AI Engineer with 4 years of experience in Natural Language Processing, Machine Learning, Generative AI, and MLOps. Experienced in developing intelligent document processing solutions, conversational AI, recommendation engines, and end-to-end ML pipelines for enterprise applications.
Expertise & skills
Selected projects
AI-Powered Legal Document Assistant
Designed a legal document intelligence platform that extracts clauses, summarizes contracts, and answers user queries using LLMs.
Personalized Product Recommendation Engine
Developed a hybrid recommendation system using collaborative filtering and deep learning to improve customer engagement.
Voice-Based Customer Support Assistant
Built a speech-enabled AI assistant capable of understanding customer intent and generating contextual responses.
Ways of working
Certifications
- AWS Certified Machine Learning – Specialty
- Google Generative AI Learning Path
- Hugging Face NLP Course
- Docker Certified Associate (Training)
Education
Bachelor of Technology (Computer Science & Engineering)
Achievements
- Increased document processing efficiency by 55% through AI automation.
- Improved recommendation accuracy by 30% using hybrid ML models.
- Deployed scalable ML pipelines reducing release cycles by 40%.
- Successfully delivered AI solutions across legal, retail, and customer service domains.
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