You will get GenAI Accuracy & Governance
Project details
Most enterprise GenAI deployments have the same three problems: outputs are inconsistent, prompts were written without a governance standard, and nobody has defined what accurate enough actually means for the business. This engagement fixes all three — and proves it with documented benchmarks.
I am an Enterprise AI Architect with a PhD, 15+ years of Fortune 100 delivery, and hands-on experience building and governing production GenAI systems for Fortune 100 clients across financial services, life sciences, healthcare, and entertainment.
I diagnose inconsistency at the source — prompt design, model configuration, RAG retrieval quality, context window management, or output parsing logic, and resolve based on your real use cases.
This is not a report-only engagement. I implement improvements — not just recommend them.
You also receive a reusable prompt library, governance SOPs, and a responsible AI framework your team can maintain independently — with no vendor lock-in and no junior delegation.
When your generative AI outputs need to be reliable, compliant, and defensible, this is the engagement that makes that happen.
I am an Enterprise AI Architect with a PhD, 15+ years of Fortune 100 delivery, and hands-on experience building and governing production GenAI systems for Fortune 100 clients across financial services, life sciences, healthcare, and entertainment.
I diagnose inconsistency at the source — prompt design, model configuration, RAG retrieval quality, context window management, or output parsing logic, and resolve based on your real use cases.
This is not a report-only engagement. I implement improvements — not just recommend them.
You also receive a reusable prompt library, governance SOPs, and a responsible AI framework your team can maintain independently — with no vendor lock-in and no junior delegation.
When your generative AI outputs need to be reliable, compliant, and defensible, this is the engagement that makes that happen.
AI Algorithms
Large Language ModelAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Speech, AI-Generated Music, AIOps, Conversational AI, Sentiment AnalysisAI Development Language
PythonAI Tools
Azure OpenAI, Microsoft 365 Copilot, PyTorch, TensorFlowAI Models
ChatGPT, GPT-4, LaMDA, LLaMAWhat's included
| Service Tiers |
Starter
$2,500
|
Standard
$4,000
|
Advanced
$5,500
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | - | |
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | |
Model Documentation | - | - | |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | |
Model Tuning | - | ||
Natural Language Processing | - | ||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | ||
Setup File | - | - | - |
Source Code | - | - |
About Temeko
Enterprise AI Architect | AgentForce & Data Cloud
New York, United States - 12:35 pm local time
Enterprise AI Architect. PhD. 15+ years. Fortune 100/500 delivery across financial services, life sciences, sports, and entertainment. I architect the right AI systems for production-grade, compliant platforms deployed at scale.
Key outcomes:
— Migrated 14M customers across 14 systems in U.S. bank merger
— Cut pharma case escalations 52% via GenAI automation
— Increased banking transactions 47% through AI workflow design
— Deployed 750-seat GxP, HIPAA-compliant pharmaceutical AI platform
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WHAT I DELIVER
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✦ AGENTIC AI & GENERATIVE AI
End-to-end RAG pipelines, multi-LLM orchestration, and autonomous agentic workflows using LangChain, LlamaIndex, Kore.ai, and Salesforce AgentForce. Compliant chatbots grounded in regulatory data.
✦ SALESFORCE AGENTFORCE & DATA CLOUD
15+ implementations across Sales, Service, Health, FSC, Marketing, CPQ, and Data Cloud. AgentForce architecture from agent design through data grounding, governance, and production deployment. Migrated 1,500-rep pharma call center to GenAI Life Sciences Cloud processing 26 automated workflows. Built 750-seat Veeva solution with Agentic AI for adverse event reporting and patient affordability workflows.
✦ DATA ARCHITECTURE & GOVERNANCE
Snowflake, Databricks, Redshift, and Data Lake design. ETL/ELT pipelines, data modeling, and identity resolution. AI governance for HIPAA, PII, and GxP compliance across 100+ deployments. Predictive modeling with Hadoop, Spark, and Teradata for conversion, campaign, and market trend analysis.
✦ AI STRATEGY & EXECUTIVE ADVISORY
C-suite AI roadmap development, BPM design using Lucidchart and MIRO, and pre-sales solution architecture. 40+ direct reports managed. 95%+ project success rate. P&L ownership across multi-year enterprise programs.
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TECHNICAL STACK
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AI/ML: LangChain · LlamaIndex · Kore.ai · TensorFlow · Kubeflow · MLflow · Azure ML
Salesforce: AgentForce · Data Cloud · Health · FSC · Marketing · CPQ · Field Service
Cloud: AWS · Azure · GCP · Snowflake · Databricks · Redshift
Integration: MuleSoft · Informatica · Boomi · Kafka · IBM DataStage
Dev: Python · R · Java · C++ · React · Spring Boot
Analytics: Tableau · Power BI · Cognos · Domo
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EDUCATION
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PhD — Health Sciences · Liberty University
MS — Systems Engineering · University of Pennsylvania
BS — Mathematics & Computer Science · Temple University
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I take a limited number of engagements to ensure every client gets senior-level attention. If you have an AI architecture problem, an AgentForce initiative that needs to move from whiteboard to production, or a regulated-industry platform decision that needs to be right the first time — message me.
I respond within 24 hours. I start fast. I deliver.
Steps for completing your project
After purchasing the project, send requirements so Temeko can start the project.
Delivery time starts when Temeko receives requirements from you.
Temeko works on your project following the steps below.
Revisions may occur after the delivery date.
60 Minute Intake Meeting