Salesforce Lead Developer - AI & Data Solutions

Sweetie Vasanthini Noble Tagore 312-***-****

Salesforce Lead Developer *******.****@*****.***

Professional Summary

Senior Salesforce Lead & AI Solutions Developer with 17+ years of IT experience, including 5+ years of dedicated Salesforce development across Sales, Service, and Experience Cloud platforms.

3+ years’ experience designing AI-driven solutions using Salesforce Data Cloud, Einstein (Prediction Builder, Discovery, Next Best Action), Einstein GPT, and generative AI prompt-driven workflows in Salesforce Flows.

Advanced Apex & UI Expertise: Specialist in bulkified Apex development (Batch, Queueable, Future, Schedulable), dynamic Lightning Web Components (LWC) with modern JavaScript (ES6+), Visualforce, and complex data models/sharing architecture.

AI & API Integrations: Proven track record integrating external AI/ML services (OpenAI, AWS SageMaker) via REST APIs and real-time asynchronous AI inference using Platform Events.

Field Service & Application Extensions: Experienced in custom integrations connecting Sales/Service Cloud with field service platforms (Dispatch.me).

DevOps & Quality Enforcement: Hands-on experience with Azure DevOps, Copado CI/CD pipelines, automated testing, and secure code review practices.

Certifications: 3X Salesforce Certified (Administrator, Platform Developer I and II) and 5X AWS Certified (Solution Architect Pro, Security Specialty, Developer Associate, Solution Architect Associate, Cloud Practitioner).

Skills Profile

Technical

Salesforce AI & Data

Salesforce Data Cloud, Einstein (Prediction Builder, Discovery, Next Best Action), Einstein GPT, Generative AI Flow Prompts, Responsible AI Principles

Salesforce Development

Apex (Batch, Queueable, Future, Schedulable), Lightning Web Components (LWC), Visualforce, SOQL, SOSL, Process Builder, Workflows, Flow Builder

Architecture & Security

Sales Cloud, Service Cloud, Experience Cloud, Data Modeling, Role Hierarchies, Sharing Rules, Security Architecture, Validation Rules, Approval Processes

DevOps & Testing

Azure DevOps, Copado, Apex Unit Testing (Bulkification, High Coverage), CI/CD Pipelines, Code Reviews

Languages

Apex, JavaScript (ES6+), HTML, SOQL, SOSL, Java, Groovy

Certifications

Functional

Management and Leadership Skills

Ability to handle the project implementing the best practices, co-ordinate within the team and suggest changes to improve the efficiency and performance of the system.

Training & Development

I believe in a learning organization, where learning is a continuous process. Attended extensive functional-cum-technical training program with the Project.

Professional Experience

Project: Consumer Relationship & Ops (Capgemini & Transunion)

Jan 2025– till date

Sr. Salesforce Lead & AI Solutions Architect

Project Description:

Consumer Relations Systems (CRS) is a suite of applications and technical capabilities to enable consumers to access credit reports, meet regulatory obligations and generate revenue. The Salesforce is a key pillar in the Omni Channel Strategy to deliver a scalable CRM solution to Consumer Operations team across the globe. Architecture vision is to enable Contact center using amazon connect and AWS cloud application.

Responsibilities:

Architectural lead for Global Consumer Relations Systems (CRS) and Omni-Channel strategy, directing Salesforce CRM migrations, Sales/Service Cloud integrations, and AWS contact center enablement.

Designed and implemented AI-driven solutions leveraging Salesforce Data Cloud, Einstein Prediction Builder, and Next Best Action to automate lead scoring, case classification, and real-time recommendations.

Built prompt-driven workflows using generative AI (Einstein GPT / OpenAI) within Salesforce Flows to automate context-aware customer service agent actions.

Integrated external AWS Services via REST APIs and Platform Events for real-time asynchronous AI inference and predictive analytics.

Developed scalable, bulkified Apex solutions utilizing Batch, Queueable, Schedulable, and Future methods, maintaining >90% unit test coverage and strict code quality standards.

Engineered dynamic UI solutions using Lightning Web Components (LWC) with advanced JavaScript (ES6+) to enhance contact center agent productivity and user experience.

Applied Responsible AI principles, data governance, and strict compliance standards when processing structured and unstructured datasets for AI model training.

Streamlined release management and continuous deployment pipelines using Azure DevOps and Copado, enforcing secure coding best practices through comprehensive code reviews.

Designed complex data models, role hierarchies, sharing rules, and security architecture to ensure strict data privacy and regulatory compliance across multi-region environments

Researched emerging contact center advancements, AI capabilities, and related tooling to identify and execute innovation opportunities across internal platforms.

Orchestrated multi-project resource allocation, successfully prioritizing key milestones and delivering simple to complex deliverables on schedule.

Configured custom reports, analytical dashboards, and key metric trackers to provide executive stakeholders with actionable visibility into operational performance.

Software / Special Tools: AWS Cloud, Salesforce CRM

Additional Experience:

Capgemini & Transunion, India, Chicago CRM Architect, Webservice/AI Automation, 2019-2025 named Project Lead of the two projects: Design and development in Apex, Visualforce, Lightning Components (Aura and LWC), and other Salesforce development tools in a fast-paced Agile environment using Continuous Integration, Continuous Testing and Continuous Deployment concepts to allow for efficient delivery of CRM platform. Automated various manual business processes In Salesforce. Conducted comprehensive end-to-end testing and performance tuning for Sales & Service Cloud features, maintaining strict adherence to enterprise code quality and best practices. Engineered declarative automations using Flow Validation Rules, Process Builder, and advanced approval processes to replace legacy technical debt and streamline business logic. Applied data governance and compliance frameworks to govern how structured and unstructured CRM datasets interact with external LLMs and cloud storage endpoints.

Capgemini & Transunion, India, Chicago CRM & Cloud Evangelist, Webservice/AI Automation, 2012-2019 named Project Lead of the two projects: Design and development in Apex, Visualforce, Lightning Components (Aura and LWC), and other Salesforce development tools in a fast-paced Agile environment using Continuous Integration, Continuous Testing and Continuous Deployment concepts to allow for efficient delivery of CRM platform. Automated various manual business processes In Salesforce. In Morgan Stanley, served as the point person who is accountable for their assigned area and will capture, summarize, and escalate issues as necessary for resolution and awareness. Liaison for numerous product and functional areas within an organization. Managing and coordinating the AWS migration activities and Supported product rollouts across multiple code releases in cloud.

Capgemini, New York, Team Lead/Onsite Coordinator, Mainframe 2010-2012 named Lead of the two projects: The Individual Retirement Account system tracks the contributions & distributions of different retirements accounts. Created a new process for retirement fee revenue reconciliation, enabling product and finance with ability to provide hypothetical look regarding fee income. Oversaw the requirement capturing, Planning, Estimation and Scheduling of Implementation Tasks. Participated in and initiated group improvement activities and initiatives to improve process and product quality in pursuit of excellence.

Capgemini, India & Chicago, Team Member/Team Lead/Onsite Coordinator, Mainframe 2006-2010. Worked on project: escrow and leading tree defining business rules that assess leading tree fee so that system can accurately disclose the fee to consumers. Involved in assessment and overseed the technical delivery of projects to ensure best practices are followed. As an independent performer was involved in the analysis and the design phase of the project focused on creating high impact to the business in a very less turnaround time.

Education

Course of Study

Specialization

Name of University

Address of University

B.E

Engineering

Bharathidasan University

Mathur, Mandaiyur, Tiruchirappalli, Tamil Nadu 620024

M.Tech

Engineering

National Institute of Technology

Tanjore Main Road,National Highway 67, Tiruchirappalli, Tamil Nadu 620015, India

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