You will get an AI workflow automation system with LangGraph agents and control panel
Project details
I’ll build AutoFlow, a multi‑agent AI workflow that ingests customer inquiries from your existing channels, classifies intent, and routes each case to specialized agents for FAQs, lead qualification, support, or human escalation—reducing manual handling time and keeping a full audit trail.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AIOps, Anomaly Detection, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, Hugging FaceAI Models
ChatGPT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$1,495
|
Standard
$2,495
|
Advanced
$3,995
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 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 Drake
Senior AI Engineer & Architect | Enterprise LLM Agents | GCP Vertex AI
Acworth, United States - 2:13 pm local time
I specialize in LangChain, LangGraph, multi-agent orchestrations, RAG pipelines, and robust FastAPI backends that translate complex AI into measurable business impact.
🤖 Agentic AI & LLM Engineering
Autonomous Workflows: Design and deploy multi-agent systems using LangChain and LangGraph for high-stakes enterprise use cases (underwriting, fraud detection, document intelligence).
Production RAG: Build advanced Retrieval-Augmented Generation systems scaling across millions of documents.
Integrations: Connect agentic workflows seamlessly into core communication stacks, including Slack, Telegram, and enterprise email environments.
☁️ End-to-End ML & MLOps on GCP
Vertex AI Mastery: Build complete enterprise pipelines—from data preparation and training to evaluation, deployment, and continuous monitoring.
Proven ROI: Led predictive modeling for fraud detection (30% accuracy improvement), student retention, and predictive maintenance (80% reduction in operational events) across 20TB+ datasets.
Cost Optimization: Architected cloud infrastructure refinements that cut client cloud spend by 50%.
⚡ FastAPI & Production API Development
Backend Architecture: Build high-performance, asynchronous RESTful APIs utilizing Pydantic validation, async job processing, and Docker containerization.
System Integration: Deliver clean API layers engineered to power real-time dashboards, integrate with legacy CRMs, and serve production ML models at scale.
📊 Data Science & Technical Stack
Core Competencies: Python, SQL, BigQuery, XGBoost, LightGBM, SHAP/LIME explainability, and advanced feature engineering.
Enterprise Delivery: Trusted to deliver mission-critical solutions for Fortune 500 clients, including Morgan Stanley, Wells Fargo, US Bank, and Verizon.
I bridge the gap between deep technical execution and executive-level strategy. I work at $80/hr and bring principal-level execution to every engagement.
Let's hop on a call and talk about what you need built.
Drake Talley
Principal AI Engineer | PrismBase.ai
Steps for completing your project
After purchasing the project, send requirements so Drake can start the project.
Delivery time starts when Drake receives requirements from you.
Drake works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & requirements
I’ll review your business, channels (email, forms, chat), and goals. We’ll choose the first workflow to automate (support triage or lead qualification) and define clear success metrics so we know what “done” looks like.
Workflow & agent design
I’ll map your current process into an AI workflow: how inquiries enter, how intent is classified, and which agent (FAQ, lead, support, escalation) handles each case. You’ll review and approve the flow before I start building.