I am a machine learning engineer and developer with over 8 years of experience, deeply skilled in AI technologies including machine learning, computer vision, and natural language processing. I combine individual expertise with strong teamwork to navigate complex AI challenges and contribute impactful advancements that influence society and economy. Throughout my career, I have developed robust AI systems, built scalable applications, and optimized machine learning models to improve efficiency and accuracy across various domains. My passion lies in leveraging cutting-edge technologies to solve real-world problems and drive innovation.

John Michael Weaver

PRO

I am a machine learning engineer and developer with over 8 years of experience, deeply skilled in AI technologies including machine learning, computer vision, and natural language processing. I combine individual expertise with strong teamwork to navigate complex AI challenges and contribute impactful advancements that influence society and economy. Throughout my career, I have developed robust AI systems, built scalable applications, and optimized machine learning models to improve efficiency and accuracy across various domains. My passion lies in leveraging cutting-edge technologies to solve real-world problems and drive innovation.

Available to hire

I am a machine learning engineer and developer with over 8 years of experience, deeply skilled in AI technologies including machine learning, computer vision, and natural language processing. I combine individual expertise with strong teamwork to navigate complex AI challenges and contribute impactful advancements that influence society and economy.
Throughout my career, I have developed robust AI systems, built scalable applications, and optimized machine learning models to improve efficiency and accuracy across various domains. My passion lies in leveraging cutting-edge technologies to solve real-world problems and drive innovation.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent

Work Experience

Full Stack Engineer at DEPO IQ
September 1, 2024 - Present
Developed an AI Medical Supporting System utilizing computer vision and large language models with PyTorch, Claude, MIMI3, AWS SageMaker, and S3 buckets implementing a retrieval-augmented generation pipeline. Created a real-time data analytics dashboard using Snowflake and Python integrated with Apache Airflow for ETL orchestration, reducing report generation time by 70%. Built an LLM-powered chatbot using Hugging Face and DialogFlow deployed on AWS SageMaker with CircleCI pipelines, improving customer satisfaction by 18% and reducing call center load by 40%.
Machine Learning Engineer at TRAVEL AI
August 31, 2024 - August 21, 2025
Developed and trained deep learning models for person re-identification, gender classification, and comparative image quality assessment using PyTorch, achieving high accuracy and precision. Employed code optimization techniques which significantly reduced face detection and feature extraction time. Designed a CUDA-based algorithm to find the most similar person with a 98% reduction in processing time.
Machine Learning Engineer at CARDO AI
March 31, 2023 - August 21, 2025
Developed a medical imagery detection system performing image segmentation on radiology and pathology images to detect anomalies and grade diseases, also providing medication recommendations using SAM on AWS SageMaker. Introduced a customized AI chatbot for banking CRM management deployed on AWS. Developed real-time rain droplet removal prototypes for vehicle cameras using Spark, Apache Kafka, Python, and PyTorch. Implemented ML applications with Django Rest Framework and deployed on AWS Elastic Container. Enhanced system reliability and decoupling using AWS SQS for background operations and designed algorithms for real-time lane marking detection with OpenCV and PyTorch, deploying websites on AWS with CI/CD pipelines via Jenkins.
Software Engineer at ARKUS AI
May 31, 2019 - August 21, 2025
Built real-time object detection models and pipelines using Kubernetes for CI/CD, OpenCV, and Python libraries. Directed cloud billing management system development with Angular and AWS serverless backend. Designed pedestrian detection algorithms using deep neural networks integrated with Angular Material dashboards. Developed customized deep learning vehicle tracking models using TensorFlow and Python, integrated with AWS API Gateway for RESTful APIs. Optimized computer vision models using code optimization such as loop unrolling and vectorization.
Software Engineer at CHARISMA AI
July 31, 2017 - August 21, 2025
Adopted AWS DynamoDB for efficient cloud billing data storage and real-time analytics. Enhanced system scalability using AWS CloudWatch and S3 for operational monitoring and archival. Developed customized algorithms for detecting changes in remote locations with alerts for person or vehicle detection. Designed interactive UI components with Vue.js and Vuex for cloud billing information. Created RESTful APIs and microservices using Python and Flask, integrating billing data from cloud provider APIs with secure JWT authentication and role-based access controls.

Education

Bachelor’s Degree at Middlesex University
April 1, 2012 - March 1, 2015

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Financial Services, Transportation & Logistics, Software & Internet, Computers & Electronics, Travel & Hospitality
    paper CardDealerPro

    I have developed this site from scratch: https://www.twine.net/signin
    This software consists of web, mobile, and desktop application.
    The core engine is an AI engine to detect and classify the scanned sports card to match the correct information on the card.
    The web application has been developed by Django as a backend framework, and ReactJS as a frontend framework.
    I have worked as a Project Manager while developing this project.