Natural Language Processing (NLP) Engineer with 2 years of hands-on experience building text analytics solutions, language understanding applications, chatbots, and transformer-based NLP models. Skilled in Python, spaCy, NLTK, Hugging Face Transformers, BERT, FastAPI, and Azure AI Services. Experienced in text preprocessing, named entity recognition, sentiment analysis, document classification, and model deployment.
Expertise & skills
Selected projects
Customer Feedback Sentiment Analyzer
Developed an NLP application to classify customer feedback into positive, neutral, and negative sentiments.
- Collected and cleaned textual datasets.
- Built preprocessing pipelines.
- Fine-tuned transformer models.
- Created REST APIs using FastAPI.
- Evaluated model performance using F1-score.
Document Classification System
Built an AI solution to automatically categorize enterprise documents.
- Performed feature extraction.
- Trained text classification models.
- Integrated Hugging Face models.
- Optimized inference performance.
- Tested deployment pipelines.
Named Entity Recognition Platform
Developed a system to extract people, organizations, dates, and locations from documents.
- Implemented NER using spaCy.
- Customized entity labels.
- Validated extraction accuracy.
- Built API endpoints.
- Prepared technical documentation.
Multilingual FAQ Assistant
Created an NLP-based assistant capable of understanding and answering multilingual queries.
- Integrated language detection.
- Implemented semantic search.
- Designed conversational workflows.
- Improved response accuracy.
- Supported deployment activities.
Ways of working
Certifications
- Microsoft Certified: Azure AI Fundamentals (AI-900)
- Hugging Face NLP Course
- Natural Language Processing Specialization
- Python for Data Science – NPTEL
Education
- 2024
Master of Technology (M.Tech.) – Artificial Intelligence
Gujarat Technological University (GTU)
- 2022
Bachelor of Engineering (B.E.) – Computer Engineering
Gujarat Technological University (GTU)
Achievements
- Built multiple NLP solutions using transformer models.
- Improved document classification accuracy through feature engineering.
- Developed scalable NLP APIs for enterprise applications.
- Implemented multilingual language understanding solutions.
Similar engineers
Other AI / ML engineers with comparable experience.
