Salesforce Developer at Accenture, currently pivoting toward Forward Deployed Engineering, Agentforce Development, and AI/ML Engineering roles. Over two years at Accenture, I've worked extensively with Communications and Media Cloud and Industry CPQ on a communications-industry client project, which gave me a deep understanding of the telecom/media domain alongside the platform itself. I've also customized Enterprise Sales Management (ESM), sharpening my grasp of B2B Salesforce features and pushing me to think creatively about configuration trade-offs. Alongside feature work, I've contributed to platform hardening efforts — refactoring legacy code for better performance and a faster, more maintainable platform.
Before moving into Salesforce development, I built a strong foundation in UI/UX and graphic design, working with tools like Figma, Adobe Illustrator, and Photoshop. That background now shapes how I approach Salesforce customization — I think about interface and experience quality, not just functionality.
- Building out a themed portfolio of projects that bridge Salesforce engineering and AI/ML
- Deepening data science / ML fundamentals through self study
Salesforce
AI / ML & Data
Design
Other
- Salesforce Platform Developer I (PD1)
- Salesforce AI Associate
- Salesforce AI Specialist / Agentforce Specialist
- Copado
| Project | What it is |
|---|---|
| HealthGuard AI | Health Cloud AI Copilot + Patient No-Show ML Pipeline — FastAPI backend, XGBoost model (ROC-AUC ≥ 0.78 target), SHAP explainability, and a 4-topic Agentforce agent |
| Apex Lead Scoring Engine | Native logistic regression scoring for Leads, hand-implemented in Apex (weighted sum → sigmoid), configurable via Custom Metadata, with a per-feature explainability breakdown |
| Salesforce Object EDA Engine | Exploratory data analysis engine for Salesforce objects, built with Streamlit and FastAPI |
