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Experienced Senior Salesforce Developer and Solution Architect with a proven record of
leading end-to-end implementations, Lightning Web Components, and DevSecOps/CI-CD practices.
At CG Infinity, I’ve driven scalable architectures, guided teams of developers, and delivered
frameworks that reduced development and deployment times.
My background spans Salesforce consulting at Accenture and Roboqube, where I built
enterprise-grade Lightning libraries, event-driven frameworks, and large-scale integrations.
Beyond Salesforce, I actively research AI and ML applications, with work on
opportunity forecasting (DeepTime meta-learning) and
AI-driven equitable access (GAEA).
I also bring academic and hands-on experience in machine learning, including prototyping LSTMs,
reinforcement learning models, and applied AI integrations. My career reflects a blend of
Salesforce expertise, AI/ML research, and technical leadership — focused on designing
solutions that connect business outcomes with cutting-edge technology.
Senior Salesforce Developer @ CG Infinity — Solution design & architecture, team leadership, DevSecOps/CI-CD, LWC & OmniStudio.
Salesforce Developer @ Roboqube — Frameworks, migrations, pub/sub systems, integrations.
Salesforce App Dev Analyst @ Accenture — LWC/Aura, Apex, APIs, community portals.
Deep Learning Research Intern @ iNeuron — CV, image processing, SVMs, lightweight models.
Data Science Intern @ The Sparks Foundation — EDA and insights.
Salesforce architecture, LWC, Apex, Integrations (REST/SOAP), DevSecOps & CI/CD, Data Visualization, classical ML & applied AI.
MS Information Technology & Management, UT Dallas — Dean’s Excellence Scholar.
B.E. Computer Science Engineering, RNS Institute of Technology.
Apex · Flows · LWC · Integrations · Security & Packaging · Solution Architecture.
Exploratory analysis · Classical ML · Deep Learning · Prompt engineering & evaluation · Viz.
Version control · CI/CD · Testing practices · Documentation & Ops for production.
Core platform admin: security, automation, data model, and user experience.
Declarative design & implementation of scalable applications.
Apex, integrations, and programmable automation patterns.
Advanced Apex, design patterns, testing and performance.
End-to-end sales design: forecasting, scoring, territory & pipeline processes.
Modern JS, testing and Lightning Web Components proficiency.
Responsible AI fundamentals and applied AI within the Salesforce ecosystem.
Einstein/Agentforce configuration for secure, useful AI assistants.
Introduces an evolutionary search framework to automatically design high-performing neural networks without manual tuning.
Scalable methods to process Bloom filters and similar probabilistic data structures efficiently in distributed environments.
Models stage-level temporal patterns with meta-learning + LSTMs to improve opportunity forecasts.
Reinforcement learning to rewire org graphs for fair access to opportunities, leads, and mentorship.