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I'm Deshraj Sharma, a senior AI/ML and MLOps engineer with 10+ years of experience designing and deploying enterprise-grade AI solutions across AWS, Azure, and GCP. I specialize in building end-to-end ML pipelines, developing AI-powered applications, integrating image analysis workflows, and managing backend and frontend systems. I collaborate with remote teams, implement CI/CD pipelines, and translate complex AI/ML solutions into production-ready tools for enterprise and government projects. I'm passionate about optimizing data workflows, automating processes, and delivering reliable, scalable AI capabilities.…I'm Deshraj Sharma, a senior AI/ML and MLOps engineer with 10+ years of experience designing and deploying enterprise-grade AI solutions across AWS, Azure, and GCP. I specialize in building end-to-end ML pipelines, developing AI-powered applications, integrating image analysis workflows, and managing backend and frontend systems. I collaborate with remote teams, implement CI/CD pipelines, and translate complex AI/ML solutions into production-ready tools for enterprise and government projects. I'm passionate about optimizing data workflows, automating processes, and delivering reliable, scalable AI capabilities.

Deshraj Sharma

AI Engineer, Data Scientist, DevOps Developer, +2

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I'm Deshraj Sharma, a senior AI/ML and MLOps engineer with 10+ years of experience designing and deploying enterprise-grade AI solutions across AWS, Azure, and GCP. I specialize in building end-to-end ML pipelines, developing AI-powered applications, integrating image analysis workflows, and managing backend and frontend systems. I collaborate with remote teams, implement CI/CD pipelines, and translate complex AI/ML solutions into production-ready tools for enterprise and government projects. I'm passionate about optimizing data workflows, automating processes, and delivering reliable, scalable AI capabilities.…I'm Deshraj Sharma, a senior AI/ML and MLOps engineer with 10+ years of experience designing and deploying enterprise-grade AI solutions across AWS, Azure, and GCP. I specialize in building end-to-end ML pipelines, developing AI-powered applications, integrating image analysis workflows, and managing backend and frontend systems. I collaborate with remote teams, implement CI/CD pipelines, and translate complex AI/ML solutions into production-ready tools for enterprise and government projects. I'm passionate about optimizing data workflows, automating processes, and delivering reliable, scalable AI capabilities.

Available to hire

I’m Deshraj Sharma, a senior AI/ML and MLOps engineer with 10+ years of experience designing and deploying enterprise-grade AI solutions across AWS, Azure, and GCP. I specialize in building end-to-end ML pipelines, developing AI-powered applications, integrating image analysis workflows, and managing backend and frontend systems.

I collaborate with remote teams, implement CI/CD pipelines, and translate complex AI/ML solutions into production-ready tools for enterprise and government projects. I’m passionate about optimizing data workflows, automating processes, and delivering reliable, scalable AI capabilities.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

AI & ML Engineer at Netskope

February 1, 2025 - Present

Designed and implemented AI-driven image analysis pipelines to assess and compare visual data for reporting purposes. Developed backend services using FastAPI for automated document generation and data aggregation. Managed Postgres databases for storing and processing structured and unstructured project data. Built automation pipelines for collecting and processing data from multiple sources to support AI models. Collaborated with frontend developers to integrate ML outputs into React-based user interfaces. Ensured solutions met organizational and regulatory standards for reporting and compliance. Conducted testing, validation, and troubleshooting of AI/ML workflows across cloud environments. Supported remote teams in adopting AI tools and pipelines, providing documentation and guidance.

AI & MLOps Engineer at John Deere

August 1, 2022 - December 1, 2024

Developed ML models for image recognition and classification to evaluate renovation progress. Built scalable backend services with FastAPI, integrating data from multiple sources for automated report generation. Implemented Postgres-based data storage and retrieval solutions optimized for large datasets. Automated preprocessing and validation of image and textual data to ensure consistency and reliability. Collaborated with React frontend developers to present AI-driven insights in dashboards and reports. Maintained CI/CD pipelines for model deployment, retraining, and monitoring using MLflow and Jenkins. Assisted in testing, debugging, and refining features to ensure production-grade performance. Worked closely with stakeholders to translate AI/ML outputs into actionable reports for decision-making.

MLOps & AI Engineer at SailPoint

December 1, 2020 - December 1, 2021

Designed end-to-end ML pipelines to generate automated reports from aggregated data sources. Developed and maintained backend APIs with FastAPI for data ingestion and AI model integration. Implemented image analysis workflows to classify and evaluate visual data in various projects. Managed Postgres databases for storing structured and unstructured data required for AI processing. Collaborated with frontend developers to display AI model results in React interfaces. Automated feature engineering and preprocessing using Python and Pandas for model training. Provided guidance and support to team members for integrating AI-driven workflows. Conducted exploratory data analysis and validation to ensure model reliability and accuracy.

DevOps Engineer at Capgemini

September 1, 2019 - September 1, 2020

Provisioned and managed cloud infrastructure for AI/ML workloads, ensuring high availability and security. Automated CI/CD pipelines to deploy ML models and backend services efficiently. Implemented monitoring and logging to track system performance and AI workflow health. Supported integration of FastAPI services with Postgres databases for secure data storage. Collaborated with cross-functional teams to ensure smooth data flow and application deployment. Managed containerized deployments using Docker and Kubernetes (EKS/GKE). Assisted in troubleshooting and resolving production issues in ML pipelines. Documented workflows, best practices, and operational guidelines for ML systems.

DevOps/ML Pipeline Engineer at FICO

July 1, 2018 - August 1, 2019

Provisioned AWS and GCP infrastructure to support AI/ML pipelines and data-intensive applications. Built automated deployment pipelines with Jenkins and GitHub Actions for backend and ML services. Configured monitoring dashboards with Prometheus and Grafana to track system and pipeline performance. Collaborated with development teams to integrate ML models into production workflows. Managed Postgres and cloud storage solutions for structured and unstructured data. Assisted in testing and validation of AI workflows before production deployment. Documented CI/CD and deployment procedures to ensure reproducibility and reliability. Provided guidance on secure and efficient deployment of AI/ML solutions.

DevOps Engineer at Infosys

November 1, 2014 - July 1, 2018

Developed backend services and APIs to support AI-enabled tools and enterprise applications. Automated build, test, and deployment workflows using Jenkins and Maven pipelines. Managed Linux servers, automated routine system tasks, and ensured secure operations. Implemented version control and branching strategies using Git and SVN for collaborative development. Deployed web and API services via Tomcat and Apache, coordinating with QA teams. Assisted teams in integrating AI/ML features into operational workflows. Monitored system performance and logs to maintain reliability and uptime. Documented deployment procedures, scripts, and best practices for team reference.