Production-grade AI systems that deliver real business value
Voice-activated scheduling system automating healthcare calls with advanced GenAI and agentic flows.
Reduced call-handling cost from ~$15 to <$0.01 per call; major ROI and simplified architecture.
Designed and delivered voice automation for surgical scheduling; led assessments, compliance, and implementation.
GenAI-powered automation of real estate sales lifecycle with multi-modal agents and CRM integration.
Automated sales flows and data processing, accelerating transactions and reducing manual effort.
Led solutioning, accelerator delivery, and CRM-enabled GenAI agent orchestration post-assessment.
Real-time credit risk and fraud detection using serverless GenAI workflows.
Instant credit risk assessment and action, reducing manual reviews and cost.
Architected and deployed bedrock-based risk analysis and automated fraud routing.
Bilingual caregiver scheduling via voice/text-driven GenAI agents, designed for scalability and compliance.
Automates nurse scheduling in multiple languages, streamlining care coordination.
Delivered advanced agentic models for bilingual scheduling, rolled out across several product versions.
Real-time sentiment and event detection from high-volume social feeds for disaster response.
Accelerates disaster detection; streamlines multi-language incident alerts and analysis.
Built real-time event/sentiment pipeline, providing ongoing demos and architecture tuning.
Cloud-native GenAI agent platform for customer support, featuring cost and compliance optimization.
Production-grade migration roadmap, reducing cost and increasing support automation.
Assessed, reviewed, and optimized contact center architecture for cloud-native GenAI migration.
Natural language business KPI reporting and analysis with MCP/Bedrock agent system.
Enables conversational BI, streamlining access to reporting and insights.
Delivered GenAI-driven KPI insights via agent workflows in AWS program.
Distributed LLM training and enterprise onboarding with AWS Trainium and Inferentia.
Accelerated enterprise model training, code walkthroughs, and cost optimization.
Led adaptation and fine-tuning of Llama3/LLMs for efficiency and scalability.
GenAI-powered agent support chatbot for product recommendations.
Automated customer service, improved recommendation accuracy.
Delivered and supported chat-driven automation for product support teams.
AI analytics platform for analyzing sales call transcripts with Graph DB and RAG pipeline.
Automated actionable insights for sales interactions; enabled production-scale analytics.
Built NL analytics for call transcripts, providing end-to-end accelerator.
Cloud-hosted AI system for campaign analysis and marketing optimization.
Optimization of marketing campaigns; prompt/blueprint engineering and feedback cycles.
Created and refined AI-driven campaign analysis workflows, deployed for client use.
Text-to-SQL GenAI accelerator and compliance workshop, exposing API endpoints for LLM queries.
Automated LLM compliance requests; prioritized roadmap and rapid prototyping.
Facilitated roadmap and readiness workshops; deployed GenAI SQL accelerator.
Scalable GenAI agent solution for retail campaign analysis and optimization.
Optimized retail marketing analytics, improved campaign performance.
Contributed technical review and support to scalable GenAI retail analysis accelerator.
Natural language interface for healthcare appointment scheduling and support automation.
Automates appointment handling including coverage eligibility; simplifies workflow orchestration.
Implemented agent-led support platform integrating insurance logic for healthcare workflows.
Skill-share sessions, workshops, and technical enablement for GenAI/agentic systems company-wide.
Led training and hands-on education for engineering teams; advanced internal GenAI expertise.
Organized and led enablement, training, documentation, and internal labs for agentic AI systems.
Multi-tenant RAG, call-centric systems, chatbot/IVR automation, document chat, and solution architecture for SaaS and enterprise platforms.
Improved document retrieval, conversational AI, and multi-platform enablement.
Supported design, architecture, accelerator delivery, and review for client/platform pilots.