You will get Deep learning, Computer Vision, and Data Processing Projects using Python
Project details
✔Machine Learning Software Engineer
✔ Rising Talent with 100% Job Success
✔ Turing top 1% verified Python and Machine Learning expert
✔ Over three years of experience
I am a Machine Learning doctoral aspirant and a machine Learning expert with over 5 years of experience writing Python codes, and over 3 years of experience developing machine learning and deep learning algorithms.
════════════ MY SERVICES ════════════
🟢Building Custom CV, NLP, ML, RL models from scratch
🟢Data Modelling, Time Series Analysis, Text Analysis
🟢Exploratory Data Analysis, Model Training, Hyperparameter Optimization
🟢Exposing Machine Learning Models via REST and Fast API’s
🟢Custom API’s for fetching, transforming, and loading data
🟢Analytics, Data Exploration, ETL Pipelines
🟢Solutions expert across a wide range of domains
🟢 ML Powered Market Analytics and Business Intelligence
Data Analysis and Story Building
💡Analytics API’s for fetching, transforming, and returning required analysis
💡Efficient and Powerful Machine Learning Models
💡Custom & Interactive Dashboards and ML Apps
💡NLP, Machine Learning, and Deep Learning Implementations
💡Model Deployments, Data analysis and Visualizations
✔ Rising Talent with 100% Job Success
✔ Turing top 1% verified Python and Machine Learning expert
✔ Over three years of experience
I am a Machine Learning doctoral aspirant and a machine Learning expert with over 5 years of experience writing Python codes, and over 3 years of experience developing machine learning and deep learning algorithms.
════════════ MY SERVICES ════════════
🟢Building Custom CV, NLP, ML, RL models from scratch
🟢Data Modelling, Time Series Analysis, Text Analysis
🟢Exploratory Data Analysis, Model Training, Hyperparameter Optimization
🟢Exposing Machine Learning Models via REST and Fast API’s
🟢Custom API’s for fetching, transforming, and loading data
🟢Analytics, Data Exploration, ETL Pipelines
🟢Solutions expert across a wide range of domains
🟢 ML Powered Market Analytics and Business Intelligence
Data Analysis and Story Building
💡Analytics API’s for fetching, transforming, and returning required analysis
💡Efficient and Powerful Machine Learning Models
💡Custom & Interactive Dashboards and ML Apps
💡NLP, Machine Learning, and Deep Learning Implementations
💡Model Deployments, Data analysis and Visualizations
Machine Learning Tools
Amazon SageMaker, Apache Spark, Apache Spark MLlib, Azure Machine Learning, BERT, ChatGPT, GitHub Copilot, Google AutoML, Google Data Studio, Google Sheets, GPT-3, Keras, Kubeflow, MLflow, NumPy, Open Neural Network Exchange, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$50
|
Standard
$100
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 7 days | 5 days | 4 days |
Number of Revisions | Unlimited | Unlimited | Unlimited |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10 - $30
19 reviews
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This project doesn't have any reviews.
RG
Rodney G.
Mar 30, 2026
Python Tutor for Hugging Face Models
Babatunde is an absolute professional. He did a spectacular job on my project - he showed up on time, he had accomplished pre-work, and perfectly delivered on the contract requirements. His technical expertise is excellent. He has a patient and solution-focused manner and is a joy to work with. I highly recommend him for your project.
RO
Ruth O.
Jan 17, 2026
AI Automation Engineer for RAG System Fix
Babatunde efficiently troubleshot our AI automation workflow and resolved the issue. He understood the problem fast and delivered exactly what we needed.
BY
Brian Y.
Jan 13, 2026
AI Researcher - LLM
SR
Ste R.
Jan 4, 2026
Full Local Conversational AI Agent – LLM (Mistral) + RAG + Next.js
The work delivered did not comply with the agreed Statement of Work.
Essential contractual requirements were not met, and no independent and reproducible verification of compliance was provided, despite repeated requests. The delivery relied on artifacts and explanations rather than demonstrable and self-contained compliance with the specifications.
In addition, fundamental elements described in the scope were missing, with no usable or verifiable functionality.
As a result of these shortcomings, the contract ended in a dispute handled through Upwork mediation. I do not recommend this freelancer.
Essential contractual requirements were not met, and no independent and reproducible verification of compliance was provided, despite repeated requests. The delivery relied on artifacts and explanations rather than demonstrable and self-contained compliance with the specifications.
In addition, fundamental elements described in the scope were missing, with no usable or verifiable functionality.
As a result of these shortcomings, the contract ended in a dispute handled through Upwork mediation. I do not recommend this freelancer.
CA
Cindy A.
Aug 23, 2025
60 minute consultation
About Babatunde
AI Automation | Machine Learning | Ex Turing Engineer
100%
Job Success
Columbus, United States - 6:46 am local time
No fluff, just real values.
With years of hands-on experience in developing, deploying, and optimizing AI solutions, I specialize in MLOps, Large Language Models (LLMs), and scalable AI infrastructure. My expertise spans end-to-end machine learning workflows, from model training to deployment, monitoring, and scaling in production.
I have successfully built and managed LLM-powered applications, ensuring efficiency, reliability, and scalability using modern MLOps practices. My work has driven innovation across healthcare, academia, and e-commerce, automating complex processes and enabling intelligent decision-making.
🔥 Core Expertise
MLOps & AI Infrastructure:
✅ Model Deployment: FastAPI, Flask, Docker, Kubernetes, AWS Lambda
✅ Model Monitoring & Optimization: MLflow, Weights & Biases, Great Expectations, CometML
✅ CI/CD for ML: GitHub Actions, DVC, Terraform, CloudFormation
✅ Scalable Compute: AWS SageMaker, GCP Vertex AI, Azure Machine Learning
✅ Vector Databases: Pinecone, ChromaDB, Weaviate, FAISS
✅ Data Pipelines: Apache Kafka, Redpanda, Airflow, Prefect
LLMs & Generative AI:
✅ LLM Fine-Tuning: BERT, GPT (OpenAI, Llama, Mistral, Claude), LoRA, QLoRA
✅ Retrieval-Augmented Generation (RAG): LangChain, Haystack, Milvus
✅ Prompt Engineering & Optimization
✅ Open-Source LLMs: LlamaIndex, Hugging Face Transformers
✅ AI Assistants: Chatbot Development, Multi-modal LLMs
Machine Learning & Deep Learning:
✅ NLP: Named Entity Recognition (NER), Text Classification, Speech Recognition
✅ Computer Vision: Object Detection (YOLO), Image Segmentation, OCR (Tesseract, PaddleOCR)
✅ Supervised & Unsupervised Learning: XGBoost, Random Forest, SVM, KNN
✅ Time-Series Forecasting & Anomaly Detection
Cloud & DevOps for AI:
✅ AWS (S3, Lambda, SageMaker, Bedrock), GCP (Vertex AI, BigQuery)
✅ Serverless AI Deployments & Microservices
✅ SQL & NoSQL Databases: PostgreSQL, MySQL, MongoDB
🔑 Why Work With Me?
✅ Production-Ready AI – I design and implement scalable ML pipelines that ensure smooth integration into real-world applications.
✅ MLOps & AI Deployment – From model versioning to automated retraining, I handle the full ML lifecycle.
✅ LLM Optimization & Fine-Tuning – I help businesses integrate custom AI assistants using the latest LLM research.
✅ Robust & Scalable Code – My solutions are efficient, well-documented, and optimized for long-term maintainability.
✅ Transparent & Effective Communication – I collaborate closely with clients, ensuring alignment at every stage of development.
Steps for completing your project
After purchasing the project, send requirements so Babatunde can start the project.
Delivery time starts when Babatunde receives requirements from you.
Babatunde works on your project following the steps below.
Revisions may occur after the delivery date.
Discussion of project requirement
The client sends me a message to discuss the project requirement
Demo assessment
I will create a demo on the same day for the cliemt to assess and then provide feedback. Then I start building the complete product.