You will get seamless integration of QuickBooks Online Customer List.
Project details
The project focuses on integrating QuickBooks Online (QBO) customer data into a streamlined web interface for Leon Lebeniste, a company specializing in fine furnishings and architectural woodwork. The integration will display a comprehensive customer list, including key details such as QBO ID, display name, given name, family name, middle name, suffix, company name, and name to print on checks.
The primary goal is to centralize customer information in a user-friendly interface, improving operational efficiency by reducing manual data entry, minimizing errors, and enhancing data accessibility. This integration will streamline customer management processes, making it easier for team members to access, update, and utilize accurate customer data. The intuitive interface will support faster customer inquiries, order processing, and service delivery.
With this solution, Leon Lebeniste will benefit from improved CRM, ensuring up-to-date customer data for accurate invoicing, communication, and customer service. The system is designed to scale as the business grows, offering flexibility for future expansion while maintaining seamless integration for continuous operations.
The primary goal is to centralize customer information in a user-friendly interface, improving operational efficiency by reducing manual data entry, minimizing errors, and enhancing data accessibility. This integration will streamline customer management processes, making it easier for team members to access, update, and utilize accurate customer data. The intuitive interface will support faster customer inquiries, order processing, and service delivery.
With this solution, Leon Lebeniste will benefit from improved CRM, ensuring up-to-date customer data for accurate invoicing, communication, and customer service. The system is designed to scale as the business grows, offering flexibility for future expansion while maintaining seamless integration for continuous operations.
Programming Languages
HTML & CSS, JavaScript, ASP.NETCoding Expertise
Performance Optimization, DesignWhat's included $1,000
These options are included with the project scope.
$1,000
- Delivery Time 7 days
- Number of Revisions 0
About Dhaval
AI/ML Engineer | Generative AI | LLMs | RAG | Data Engineering |Python
Elgin, United States - 10:47 am local time
With over 8+ years of experience in AI/ML engineering, data engineering, and cloud-native development, I specialize in designing and deploying production-ready AI solutions using:
• Python & SQL
• GPT-4, Mistral & Large Language Models (LLMs)
• LangChain & Retrieval-Augmented Generation (RAG)
• Hugging Face Transformers
• AWS (SageMaker, Lambda, S3, Redshift)
• GCP (Vertex AI, BigQuery)
• Apache Spark, Kafka, Flink & Airflow
• Docker, Kubernetes & MLflow
What I Deliver
• Custom AI assistants, chatbots, and enterprise knowledge search solutions
• RAG-based applications with vector search and document intelligence
• LLM fine-tuning, prompt engineering, and AI workflow automation
• Fraud detection, anomaly detection, and risk modeling systems
• Machine learning pipelines from data ingestion to production deployment
• NLP solutions for document processing, summarization, sentiment analysis, and classification
• Real-time recommendation engines and personalization platforms
• Scalable ETL/ELT pipelines and cloud data engineering solutions
• MLOps implementation, model monitoring, and automated retraining workflows
• REST APIs and backend services for AI-powered applications
Recent Enterprise Projects
• Built AI-powered knowledge assistants using GPT-4, LangChain, and RAG architectures, enabling real-time retrieval of enterprise information and reducing manual search efforts.
• Developed fraud detection and anomaly detection platforms using machine learning, streaming analytics, and behavioral modeling to identify suspicious transactions in real time.
• Implemented recommendation and personalization engines that generated dynamic content, product recommendations, and pricing strategies based on customer behavior and inventory trends.
• Designed and optimized large-scale cloud data platforms using AWS and GCP, processing millions of records through automated ETL pipelines and analytics workflows.
• Delivered NLP solutions for document summarization, compliance reporting, sentiment analysis, and intelligent document classification using transformer-based models.
Why Clients Work With Me
• I combine deep AI expertise with strong software engineering and data engineering foundations.
• I build production-ready solutions—not just proofs of concept.
• I focus on scalability, security, maintainability, and measurable business outcomes.
• I provide end-to-end ownership—from discovery and architecture to development, deployment, and optimization.
• I stay aligned with business goals while leveraging the latest advancements in Generative AI and machine learning.
If you're looking to build an AI assistant, implement Generative AI, automate business processes, modernize your data platform, or deploy machine learning solutions at scale, I'd be happy to help.
Let's build intelligent solutions that drive real business value.
Steps for completing your project
After purchasing the project, send requirements so Dhaval can start the project.
Delivery time starts when Dhaval receives requirements from you.
Dhaval works on your project following the steps below.
Revisions may occur after the delivery date.
Client purchase and requirements gathering
Project setup and data extraction