Sarath Kumar Kathiravan

About Me

AI Engineer with 3+ years of experience in Machine Learning, Cloud Solutions, Data Engineering, Deep Learning, Generative AI, enterprise software development, AI-driven automation and Data Analysis. Skilled in designing and deploying AI solutions, including LLMs, NLP applications, computer vision systems, and AI agents. Proficient in SQL, Power BI, and Tableau for data analytics and visualization, as well as cloud platforms (AWS, GCP, Azure) and DevOps tools (Docker, Kubernetes, Git). Developed large-scale ETL pipelines to handle high-volume data processing. With certifications in AWS Machine Learning, IBM AI Development, and advanced specializations in ML/DL and Generative AI, I am passionate about leveraging data-driven insights and AI innovation to solve real-world problems and deliver measurable business impact. Conduct real-time system monitoring to ensure SLAs are met and troubleshoot issues proactively. Provide hands-on technical support for AI applications and cloud platforms. Created Power BI dashboards with advanced metric tracking.

Skills

Machine Learning & Deep Learning

90%

Generative AI

85%

Data Analysis & Visualization

90%

Cloud Computing

80%

DevOps for AI

80%

AI Deployment & Automation

90%

SQL

80%

Experience

Rubixe AI

AI and IT Support Engineer | Oct 2024 - Present

• Designed and deployed cutting-edge AI systems, including chatbots, LLMs, and advanced computer vision solutions using frameworks like Transformers and GANs. Developed and maintained cloud-based applications and systems using AWS and Azure. Developed large-scale ETL pipelines on AWS to handle high-volume data processing. Delivered 10+ end-to-end AI solutions, leveraging cloud platforms (AWS, GCP, Azure) and tools like Docker, Kubernetes, and CI/CD pipelines, resulting in a 30% increase in operational efficiency. Built scalable data pipelines using SQL and Python, enabling seamless data processing and analysis. Integrated AI-powered agents with SAP ERP systems, enhancing automation and decision-making. Conduct real-time system monitoring to ensure SLAs are met and troubleshoot issues proactively. Provide hands-on technical support for AI applications and cloud platforms. Created Power BI dashboards with advanced DAX for internal reporting, simplifying audit metric tracking.

Pure Chems | Chennai, India

Machine Learning Engineer/ Cloud Consultant | Feb 2022 - March 2024

• Built and optimized machine learning models for forecasting sales, revenue, and stock allocation, improving distribution strategies and decision-making by 20% accuracy gains. Implemented microservices architecture to improve scalability and performance. Implemented Infrastructure-as-Code (AWS CDK, Terraform) to automate data infrastructure management. Developed interactive dashboards with Power BI and Tableau, integrating SQL and data analysis techniques to enable real-time insights and better decision-making. Used Python and advanced algorithms to enhance predictive analytics and streamline resource planning. Built and maintained cloud applications leveraging Java, TypeScript, and SAP BTP. Developed predictive models and dashboards using Python, SQL, and Power BI, enhancing business visibility.

CPCL | Chennai, India

Data Scientist/ Devops | Jan 2021 - Feb 2022

• Collected and analyzed IoT equipment data across 10+ systems to develop predictive models, reducing maintenance costs by 25% and improving operational efficiency. Managed CI/CD automation using Jenkins, GitHub Actions, and Terraform. Collaborated closely with data scientists to deploy ML models into production, ensuring smooth integration and real-time inference. Built data visualization dashboards using Power BI and Tableau to present actionable insights and monitored performance metrics. Leveraged SQL and Python to process large datasets, optimize workflows, and develop machine learning models for performance monitoring. Gained hands-on experience in SAP Business Technology Platform (BTP) and cloud-based architectures. Analyzed SAP and ERP data to uncover process risks and presented findings via interactive dashboards.