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Vetted Machine Learning Professionals
Pre-screened and vetted.
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
Mid-level Data & Machine Learning Professional specializing in analytics and automation
Sujay Godala
Entry-level student leader and developer specializing in FinTech and AI
“Student leader with a mix of technical and business exposure: built AI-powered projects like PETQuest, served as President of FBLA and DECA, and led outreach for a Finance Club. Stands out for combining hackathon coding success (top 1-3 placements) with leadership experience managing and organizing activities for 200+ students.”