You will get a ML model trained on your data.
Project details
I provide tailored machine learning solutions designed to meet specific business needs, whether through fine-tuning pre-trained models or building custom ones from scratch. My approach focuses on delivering efficient, scalable, and deployment-ready AI systems. With expertise in both technical execution and client collaboration, I ensure high-quality results while adapting to unique project requirements. What sets me apart is a commitment to seamless integration, performance optimization, and ongoing support for long-term success.
Machine Learning Tools
Amazon SageMaker, Azure Machine Learning, BERT, ChatGPT, Databricks Platform, Databricks MLflow, Deeplearning4j, GPT-3, Keras, MLflow, NLTK, NumPy, NVIDIA AI Platform, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, SQL, TensorFlow, Tesseract OCR, Word2vecWhat's included
| Service Tiers |
Starter
$100
|
Standard
$200
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 3 days | 3 days | 3 days |
Number of Revisions | 1 | 1 | 1 |
Number of Model Variations | 1 | 1 | 1 |
Number of Scenarios | 1 | 1 | 1 |
Model Validation/Testing | - | ||
Model Documentation | |||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $200
Additional Revision
+$50
Additional Model Variation
(+ 2 Days)
+$100
Additional Graph/Chart
(+ 1 Day)
+$30
Model Validation/Testing
(+ 1 Day)
+$100
Data Source Connectivity
(+ 1 Day)
+$50About Avinash
Ai Automation Engineer
Ghaziabad, India - 1:56 am local time
I help founders and teams eliminate repetitive work using AI-powered automation and LLM systems.
From internal tools to customer workflows, I build practical AI solutions that reduce operational load and scale with your business.
If you’re spending hours on manual tasks, reporting, support, or data handling, AI can do it better.
Using LLMs, MCP (Model Context Protocol), agent-based workflows, and secure APIs, I design systems that integrate directly into your existing tools—no tab switching, no manual effort.
Tech stack includes:
Python, LLMs (OpenAI), MCP, LangChain, RAG, Agents, FastAPI, APIs, databases, and workflow automation.
Best for founders and teams seeking genuine, measurable time savings, not just AI demos.
Let’s turn effort into execution.
Steps for completing your project
After purchasing the project, send requirements so Avinash can start the project.
Delivery time starts when Avinash receives requirements from you.
Avinash works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis
Understand project goals, target outcomes, and data availability.
Data Preparation and Model Development
Prepare the dataset, design/select the model, and train or fine-tune it for optimal performance.