AI Engineer with 6 years of experience designing enterprise-grade AI, Generative AI, and machine learning solutions. Proven expertise in developing intelligent document processing systems, AI copilots, conversational AI, forecasting models, and recommendation engines using modern LLM frameworks, cloud platforms, and MLOps practices.
Expertise & skills
Selected projects
Insurance Underwriting AI Copilot
Developed an AI copilot that analyzed underwriting documents, summarized risk factors, and assisted underwriters in faster decision-making.
- Built document ingestion pipelines.
- Implemented RAG using vector embeddings.
- Optimized prompts for underwriting workflows.
- Integrated enterprise APIs.
- Improved document review efficiency.
Smart Traffic Prediction Platform
Built forecasting models to predict traffic congestion using historical and real-time transportation data.
- Engineered data pipelines.
- Developed deep learning forecasting models.
- Automated retraining workflows.
- Delivered prediction APIs.
Procurement Document Intelligence
Created an AI solution to extract key information from procurement documents and generate executive summaries.
- Built document indexing pipelines.
- Implemented semantic retrieval.
- Designed secure REST APIs.
- Improved summary quality through prompt tuning.
Personal Finance Recommendation Engine
Developed a recommendation platform that generated personalized financial insights and savings recommendations.
- Built recommendation models.
- Performed feature engineering.
- Optimized prediction performance.
- Deployed scalable inference APIs.
Core competencies
Certifications
- Microsoft Certified: Azure AI Engineer Associate
- AWS Certified Machine Learning – Specialty
- Generative AI with Large Language Models
- Hugging Face NLP Professional
- LangChain for Enterprise AI Applications
Education
Bachelor of Engineering (Information Technology)
Gujarat Technological University
Achievements
- Delivered 20+ AI-driven enterprise projects.
- Reduced underwriting document review time by 65%.
- Improved forecasting accuracy by 27% through model optimization.
- Developed reusable AI services adopted across multiple business units.
- Successfully deployed scalable AI solutions on Kubernetes clusters.
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