You will get AI & AWS Strategy Consultation | Design Your Intelligent Agent Roadmap
Rising Talent
Rising Talent
Project details
Are you planning to integrate AI into your product but don’t know where to start? This consultation is designed to give you a clear, actionable roadmap for building intelligent, scalable, and cost-efficient AI solutions on AWS.
In a 1-on-1 strategy session, we’ll review your project goals, business needs, and existing systems to design the right architecture for your use case whether it’s an LLM-powered chatbot, resume-matching engine, automation workflow, or agent-based platform.
You’ll receive expert guidance on selecting the right AWS services (such as Bedrock, Lambda, DynamoDB, API Gateway), choosing the best LLMs and frameworks (LangChain, vector databases, embedding strategies), and structuring your data pipelines. By the end of the session, you’ll have a tailored technical blueprint and a step-by-step plan to move forward confidently with development.
This consultation is ideal for startups, founders, product teams, and organizations seeking clarity before investing in full AI development.
In a 1-on-1 strategy session, we’ll review your project goals, business needs, and existing systems to design the right architecture for your use case whether it’s an LLM-powered chatbot, resume-matching engine, automation workflow, or agent-based platform.
You’ll receive expert guidance on selecting the right AWS services (such as Bedrock, Lambda, DynamoDB, API Gateway), choosing the best LLMs and frameworks (LangChain, vector databases, embedding strategies), and structuring your data pipelines. By the end of the session, you’ll have a tailored technical blueprint and a step-by-step plan to move forward confidently with development.
This consultation is ideal for startups, founders, product teams, and organizations seeking clarity before investing in full AI development.
AI Algorithms
Gated Recurrent Unit, Generative Adversarial Network, Large Language Model, Multimodal Large Language Model, Regression Analysis, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Speech, AI-Enhanced Classification, AI-Enhanced Medical Imaging, AI-Generated Code, AIOps, Automatic Speech Recognition, Conversational AIAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Hugging Face, PyTorch, TensorFlowAI Models
ChatGPT, GPT-4, LLaMA, WhisperWhat's included
| Service Tiers |
Starter
$75
|
Standard
$150
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 4 days |
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 Rehan
AI & Cloud Solutions Architect | Generative AI & Automation Expert
Lahore, Pakistan - 9:35 pm local time
I build agentic AI, RAG pipelines, and AWS serverless systems that cut manual work 30–70% and deliver real ROI. 5+ years delivering chat/voice agents, fraud engines, and audio intelligence for startups & enterprises (US/EU/MENA).
I’m an AI Engineer & Cloud Solutions Architect (5+ yrs) who ships agentic AI, RAG with LangChain (Bedrock/OpenAI), and AWS serverless (Lambda, API Gateway, DynamoDB, FastAPI) that create measurable ROI.
Proven wins:
* Fraud Detection AI (recall 2%→69% using XGBoost+Isolation Forest)
* Real-time Audio Intelligence (Transcribe+GPT for emotion/adherence KPIs)
* Production Chat/Voice Assistants integrated with Salesforce/Twilio/Zapier
* BI dashboards with QuickSight.
Hire me for:
AI automation, LLM/RAG systems, API/CRM integrations, data pipelines, cost-optimized cloud architecture.
Keywords: Agentic AI, Generative AI, LangChain, AWS Bedrock, OpenAI, Python, Serverless, CI/CD, REST/GraphQL, QuickSight.
Steps for completing your project
After purchasing the project, send requirements so Rehan can start the project.
Delivery time starts when Rehan receives requirements from you.
Rehan works on your project following the steps below.
Revisions may occur after the delivery date.
Share Your Vision
Provide a brief overview of your project, goals, and current setup so I can review your needs and prepare a tailored consultation session.
Strategy Consultation Call
We’ll discuss your project in depth, explore use cases, and design the ideal AI architecture, AWS stack, and agent workflow for your solution.