You will get a 60-min AI on AWS architecture strategy call & action plan
Project details
You will get a 60-minute working call with a senior AI architect and a written action plan you can hand to your team the next day.
This is for founders, CTOs, and product leads who want to move forward on AI but need a clear technical opinion before spending real money. We will look at your goals, your current AWS footprint, and the LLM or generative AI piece you are trying to build, and you will walk away with a concrete recommendation, not a sales pitch.
On the call we will cover the right model and pattern for your use case (RAG, fine-tuning, agentic, multimodal), the AWS services that fit (Bedrock, SageMaker, ECS, OpenSearch, Lambda, and what to avoid), a realistic cost and latency picture, and the first two or three things to build.
After the call you get a written action plan with the recommended architecture, a short build plan, and the open questions worth answering before you commit budget.
This is for founders, CTOs, and product leads who want to move forward on AI but need a clear technical opinion before spending real money. We will look at your goals, your current AWS footprint, and the LLM or generative AI piece you are trying to build, and you will walk away with a concrete recommendation, not a sales pitch.
On the call we will cover the right model and pattern for your use case (RAG, fine-tuning, agentic, multimodal), the AWS services that fit (Bedrock, SageMaker, ECS, OpenSearch, Lambda, and what to avoid), a realistic cost and latency picture, and the first two or three things to build.
After the call you get a written action plan with the recommended architecture, a short build plan, and the open questions worth answering before you commit budget.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AIOps, Conversational AIAI Development Language
PythonAI Tools
Hugging FaceAI Models
ChatGPT, GPT-4, LLaMAWhat's included $250
These options are included with the project scope.
$250
- Delivery Time 2 days
- Number of Revisions 1
- Model Documentation
- Natural Language Processing
- Prompt Engineering
Optional add-ons
You can add these on the next page.
Fast 1 Day Delivery
+$100
Additional Revision
+$50Frequently asked questions
About Aamir
Sr. AI/ML Architect | LLM, RAG & Agents | Ex-ExxonMobil/Chevron
Houston, United States - 2:04 am local time
I'm an AWS Advanced Tier Partner and an OpenAI SMB Partner. I design and ship production-grade AI, cloud, and data systems — not prototypes, not demos. Engagements range from 10-hour audits to 6-month builds. I right-size to fit.
WHY CLIENTS HIRE ME
• AWS Advanced Tier Partner + OpenAI SMB Partner — certified at the highest tiers
• 15 years inside oil & gas, energy, and enterprise environments
• I've shipped AI, cloud, and software at scale — not just consulted on it
• US-based (Houston, TX), fluent in enterprise procurement and compliance
TECHNICAL STACK
Generative AI & LLMs
• Models: GPT-5, GPT-4o, Claude Opus 4, Claude Sonnet, Llama 3.1, Mistral, Whisper
• Frameworks: LangChain, LlamaIndex, Haystack, Semantic Kernel
• Patterns: RAG, agentic workflows, function calling, multi-agent orchestration
• Fine-tuning: LoRA, QLoRA, instruction tuning, LLM-judge evaluation
AWS Cloud (Advanced Tier Partner)
• Compute: EC2, Lambda, Fargate, ECS, EKS, SageMaker, Bedrock
• Data: S3, Redshift, Glue, Athena, Kinesis, MSK, DMS, Aurora
• Security & Governance: IAM, KMS, Organizations, SCPs, GuardDuty, Security Hub
• FinOps: Cost Explorer, CUR + Athena, Compute Optimizer, Savings Plans
Data & Vector Stores
• Vector DBs: pgvector, Pinecone, Weaviate, OpenSearch, Aurora pgvector
• Embeddings: OpenAI text-embedding-3, Cohere, Bedrock Titan
• Databases: PostgreSQL, SQL Server, DynamoDB, Snowflake, Redshift
Orchestration & DevOps
• IaC: Terraform, AWS CDK, CloudFormation
• CI/CD: GitHub Actions, CodePipeline, Azure DevOps
• Observability: CloudWatch, X-Ray, LangSmith, Datadog
Application Layer
• Python (FastAPI, Pydantic, LangChain), TypeScript / Node.js, C# / .NET, SQL
• Frontend: React, Next.js
• APIs: REST, GraphQL, gRPC, event-driven architectures
KEY PROJECT: AWS COST AUDIT — $966K ANNUAL SAVINGS (92%)
A mid-market enterprise had runaway AWS spend across 14 accounts. I led a two-week audit and 60-day remediation that cut their bill by 92% — $966K annualized — with zero downtime.
Scope
• 14 AWS accounts, ~1,200 EC2, 600+ RDS/Aurora, 400 TB S3, 80 TB Redshift
• Active production workloads, no maintenance windows
Diagnosis
• CUR ingested into Athena for line-item analysis
• Compute Optimizer + Trusted Advisor for right-sizing
• VPC Flow Logs analyzed for NAT Gateway and cross-AZ egress waste
• RI / Savings Plan coverage modeled against 12-month usage
Remediation
• Right-sizing, idle decommissioning, gp2→gp3, S3 Intelligent-Tiering
• NAT consolidation, VPC endpoints, Aurora Serverless v2 for variable workloads
• SCPs, budget alerts, FinOps tagging, CI/CD guardrails to prevent regression
Results
• $966K annualized savings (92% reduction)
• 100% production uptime through every change
• Tag coverage 34% → 100%
• FinOps governance handed off — no consultant lock-in
OTHER ENTERPRISE WORK
• ExxonMobil: 47 legacy refinery systems unified into a real-time downstream data lake
• Chevron: led Agile Release Train across 11 product lines, $500M+ asset portfolio (Permian Basin), coordinating Accenture and TCS
• Halliburton: built global engineering workflow platforms unifying real-time field operations
WHO I WORK WITH
Startups, mid-size companies, and enterprises. Energy, industrial, SaaS, and beyond. Whether it's a focused 10-hour audit or a 6-month build, I bring engineering rigor and enterprise discipline to every engagement.
Based in Houston, TX. Let's talk about what you're building.
KEYWORDS: AI Architect | Generative AI | LLM | RAG | OpenAI | Claude | AWS | Bedrock | SageMaker | AI Agent Development | LangChain | LlamaIndex | Vector Database | pgvector | Pinecone | Python | Terraform | FinOps | Cost Optimization | Data Engineering | Enterprise AI | Oil & Gas
Steps for completing your project
After purchasing the project, send requirements so Aamir can start the project.
Delivery time starts when Aamir receives requirements from you.
Aamir works on your project following the steps below.
Revisions may occur after the delivery date.
Review your intake and confirm call time
I read your answers, check your AWS context, and confirm a call time within 1 business day.
Run the 60-minute working call
We meet on Zoom or Google Meet. I share my screen, sketch the architecture live, and answer your questions.