You will get all in one Software Engineering Services, Data Science, AI/ML,
Project details
What sets me apart as an engineer is my unique combination of extensive experience in AWS services, data integration, and AI/ML engineering. My hands-on expertise with a wide array of AWS tools—including AWS AppFlow, Lambda, API Gateway, Amazon RDS, S3, Glue DataBrew, SageMaker, Amplify, Cognito, and CloudWatch—enables me to build end-to-end solutions that are scalable, secure, and cost-effective.
Moreover, my ability to lead complex projects independently—from data ingestion and integration to AI-driven personalization—demonstrates strong problem-solving skills and a deep understanding of both data engineering and machine learning. My proficiency in back-end development, coupled with knowledge of front-end frameworks like React or Angular, allows me to create seamless user interfaces and integrations. This holistic skill set, along with my attention to detail and commitment to delivering high-quality solutions, distinguishes me in the field and makes me exceptionally well-suited for roles that require both technical depth and leadership.
Moreover, my ability to lead complex projects independently—from data ingestion and integration to AI-driven personalization—demonstrates strong problem-solving skills and a deep understanding of both data engineering and machine learning. My proficiency in back-end development, coupled with knowledge of front-end frameworks like React or Angular, allows me to create seamless user interfaces and integrations. This holistic skill set, along with my attention to detail and commitment to delivering high-quality solutions, distinguishes me in the field and makes me exceptionally well-suited for roles that require both technical depth and leadership.
Machine Learning Tools
ChatGPT, Databricks Platform, Deeplearning4j, Fiddler.ai, GitHub Copilot, GPT-3, Keras, NumPy, Open Neural Network Exchange, OpenCV, pandas, Python, Python Scikit-Learn, R, SAS, scikit-learn, SciPy, TensorFlowWhat's included
| Service Tiers |
Starter
$200
|
Standard
$500
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 1 day | 30 days | 70 days |
Number of Revisions | 0 | 0 | 0 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$100
Additional Scenario
(+ 1 Day)
+$200
Additional Graph/Chart
+$250
Source Code
(+ 1 Day)
+$300
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EG
Eddie G.
Feb 8, 2025
Backend Engineer for Open Source Project Installation on EC2
Started great Asha then stopped communicating until he disappeared
About Diego
Senior Software/Cloud Engineer
Boulder, United States - 9:11 pm local time
Steps for completing your project
After purchasing the project, send requirements so Diego can start the project.
Delivery time starts when Diego receives requirements from you.
Diego works on your project following the steps below.
Revisions may occur after the delivery date.
Define
We want to define everything in the first step of the project, define requirements how we can reach them, and how the code, documentation will fill the framework for us.