Production AI Systems

Enterprise GenAI Solutions

Translating AI research into production value at scale.

Overview

As GenAI Subject Matter Expert at DoIT International, I lead customer engagements developing agentic systems for enterprise and startup customers, translating business requirements into AI solutions deployed on GCP and AWS.

Delivered Systems

Customer Churn Prediction
Machine learning system that reduced customer attrition by 23% for B2B SaaS company through predictive analytics and automated intervention workflows.

Business Intelligence MCP Servers
Processing 500K+ daily queries, providing executives with real-time insights into business metrics and KPIs across multiple data sources.

Customer Success Co-pilot Agents
AI assistants that handle routine customer success tasks, allowing teams to focus on high-value interactions. Deployed across multiple enterprise accounts.

Medical Voice Agents
HIPAA-compliant conversational AI handling 1,000+ patient interactions weekly with 94% accuracy rate, reducing administrative burden on medical staff.

Technical Approach

Architecture Focus:

• RAG (Retrieval-Augmented Generation) systems with custom evaluation frameworks
• Agentic orchestration using LangGraph and Bedrock
• Production-grade safety guardrails and content filtering
• Multi-modal processing (text, voice, structured data)

Security & Compliance:

• HIPAA compliance for healthcare applications
• SOC2 compliance for financial services
• FedRAMP considerations for government contractors
• Privacy-preserving architectures for sensitive data

Business Impact

• 12+ production deployments across healthcare, SaaS, and financial services
• $4.5M in expansion revenue through technical pre-sales and solution design
• 97% CSAT score across 500+ customer interactions
• 35% cost reduction ($850K annual savings) through cloud optimization

Community Leadership

Founded and lead GenAI Community of Practice at DoIT (40+ members):

• Weekly technical workshops on AI security, threat modeling, prompt injection defense
• Mentorship program that upskilled 15 colleagues in AI engineering
• Internal training materials now used company-wide

Tech Stack

LangGraph	Bedrock	Claude	Vertex AI	GCP	AWS
Python	FastAPI	Kubernetes	Terraform	Vector Databases

---

Note: Specific client details are confidential. Case studies available upon request with appropriate NDAs.