Salesforce Engineer (AI & Automation Focus)

FINANCIAL SERVICES AUTOMATION & LIFECYCLE MANAGEMENT

About the Project

The project aimed to improve lifecycle management of financial clients within Financial Services Cloud. The client struggled with fragmented processes, inconsistent data handling, and manual intervention across multiple stages of client interaction. A scalable automation layer was implemented to standardize workflows and ensure consistent handling of client data and processes.

• Fintech

Responsibilities

Designed and implemented complex Flow-based automation for client lifecycle management. Built scalable process logic ensuring consistency across multiple interaction scenarios. Identified inefficiencies in existing workflows and proposed improvements. Ensured data integrity across objects and business processes. Resolved high-priority production issues to maintain system reliability. Worked directly with stakeholders to align system behavior with business needs.

AI-DRIVEN WORKFLOW OPTIMIZATION (AGENTFORCE)

About the Project

The client faced inefficiencies in handling repetitive internal and customer-facing processes, leading to high manual workload, delays in response times, and inconsistent execution of business workflows. The challenge was to design an intelligent automation layer capable of handling dynamic scenarios while integrating seamlessly with existing Salesforce processes. Designed and implemented AI-driven workflow logic using Agentforce, enabling automated handling of internal and customer interactions. Built structured automation scenarios combining declarative tools with custom logic, ensuring flexibility and scalability of the solution. Collaborated directly with stakeholders to translate business needs into automation logic, significantly reducing manual operations and improving consistency of process execution.

• Consulting Services

Responsibilities

Designed and implemented AI-driven workflow logic using Agentforce to automate operational processes. Built intelligent automation scenarios handling customer and internal interactions. Translated business requirements into structured AI-driven automation logic. Delivered end-to-end implementation combining declarative tools and custom logic. Collaborated directly with stakeholders to refine automation strategies. Ensured reliability and consistency of automated processes across workflows.

LEGACY UI MODERNIZATION (VISUALFORCE TO LWC)

About the Project

The project focused on modernizing a legacy Salesforce system by migrating Visualforce-based UI to Lightning Web Components. The existing system suffered from performance limitations, outdated UI patterns, and poor maintainability. A new UI architecture was designed using LWC to improve performance, scalability, and user experience.

• Management

Responsibilities

Led migration of legacy Visualforce components to modern LWC architecture. Designed and implemented reusable UI components aligned with Lightning standards. Improved application performance and responsiveness through optimized data handling. Ensured feature parity while enhancing usability and maintainability. Collaborated with stakeholders to validate UI/UX improvements.

CRM BUSINESS PROCESS AUTOMATION & OPTIMIZATION

About the Project

The project involved building and optimizing core CRM processes to support sales and service operations. The client experienced inefficiencies in lead handling, manual data updates, and lack of process standardization. Automation and structured logic were implemented to streamline operations and reduce manual workload.

• Sales

Responsibilities

Designed and implemented automation logic using Apex and Flow for core CRM processes. Automated lead and opportunity handling to improve process efficiency. Gathered business requirements and translated them into scalable technical solutions. Improved data handling and consistency across Salesforce objects. Delivered enhancements aligned with business needs and best practices.