AI Engineer with 6 years of experience delivering end-to-end AI and Generative AI solutions for enterprise applications. Experienced in developing intelligent automation platforms, LLM-powered assistants, recommendation systems, and predictive analytics solutions. Strong knowledge of Python, LangGraph, TensorFlow, Hugging Face, OpenAI APIs, vector databases, and cloud-native AI deployment.
Expertise & skills
Selected projects
Insurance Claims Intelligence Platform
Developed an AI solution to analyze insurance claim documents, summarize claim details, and assist adjusters with faster decision-making.
- Designed a RAG-based document retrieval pipeline.
- Implemented semantic search using vector embeddings.
- Developed prompt templates for claim summarization.
- Integrated REST APIs for enterprise applications.
- Improved document review efficiency through AI automation.
Retail Demand Forecasting
Built a demand forecasting platform to improve inventory planning across retail stores.
- Developed forecasting models using historical sales data.
- Engineered data preprocessing pipelines.
- Optimized model performance for production deployment.
- Automated daily prediction workflows.
Legal Document AI Assistant
Created an AI assistant capable of answering legal document queries and generating concise summaries.
- Built multi-agent workflows.
- Implemented conversation memory.
- Integrated document ingestion pipelines.
- Improved answer relevance with prompt optimization.
Fraud Detection Analytics
Developed an ML-based fraud detection solution for transactional data.
- Built anomaly detection models.
- Performed feature engineering.
- Developed monitoring dashboards.
- Improved fraud detection accuracy through model tuning.
Core competencies
Certifications
- AWS Certified AI Practitioner
- Microsoft Certified: Azure AI Engineer Associate
- Generative AI with Large Language Models
- TensorFlow Developer Certificate
- LangGraph for AI Agent Development
Education
Bachelor of Engineering (Information Technology)
Gujarat Technological University
Achievements
- Delivered 20+ AI and machine learning solutions.
- Reduced document processing time by 68% using AI automation.
- Improved prediction accuracy by 25% through feature engineering.
- Built reusable AI components adopted across multiple enterprise projects.
- Successfully deployed scalable AI applications on cloud platforms.
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