Abdulwahid isn't taking new orders for this project right now. Here are some similar projects to explore.
You will get AI prototype production-ready in the cloud
Project details
I help productionize Python AI prototypes that work as demos but are not ready for real users.
If your AI app is stuck at the local/demo stage, I can help with Python/FastAPI backend cleanup, Docker, Supabase/Postgres, OpenAI or Claude integration, RAG pipelines, agent workflows, logging, evals, deployment preparation, and handoff documentation.
This project is best for founders, AI startups, agencies, and SaaS teams that already have a repo, demo, codebase, or partially working AI prototype. I will first identify the main production blocker, then focus on the highest-leverage improvement based on your selected package.
The goal is not just to add more AI features. The goal is to make your AI app more deployable, maintainable, testable, and ready for real users.
If your AI app is stuck at the local/demo stage, I can help with Python/FastAPI backend cleanup, Docker, Supabase/Postgres, OpenAI or Claude integration, RAG pipelines, agent workflows, logging, evals, deployment preparation, and handoff documentation.
This project is best for founders, AI startups, agencies, and SaaS teams that already have a repo, demo, codebase, or partially working AI prototype. I will first identify the main production blocker, then focus on the highest-leverage improvement based on your selected package.
The goal is not just to add more AI features. The goal is to make your AI app more deployable, maintainable, testable, and ready for real users.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, AI Text-to-Speech, AI-Enhanced Classification, AI-Generated Art, AI-Generated Code, AI-Generated Video, AIOps, Natural Language Generation, Natural Language Understanding, Sentiment AnalysisAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Gradio, Hugging Face, Replit, StreamlitAI Models
ChatGPT, GPT-3, GPT-4, LLaMA, Midjourney AI, WhisperWhat's included
| Service Tiers |
Starter
$149
|
Standard
$699
|
Advanced
$1,499
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 1 | 2 |
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 |
Optional add-ons
You can add these on the next page.
Extra production audit
(+ 2 Days)
+$100
Deployment walkthrough call
(+ 1 Day)
+$150
Extra implementation day
(+ 1 Day)
+$250Frequently asked questions
9 reviews
(8)
(1)
(0)
(0)
(0)
This project doesn't have any reviews.
MJ
Mitch J.
Apr 12, 2026
Claude Subscription
HB
Hooman B.
Jun 11, 2025
Close AWS
HB
Hooman B.
Mar 30, 2025
WDT V2.4 update
AS
Arsenii S.
Nov 1, 2023
Backend Developer (Firebase, Node.js, Typescript)
AG
Anthony G.
Jul 5, 2023
Looking for AI dev Consultation for Music production product
Abdul was very helpful and helped answer all the questions we had. I highly recommend him!
About Abdulwahid
AWS Cloud Engineer | Cost Optimization, Docker & Cloud Migration
100%
Job Success
Karachi, Pakistan - 3:16 pm local time
I help software companies reduce cloud waste, improve reliability, and clean up AWS infrastructure without hiring a full-time cloud engineer.
My main offer is a Cloud Cost & Risk Audit. I review your cloud setup, billing, deployment process, backups, monitoring, alerts, security hygiene, and infrastructure structure. You receive a practical report with prioritized recommendations and a 30-day action plan.
Best fit:
- SaaS founders
- CTOs and technical founders
- Software agencies
- E-commerce companies
- Startups using AWS or planning to move to AWS
- Teams spending roughly $1,000–$30,000/month on cloud
- Companies that need senior cloud guidance but are not ready to hire a full-time cloud engineer
I can help with:
- Cloud Cost & Risk Audit
- AWS cost optimization
- AWS billing review and waste reduction
- Cloud migration support
- VPS/on-premise to AWS migration planning
- Docker-based deployment support
- Cloud architecture review
- Monitoring, backup, and alert setup
- Infrastructure cleanup and documentation
- CloudOps / DevOps support
- AI infrastructure readiness review
Common issues I look for:
- Unused or oversized servers
- Unclear AWS billing drivers
- Missing backups or weak recovery planning
- Poor monitoring and alerting
- Untagged or undocumented resources
- Risky manual deployment processes
- Messy Docker or server setup
- Weak separation between staging and production
- Storage, database, compute, and networking inefficiencies
- Reliability gaps before scaling or adding AI workloads
My primary focus is AWS, Docker, Linux servers, cloud billing dashboards, monitoring, backups, basic CI/CD, and practical infrastructure cleanup. I can also review Azure or Google Cloud environments at a high level for cost, reliability, and operational hygiene, but my core hands-on focus is AWS-first cloud support.
I bring software development experience, not just cloud theory. I understand application architecture, deployments, databases, client delivery, technical debt, and the business constraints that software teams face.
I run Nameod Cloud, a focused cloud consulting practice for software businesses that need practical cloud cost control, migration, and operations support.
Typical first milestone:
1. Review your cloud account, billing, deployment setup, and infrastructure
2. Identify wasted spend, reliability risks, and operational gaps
3. Prioritize fixes by business impact and effort
4. Deliver a clear audit report and 30-day action plan
5. If needed, help implement the highest-impact fixes first
If your AWS setup has become expensive, unclear, fragile, or hard to manage, send me a short description of your current setup. I’ll tell you what I would review first.
Steps for completing your project
After purchasing the project, send requirements so Abdulwahid can start the project.
Delivery time starts when Abdulwahid receives requirements from you.
Abdulwahid works on your project following the steps below.
Revisions may occur after the delivery date.
Review requirements, repo, demo, or codebase
I review the current prototype, setup instructions, stack, and the main production blocker you want fixed first.
Audit production risks and blockers
I identify issues around deployment, Docker, backend structure, database, AI workflow, logging, evals, and documentation.