NLP & Language AI

What it covers

Build NLP solutions for classification, semantic matching, question answering, and document workflows. Engagements use transformers, Hugging Face tooling, and lightweight Python inference APIs — the same stack used across NLP internships and production-ready screening systems.

Business value

Automate text-heavy workflows and improve ranking, matching, and understanding of unstructured language data.

Features

• Sentiment and text classification
• Semantic resume/job matching
• Question answering over documents
• Skill extraction and ranking
• Lightweight Flask/FastAPI inference APIs

Process

• Use-case definition — Clarify inputs, labels, languages, and success criteria for the text workflow.
• Model & pipeline build — Select embeddings or transformers, preprocess data, and evaluate ranking/quality.
• API delivery — Expose a usable API/UI path for upload, inference, and result review.

Technologies

• Python
• Hugging Face
• Sentence Transformers
• scikit-learn
• NLTK
• Flask
• FastAPI
• BERT
• GPT