Intern Full-Stack & Machine Learning Developer specializing in MERN and real-time systems
Junior Full-Stack Developer specializing in React, Node.js, and AI/ML
Entry AI Engineer specializing in machine learning, computer vision, and data mining
Entry Data Scientist specializing in applied mathematics and predictive modeling
richi ibnu wardana
“Built an automated ML/NLP document classification system for unstructured legal documents, combining classical models (TF-IDF + logistic regression/random forest) with entity resolution via fuzzy matching validated by precision/recall. Also implemented semantic similarity search using sentence embeddings stored in FAISS and improved matching by fine-tuning a transformer on domain-specific data and tuning similarity thresholds for fewer false positives.”
Intern Machine Learning Engineer specializing in NLP, RAG, and time-series forecasting