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I am a Senior AI/ML Engineer with over 10 years of experience designing and deploying scalable machine learning solutions focused on computer vision, NLP, and predictive analytics. I have expertise in TensorFlow, PyTorch, AWS SageMaker, Python, Kubernetes, and Docker, and I excel at building robust data pipelines, cloud-native AI architectures, and workflow automation that enable efficient deployment of AI models into real-time applications and production environments. I am passionate about MLOps practices and optimizing machine learning workflows for large-scale solutions, collaborating effectively with cross-functional teams to drive innovation. My hands-on experience encompasses backend development, secure payment integration, containerization, and CI/CD pipelines, ensuring scalable, secure, and high-performance software and AI systems for enterprise environments.…I am a Senior AI/ML Engineer with over 10 years of experience designing and deploying scalable machine learning solutions focused on computer vision, NLP, and predictive analytics. I have expertise in TensorFlow, PyTorch, AWS SageMaker, Python, Kubernetes, and Docker, and I excel at building robust data pipelines, cloud-native AI architectures, and workflow automation that enable efficient deployment of AI models into real-time applications and production environments. I am passionate about MLOps practices and optimizing machine learning workflows for large-scale solutions, collaborating effectively with cross-functional teams to drive innovation. My hands-on experience encompasses backend development, secure payment integration, containerization, and CI/CD pipelines, ensuring scalable, secure, and high-performance software and AI systems for enterprise environments.

Christopher Baboujian

AI Engineer, Developer, Web Developer, +3

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I am a Senior AI/ML Engineer with over 10 years of experience designing and deploying scalable machine learning solutions focused on computer vision, NLP, and predictive analytics. I have expertise in TensorFlow, PyTorch, AWS SageMaker, Python, Kubernetes, and Docker, and I excel at building robust data pipelines, cloud-native AI architectures, and workflow automation that enable efficient deployment of AI models into real-time applications and production environments. I am passionate about MLOps practices and optimizing machine learning workflows for large-scale solutions, collaborating effectively with cross-functional teams to drive innovation. My hands-on experience encompasses backend development, secure payment integration, containerization, and CI/CD pipelines, ensuring scalable, secure, and high-performance software and AI systems for enterprise environments.…I am a Senior AI/ML Engineer with over 10 years of experience designing and deploying scalable machine learning solutions focused on computer vision, NLP, and predictive analytics. I have expertise in TensorFlow, PyTorch, AWS SageMaker, Python, Kubernetes, and Docker, and I excel at building robust data pipelines, cloud-native AI architectures, and workflow automation that enable efficient deployment of AI models into real-time applications and production environments. I am passionate about MLOps practices and optimizing machine learning workflows for large-scale solutions, collaborating effectively with cross-functional teams to drive innovation. My hands-on experience encompasses backend development, secure payment integration, containerization, and CI/CD pipelines, ensuring scalable, secure, and high-performance software and AI systems for enterprise environments.

Available to hire

I am a Senior AI/ML Engineer with over 10 years of experience designing and deploying scalable machine learning solutions focused on computer vision, NLP, and predictive analytics. I have expertise in TensorFlow, PyTorch, AWS SageMaker, Python, Kubernetes, and Docker, and I excel at building robust data pipelines, cloud-native AI architectures, and workflow automation that enable efficient deployment of AI models into real-time applications and production environments.

I am passionate about MLOps practices and optimizing machine learning workflows for large-scale solutions, collaborating effectively with cross-functional teams to drive innovation. My hands-on experience encompasses backend development, secure payment integration, containerization, and CI/CD pipelines, ensuring scalable, secure, and high-performance software and AI systems for enterprise environments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

Senior AI/ML Engineer at Busy Human

June 30, 2025 - August 7, 2025

Built backend logic and processed data efficiently with Python, ensuring smooth platform performance and scalability. Created secure, scalable, and dynamic web applications using Django. Deployed and managed containerized applications with AWS ECS for seamless scaling. Managed large datasets with PostgreSQL for fast and reliable access. Integrated Stripe payments for secure and smooth transactions. Developed APIs for backend and frontend connectivity. Stored static files on AWS S3 for secure scalable storage. Used AWS Lambda for serverless computing to reduce costs and improve efficiency. Containerized apps with Docker for consistent environments. Managed code with Git, set up CI/CD pipelines for automated testing and deployment, enhancing release speed and safety. Automated infrastructure deployment with AWS CloudFormation ensuring consistent resource management.

Senior Software Engineer | AI/ML at Trans Data

September 1, 2021 - August 7, 2025

Handled backend development using Python for logic and data processing ensuring smooth operations. Created web applications and backend services using Django features. Improved content delivery using AWS CloudFront to cache and distribute static files. Managed and optimized PostgreSQL databases to store user and transactional data. Enabled asynchronous programming with AsyncIO for efficiency. Built REST APIs to facilitate communication between services and platforms. Used AWS Lambda for serverless computing reducing infrastructure costs and optimizing backend. Used Docker for consistent app environments across all stages. Automated testing and deployment with CI/CD pipelines to enhance speed and reliability. Fine-tuned PostgreSQL queries to improve performance. Implemented security measures to protect user data. Utilized load balancing techniques to distribute traffic evenly and prevent overload. Managed cloud infrastructure to ensure scalability and cost-efficiency.

Software Engineer at Appian

May 31, 2020 - August 7, 2025

Developed web applications using Python for backend logic and business processing. Used Django for backend services providing structure and security. Built frontend with React for dynamic responsive interfaces. Optimized PostgreSQL databases for faster queries and data management. Integrated APIs to enable smooth frontend-backend communication. Managed user authentication and data security. Streamlined CI/CD pipelines to automate testing and deployment. Focused on performance optimization to reduce latency and enhance user experience. Maintained application environments consistently across development, testing, production. Managed cloud infrastructure for scalability and cost control. Containerized applications with Docker ensuring consistency across stages. Implemented load balancing for handling traffic and performance during high usage. Monitored and maintained system health for availability and minimal downtime.

Web Developer at Bynder

March 31, 2018 - August 7, 2025

Built AI/ML models and managed data processing using Python. Created machine learning models for classification and prediction tasks with TensorFlow. Built and trained deep learning models for image and text analysis using Keras. Applied machine learning algorithms for data analysis and evaluation with Scikit-learn. Preprocessed and managed large datasets for model training and analytics using Pandas. Used NumPy for mathematical computations and data handling. Visualized data trends and model results using Matplotlib. Created advanced statistical plots to understand data relationships with Seaborn. Managed and queried structured databases for data storage and retrieval using SQL. Processed and analyzed large datasets across distributed systems with Hadoop. Handled large-scale data processing and real-time analytics with Spark. Developed interactive notebooks for data exploration and analytics with Jupyter. Deployed and scaled machine learning models and workloads on cloud using AWS.

Senior AI/ML Engineer at Busy Human

June 1, 2025 - August 7, 2025

Built backend logic and processed data efficiently in Python to ensure smooth platform performance and scalability. Created a secure, scalable, and dynamic web application with Django for frontend and backend. Deployed and managed containerized applications using AWS ECS for seamless scaling. Managed large datasets with PostgreSQL to provide reliable and consistent access. Integrated Stripe for secure payment processing to enhance user transaction experience. Developed APIs connecting backend and frontend, ensuring seamless data exchange. Stored static files securely on AWS S3. Leveraged AWS Lambda for serverless computing to reduce costs and improve backend efficiency. Containerized the app with Docker for consistent development and production environments. Managed code versioning with Git and set up CI/CD pipelines to automate testing and deployment, enabling faster and safer feature releases. Automated infrastructure deployment with AWS CloudFormation to ensure consistent resource m

Senior Software Engineer | AI/ML at Trans Data

September 1, 2021 - August 7, 2025

Handled backend development in Python for logic and data processing ensuring smooth operations. Managed backend services and created web applications using Django. Improved content delivery using AWS CloudFront for caching and distribution of static files across multiple servers. Maintained and optimized PostgreSQL relational databases for user and transactional data. Enabled asynchronous programming with AsyncIO to improve system efficiency. Built REST APIs to facilitate communication between services and platforms. Managed code versions and collaborated using Git. Employed AWS Lambda for serverless computing to reduce infrastructure costs and optimize backend functions. Ensured consistent application environments across all development stages with Docker. Automated testing and deployment via CI/CD pipelines enhancing development speed and reliability. Tuned PostgreSQL queries for faster database responses and performance improvements. Implemented security measures to protect user dat

Software Engineer at Appian

May 1, 2020 - August 7, 2025

Developed web applications using Python focusing on backend functionality and business logic. Used Django for backend services providing structure and platform security. Built frontend with React for a dynamic and responsive user interface. Optimized PostgreSQL databases for faster queries and better data management. Integrated APIs for smooth communication between frontend and backend. Managed user authentication and security features to protect data. Streamlined CI/CD pipelines automating testing and deployment processes. Focused on performance optimization to reduce latency and improve user experience. Ensured consistent application environments across development, testing, and production. Managed cloud infrastructure maintaining scalability and cost control. Used Docker to containerize the app and ensure consistency across stages. Implemented load balancing to manage traffic and ensure smooth performance during high usage. Monitored and maintained system health ensuring high availa

Web Developer at Bynder

March 1, 2018 - August 7, 2025

Built AI/ML models and handled data processing using Python. Created machine learning models for classification and prediction tasks utilizing TensorFlow. Built and trained deep learning models for image and text analysis using Keras. Applied machine learning algorithms for data analysis and model evaluation with Scikit-learn. Preprocessed and managed large datasets for training and analysis with Pandas. Used NumPy for mathematical computations and data manipulation. Visualized data trends and model results for insights using Matplotlib and advanced statistical plots with Seaborn. Managed and queried structured databases using SQL. Processed and analyzed large datasets across distributed systems with Hadoop. Handled large-scale data processing and real-time analytics with Spark. Developed interactive notebooks for data exploration and analysis using Jupyter Notebooks. Deployed and scaled machine learning models and workloads on the cloud using AWS.