You will get AI Feature Audit with Senior Python Developer
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Project details
You will get a comprehensive AI feature audit performed by an expert Python developer with extensive experience in Django, Flask, FastAPI, APIs, PostgreSQL, Docker, CI/CD, Selenium, data scraping, and full-stack development. I specialize in reviewing Python codebases, backend systems, and data pipelines to identify performance bottlenecks, logic inconsistencies, and potential automation improvements. The audit includes detailed analysis of your AI models, system architecture, and API integrations, with clear, actionable recommendations to make your system more reliable, scalable, and production-ready. Every review is tailored to your unique setup, ensuring that your Python applications, ML pipelines, and web services are optimized for both analytics and downstream AI applications. I focus on high-quality, original work that turns complex, messy systems into clean, maintainable solutions while providing guidance that enables your team to confidently maintain and extend your AI and backend systems.
Programming Languages
HTML & CSS, JavaScript, PythonCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included $150
These options are included with the project scope.
$150
- Delivery Time 2 days
- Number of Revisions 0
- Number of Pages 1
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AR
Aimann R.
Jan 27, 2026
[FULL TIME] Full Stack Django Python Developer for Manufacturing ERP Software
CK
Charles-Edouard K.
Sep 4, 2025
Back-end Development for UNILOGIS
It was a backend mission. They provided a really great team of people. Not only developpers but some assitants and PM. So the communication was fluid.
And again, really recommend !
Thanks Dan, Alina, Denys and all the team !
And again, really recommend !
Thanks Dan, Alina, Denys and all the team !
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Jun 27, 2025
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Great work and successful completion of our project!
About Alina
Python Developer| AI Developer | RAG, AI Agent, AI ML, LLM, OpenAI
100%
Job Success
Kyiv, Ukraine - 12:30 am local time
When a project demands it, I bring in a trusted Python developer I've worked with long-term. Having a second Python developer and a second AI developer on call means you get the output of a full team without the overhead of managing one.
1. AI Systems That Go Beyond the Prototype
As an AI developer, I design and implement custom RAG (Retrieval-Augmented Generation) pipelines that ground your LLMs in proprietary data: eliminating hallucinations and making responses genuinely useful. I build autonomous AI Agent frameworks that execute multi-step workflows without human input. Whether that means PyTorch for a custom machine learning model, TensorFlow for a deployment-optimized pipeline, or combining PyTorch and TensorFlow across different stages of the same system or computer vision for document parsing and image classification — I choose the right tool, not the trendiest one.
My data scientist background means I treat model evaluation as seriously as model building. Nothing ships until the benchmarks prove it works. Every web development project I deliver goes through the same data scientist discipline: measure, validate, ship.
2. The Backend That Holds It Together
A great AI developer still needs solid engineering underneath. As a Python developer, I build the infrastructure that makes AI systems reliable at scale: FastAPI and Django REST APIs, Flask microservices for lightweight integrations, Flask-based task queues for async jobs, PostgreSQL and MySQL schemas built for real data volumes, SQL queries optimized for performance, Docker-containerized services deployed through CI/CD pipelines with Git-managed version control.
Data Scraping and web scraping are core to how I keep models current. I build Scrapy pipelines that continuously pull structured data from the web and load it into PostgreSQL or MySQL. That means your AI developer's models are always working with fresh information. I also use Scrapy for competitive research and e-commerce intelligence. Airtable provides non-technical stakeholders visibility into those Data Scraping pipelines, and Airtable webhooks trigger FastAPI or Django endpoints when records change.
3. Full Stack, Front to Back
I'm a full stack developer and web developer, which means I own the entire delivery. React dashboards, Node.js middleware, JavaScript-heavy interfaces. I build the frontend that makes AI outputs accessible to real users. As a software engineer with web development experience across the full stack, I keep React components, Node.js services, and JavaScript logic clean and maintainable alongside the Python backend.
I also have PHP developer experience. Many clients have existing PHP developer codebases, legacy CMS platforms, older systems that need to connect to modern Python APIs rather than be replaced. I know how to work with what's already there.
4. What Working With Me Looks Like
You get a Python developer and AI developer in one person, backed by a trusted Python developer when the scope demands it. You get production-ready code - documented, tested, Git-managed, containerized with Docker, deployed through CI/CD. You get a data scientist mindset applied to every decision, a software engineer's standards applied to every line, a full stack developer's awareness of the full delivery chain, and a web developer's understanding that the end user is always the point.
If you need an AI developer and Python developer who can take a project from first conversation to live deployment, I'd like to hear about it.
Steps for completing your project
After purchasing the project, send requirements so Alina can start the project.
Delivery time starts when Alina receives requirements from you.
Alina works on your project following the steps below.
Revisions may occur after the delivery date.
Python Developer Code & System Audit
Review Python, Django, Flask, FastAPI, APIs, PostgreSQL, Docker, CI/CD.