Danuka isn't taking new orders for this project right now. Here are some similar projects to explore.
You will get Machine learning model for Computer Vision
Project details
I am a full-time Artificial intelligence engineer working for the largest aircraft manufacturer in the world. I have diverse AI experience working with major companies including the largest finance corporations and the Biggest Engineering companies in Europe and the UK.💫 Former Top-rated machine learning engineer with a 100% job success rate in Upwork.
1)Machine learning classification
2)Regression
3)Natural Language processing
4)Deep learning
5)Computer vision
6)SVM
7)Renfoircment Leraning
I am capable of using
1)pandas
2)Numpy
3)TensorFlow
4)Keras
5)Scikit-Learn
6)Matplotlib
7)AWS
Customer satisfaction is my number one priority. I will guarantee your satisfaction
1)Machine learning classification
2)Regression
3)Natural Language processing
4)Deep learning
5)Computer vision
6)SVM
7)Renfoircment Leraning
I am capable of using
1)pandas
2)Numpy
3)TensorFlow
4)Keras
5)Scikit-Learn
6)Matplotlib
7)AWS
Customer satisfaction is my number one priority. I will guarantee your satisfaction
Machine Learning Tools
Amazon SageMaker, Google Data Studio, Keras, Kubeflow, MATLAB, MLflow, NLTK, NumPy, NVIDIA AI Platform, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, R, scikit-learn, SciPy, SQL, TensorFlow, Vertex AI, XGBoostWhat's included
| Service Tiers |
Starter
$250
|
Standard
$400
|
Advanced
$750
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 3 | 4 |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 1 | 3 | 3 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$100
Additional Model Variation
(+ 1 Day)
+$100
81 reviews
(70)
(6)
(5)
(0)
(0)
This project doesn't have any reviews.
SW
Shehan W.
Mar 10, 2026
Enterprise RAG Chatbot Development on GCP (Cloud Run) – Secure, Citation-Grounded AI System
Great working with Danuka. He has a solid understanding of end-to-end agentic workflows and clearly knows how to design and implement them following industry-standard security practices. He also focuses on cost-effective deployment without compromising performance or reliability. Communication was smooth, he understood the requirements well, and delivered the work professionally. I appreciate the technical expertise and the structured approach he brought to the project. Highly recommended to work with.
DA
Danitha A.
Jan 20, 2024
AI-based mobile app development and deployment
SW
Shehan W.
Jan 16, 2024
Deep Learning Engineer
"Exceptional performance! Mr.Danuka not only completed the task on time but also exceeded our expectations. The attention to detail and the quality of work delivered were outstanding. Thank you for your commitment to excellence!"
TA
Txomin A.
Jan 5, 2024
Opencv computer vision model and Streamlit web app development
Danuka delivered on time, a high-quality job. He is always responsive and supportive even with requirements out of the project context. Highly recommended developer!
DA
Danitha A.
Jan 22, 2022
Simple audio classification project.
Project was completed within the time limit. And the project was done beyond my expectations. Highly recommended.
About Danuka
Senior AI Engineer | Ex Airbus| Secure, Scalable LLM Solutions
London, United Kingdom - 5:17 am local time
enterprise‑grade results. With 5+ years’ experience at Airbus and Argus Media, I
specialise in generative AI, multi‑agent architectures and RAG pipelines.
What I deliver:
Enterprise automation:Developed LangGraph‑based agents that reduced
project timelines from weeks to hours and eliminated subcontractor dependencies.
Secure financial AI:Architected Model Context Protocol (MCP) servers that
let institutional clients safely query proprietary financial data.
High‑precision RAG:Achieved 91 %+ faithfulness and 90 % context precision
by combining Self‑RAG, HyDE and CoR‑RAG techniques.
Performance optimisation:Replaced legacy models with XGBoost and improved
F1‑scores by 15 % while ensuring regulatory compliance.
Core technical skills:LangChain/LangGraph, Google ADK, Vertex AI, Unsloth,
TRL & PEFT, vLLM (PagedAttention), RLHF, RAG & vector search (IVF/HNSW),
TensorFlow, PyTorch, XGBoost, scikit‑learn, Docker, GCP & AWS.
Whether you need a simple LLM chatbot or a secure multi‑agent system, I can
architect, build and deploy a solution tailored to your business. Let’s discuss
how generative AI can drive your operational efficiency.
Steps for completing your project
After purchasing the project, send requirements so Danuka can start the project.
Delivery time starts when Danuka receives requirements from you.
Danuka works on your project following the steps below.
Revisions may occur after the delivery date.
Project scope
In this step, the aim of the project and appropriate data set wear decided.
Model building
Defining a machine learning model