You will get Django Application using LLM, ChatGPT, NLP, Openai, AWS, Machine learning

4.8

Let a pro handle the details

Buy Machine Learning services from Akinyiga, priced and ready to go.
4.8

Let a pro handle the details

Buy Machine Learning services from Akinyiga, priced and ready to go.

Project details

Expertise and Experience:
With a proven track record in API integration, Django development, and cloud deployment, our team brings a wealth of knowledge and hands-on experience to every project. Our deep understanding of advanced AI technologies and cloud infrastructures ensures that we deliver cutting-edge solutions tailored to your needs.

Quality and Reliability:
We prioritize quality in every aspect of our work, ensuring that our solutions are robust, scalable, and secure. Our dedicated team is committed to delivering high-quality work within the agreed timeframe

Choose us for a partnership that combines technical excellence, personalized service

Python |TensorFlow | Transformers | NLTK | Scikit-Learn | Django | Natural Language Processing | Google Bert | Machine Learning | Neural Network | Deep Learning | Artificial Intelligence | LLM Prompt Engineering | Data Science | Predictive Model | Machine Learning Model | Data Analysis | ChatGPT API Integration | Rag's LLM | Computer Vision | OpenCV | Face Detection | AI Development | GPT-4 API | API | API Integration | Amazon Web Services | Conversational AI | Generative AI Prompt Engineeringlessabout the product details
Machine Learning Tools
Amazon SageMaker, Azure Machine Learning, BERT, Deeplearning4j, GPT-3, KNIME, Kubeflow, MLflow, NLTK, NumPy, Open Neural Network Exchange, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, Scrapy, TensorFlow, Tesseract OCR, TextBlob, Vertex AI, Word2vec, XGBoost
What's included
Service Tiers Starter
$500
Standard
$1,500
Advanced
$2,000
Delivery Time 5 days 11 days 18 days
Number of Revisions
122
Number of Model Variations
111
Number of Scenarios
111
Number of Graphs/Charts
111
Model Validation/Testing
Model Documentation
Data Source Connectivity
Source Code
Optional add-ons You can add these on the next page.
Fast Delivery
+$100 - $300
Additional Revision
+$20
4.8
15 reviews
87% Complete
13% Complete
1% Complete
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OO

Oluwaseun O.
4.00
Feb 12, 2026
Data Engineering Consultation

ES

Erik S.
5.00
Jan 30, 2025
Python AI Developer with LLM / RAG Expertise Great developer, will work again with him!

JR

Jacob R.
5.00
Jul 16, 2024
Development of a scalable AI-Driven Chatbot Using TensorFlow

FM

Frederick M.
4.70
May 13, 2024
AI prompt optimization

AA

Abdullah A.
5.00
Apr 30, 2024
BigML for sales analysis He demonstrated exceptional professionalism, attention to detail, and timely communication throughout the entire process.

His expertise and dedication were evident in the high-quality deliverables he provided. He was receptive to feedback and made necessary adjustments promptly.

I highly recommend him to anyone seeking reliable and skilled freelance services. I look forward to collaborating with him again in the future.

Thank you,
Akinyiga O.Status: Offline

About Akinyiga

Akinyiga O.Status: Offline
Senior Data Engineer | AI/ML Engineer | Azure, Databricks, Devops
100% Job Success
4.8  (15 reviews)
Ilisan I, Nigeria - 6:26 am local time
If you’re looking for a Senior Data Engineer who can also build real AI/ML systems, not just prototypes you’re in the right place

My name is Akin, I help businesses transform raw data into actionable insights and AI-powered solutions. With solid expertise in building end-to-end data pipelines, developing scalable ML models, and optimizing data architecture, I deliver clean, reliable, and production-ready data systems that drive performance and growth.

What I offer:

✅ Advanced Data Engineering & ETL/ELT

Design and build robust data pipelines, data lakes/warehouses, ingestion frameworks, and transformation layers (batch & streaming). I ensure clean, reliable, and scalable data ecosystems that support analytics, ML, and AI workloads.

🤖 Machine Learning, AI & LLM Solutions

From traditional ML models (classification, forecasting, clustering) to modern LLM-based automation, I help businesses unlock intelligent capabilities.

Build and fine-tune LLM applications

Develop RAG pipelines for enterprise search, document understanding, and knowledge automation

Deploy AI/ML solutions into production using strong engineering practices

🧠 RAG & Generative AI Expertise

I architect production-grade RAG systems that combine LLMs with vector databases, embeddings, and retrieval logic optimized for accuracy, latency, and maintainability.

📊 Data Analytics & BI Reporting

End-to-end analytics: data preparation → modeling → visualization.
I deliver dashboards and reports that are clear, actionable, and trusted by stakeholders.

☁️ Cloud & Big Data Engineering

Hands-on with modern cloud and distributed systems:
Python, SQL/NoSQL, Spark, PySpark, Databricks, Microsoft Fabric, Azure, AWS, Docker, Git, orchestration tools, and more.

🔧 Production-Grade Engineering

I don’t just build prototypes, I build deployable, maintainable, and scalable systems using clean architecture, CI/CD, monitoring, versioning, and cloud best practices.
Your AI or data product will be ready for real users and real workloads.

I care about delivering real value: enabling data-driven decisions, unlocking hidden insights, and building intelligent systems that grow with your business. Let me help you turn data into impact.

Let’s talk, I’m ready to dive into your data challenges and deliver a solution that’s robust, efficient, and tailored to your needs.

Why choose me

Strong combination of data engineering and machine learning knowledge, bridging data infrastructure with intelligent analytics.

Focus on building clean, scalable, and production-ready pipelines + models (not just prototypes).

Client-oriented: I aim to solve problems, not just deliver code, I communicate clearly, deliver on time, and think about long-term value.

Flexible and adaptive: happy to work on small clean-up tasks, full data-stack buildouts, analytics, or long-term ML projects.

Python | Microsoft Fabric | Onelake | Data Pipelines | Databricks | Pyspark | Azure Function | SQL Server | Medallion Architecture | Azure | Azure DevOps | Azure Data Factory | Dataflow | Azure Purview | AWS | Git | Docker | Playwright | Puppeteer | Selenium | Exasol | REST APIs | Real-Time Hub | Lambda | Fargate | CodePipeline | OpenAI API | GPT APIs | Cloud Security | Monitoring| TensorFlow | Transformers | NLTK | Scikit-Learn | Django | Natural Language Processing | Google Bert | Machine Learning | Neural Network | Deep Learning | Artificial Intelligence | LLM Prompt Engineering | Data Science | Predictive Model | Machine Learning Model | Data Analysis | ChatGPT API Integration | Rag's LLM | Computer Vision | OpenCV | Face Detection | AI Development | GPT-4 API | API | API Integration | Amazon Web Services | Conversational AI | Generative AI Prompt Engineering | Azure Service Fabric | Selenium | Puppeteer | PROXY | Networks Remote Support Software | AWS Lambda | AWS Fargate | AWS CodePipeline | Batch Data Processing | Real-Time Data Processing | Web Scraping | Selenium WebDriver | Real-Time Hub | Microsoft Fabrics | Data Engineering | Medalion Architecture

Steps for completing your project

After purchasing the project, send requirements so Akinyiga can start the project.

Delivery time starts when Akinyiga receives requirements from you.

Akinyiga works on your project following the steps below.

Revisions may occur after the delivery date.

Initial Consultation and Requirement Gathering:

Discuss project objectives and scope. Understand specific needs and goals. Gather detailed requirements for the chosen service tier.

Project Proposal and Agreement:

Provide a comprehensive project proposal. Outline deliverables, timelines, and pricing. Finalize the project agreement and contract.

Review the work, release payment, and leave feedback to Akinyiga.