You will get Enterprise AI Readiness & MVP Opportunity Assessment - Use Cases & Roadmap
Project details
Most AI assessments produce generic recommendations that ignore your actual architecture. This engagement is different. I bring 15+ years of Fortune 100 delivery across financial services, life sciences, and entertainment with production AI systems. I do not recommend what sounds good. I recommend what your current stack can actually support, what delivers ROI fastest, and what to avoid entirely. Every use case is evaluated against your real data readiness, integration complexity, and compliance requirements — not a template. You receive a board-ready deliverable with architecture diagrams, a prioritized MVP roadmap, build vs buy analysis, and effort estimates your team can execute immediately. I hold a PhD in Health Sciences, an MS in Systems Engineering from the University of Pennsylvania, and have maintained a 95%+ project success rate across 100+ enterprise AI deployments. Most consultants advise from theory. I advise from production systems I personally architected, implemented, and governed. The difference shows in the deliverable — and in what happens after it.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation SystemAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$1,500
|
Standard
$3,000
|
Advanced
$4,500
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | ||
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | |
Model Documentation | |||
Ontology | - | - | |
Source Code | - | - | - |
Taxonomy |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$500 - $1,000About Temeko
Enterprise AI Architect | AgentForce & Data Cloud
New York, United States - 4:01 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.
Discoery Call
Identify high level requirements for better project results