Machine Learning Engineering

Rashik Shahjahan

(0)

Starting at

$

150

/hr

About this service

Summary

I offer expert-level machine learning model development and API integration services, leveraging a robust background in software engineering with proven success in enhancing system performance, reliability, and user experience across diverse applications. Unique in my approach is the ability to lead complex projects to successful completion, evidenced by my leadership in deploying a Python-based metrics monitoring system that significantly improved system availability, and my co-invention of a patented system for analyzing linguistic relationships. My technical versatility, combined with a track record of delivering tangible improvements, positions me to bring exceptional value to your projects.

Process

Initial Consultation and Requirement Analysis: Understand the client's needs and objectives, evaluate the data, and define the scope of the machine learning project.
Data Preparation and Feature Engineering: Clean, preprocess, and transform data to ensure it is suitable for training the machine learning model, including feature selection and engineering.
Model Development and Training: Design the machine learning algorithm, train the model using the prepared dataset, and perform validation to ensure its accuracy and effectiveness.
API Development: Develop a web API that allows for easy access to the machine learning model's capabilities, ensuring it is secure, scalable, and easy to integrate with other systems.
Documentation and Knowledge Transfer: Provide comprehensive documentation for the model and API, including setup, usage guides, and examples, ensuring the client can effectively use and maintain the system.
Deployment and Integration Support: Assist with deploying the model and integrating the API into the client's environment, ensuring seamless operation.

What's included

  • ML Model training

    Custom ML Model Development and Training: Design and train a machine learning model tailored to your specific requirements. This process includes data preprocessing, feature engineering, selection of an appropriate algorithm, and model optimization to ensure high accuracy and efficiency for the designated task.

  • Model API development

    Robust Model API Design and Implementation: Develop a robust, scalable web API that provides seamless integration with the machine learning model. The API will support efficient data exchange and allow for easy access to the model's predictions, facilitating its incorporation into client applications or systems.

  • Dcumentation

    Comprehensive Documentation and User Guide: Deliver detailed documentation covering all aspects of the machine learning model and its associated web API. This includes a technical overview, setup and installation instructions, usage examples, and best practices. The documentation will ensure you can effectively utilize and integrate the model and API into your projects with ease.

Example projects

Mistral-Instruct-Bangla

Skills and tools

Data Scientist
ML Engineer
AI Developer
PyTorch
TensorFlow

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