AI Engineer with 4 years of experience building production-ready AI applications using Large Language Models, Retrieval-Augmented Generation (RAG), AI agents, and machine learning. Experienced in Python, LangChain, CrewAI, FastAPI, AWS Bedrock, vector databases, and scalable cloud deployments.
Expertise & skills
Selected projects
Financial Document Intelligence
Key Responsibilities
- Built AI pipeline for financial statement analysis.
- Implemented RAG for regulatory documents.
- Developed FastAPI services.
Core competencies
Certifications
- AWS Certified AI Practitioner
- Generative AI Essentials
- Prompt Engineering for Developers
Education
Bachelor of Technology (B.Tech) in Artificial Intelligence and Data Science
Parul University
- 2022
Graduation Year:
Achievements
- Reduced document review effort by 68%.
- Improved analysis turnaround time.
- Multi-Agent HR Assistant
- Technologies: Python, CrewAI, FastAPI
- Key Responsibilities
- Designed AI agents for recruitment workflows.
- Automated resume screening and interview scheduling.
- Integrated enterprise HR APIs.
- Reduced HR manual effort by 60%.
- E-commerce Product Copilot
- Technologies: Python, OpenAI, Weaviate
- Built AI assistant for product search and recommendations.
- Implemented semantic search.
- Improved customer engagement.
- Sales Forecasting Platform
- Technologies: Python, TensorFlow, PostgreSQL
- Developed forecasting models.
- Created automated reporting APIs.
- Improved forecast accuracy.
Similar engineers
Other Generative AI engineers with comparable experience.



