I am a passionate Salesforce Developer from India with a knack for solving complex problems using Salesforce tools and technologies. My expertise lies in developing and optimizing Salesforce applications to meet business needs efficiently.

• Apex: Proficient in writing Apex classes, triggers, batch jobs, and test classes.
• Visualforce: Experienced in creating Visualforce pages and components.
• Lightning Components: Skilled in developing Lightning Web Components (LWC) and Aura Components.
• Salesforce APIs: Knowledgeable in integrating external systems with Salesforce using REST and SOAP APIs.
• Declarative Development: Expertise in using Salesforce's point-and-click tools like Process Builder, Flow, and Workflow Rules.

• HTML/CSS: Proficient in creating responsive web pages.
• JavaScript: Experienced in writing JavaScript for both client-side and server-side operations.
• CSS Frameworks: Familiar with Bootstrap, Tailwind and other CSS frameworks.

• Version Control: Experienced in using Git and GitHub for version control.
• CI/CD: Knowledgeable in using tools like Jenkins, GitHub Actions for continuous integration and continuous deployment.
• Salesforce DX: Proficient in Salesforce DX for source-driven development.

• Problem Solving: Strong analytical skills with a focus on solving complex business problems.
• Communication: Excellent communication and collaboration skills.
• Project Management: Experience in Agile methodologies and using tools like Jira.

Here are a few notable projects that showcase my skills and expertise:

• Description: The project is a website for a restaurant that showcases its menu, customer reviews, and other key information to enhance the dining experience.
• Technologies Used: HTML, CSS, JavaScript.
• Key Features: Detailed menu with diverse cuisine options. Customer review section for feedback. Image gallery of dishes. Contact and location information. Emphasis on fresh ingredients and excellent service.

• Description: This project implements a face recognition system that identifies and records attendance based on detected faces from a webcam or image input.
• Technologies Used: Python, OpenCV, NumPy, Pandas, Jupyter Notebook.
• Key Features: Real-time face detection and recognition. Attendance tracking and logging in CSV format. Uses pre-trained models for face detection. Includes a Jupyter Notebook for detailed analysis and experimentation.

Feel free to check out my repositories and get in touch if you would like to collaborate on any interesting projects or need help with Salesforce development!

Thanks for stopping by! 😊