Adithya K Ramesh

General Experience:

SAP Development Landscape Management - Feature Based Engineering (04/2025 - present):

• End-to-end product design development of checks in code pipelines of continuous feature-based enhancements delivered for the S4 HANA Public Cloud product.
• Reduced continuous feature enhancements' delivery times by 30%.
• Technologies worked with: Java, Python, SAP ABAP, Docker and Git.

SAP Digital Manufacturing Cloud - Central Initial Load, Delta Lake and Archiving (06/2024 - 03/2025):

• End-to-end product design and development of archiving process, to replicate manufacturing data from analytics data store (warm store) to lakehouse (cold store) in SAP HDLFS, for building AI/ML capabilities upon.
• Technologies worked with: Python, Java Spring Boot, Docker, Kafka, Databricks, Kubernetes and Git.

SAP Digital Manufacturing Cloud - Insights (06/2023 - 05/2024):

• Full stack development of new product features.
• Developed product features for real-time analytical views of manufacturing processes, that improved overall process efficiency of customers, by 15%.
• Technologies worked with: Java Spring Boot, Python, Docker, Kafka, SAP UI5, Tricentis Tosca, Kubernetes and Git.

SAP Business Networks – Supply Chain

Collaboration Monitoring (08/2022 - 05/2023):

• Developed intuitive dashboards for seamless real-time business process monitoring experience.
• Helped reduce business issue resolution time by 20% via real-time status tracking of buyer/seller transactions.
• Technologies worked with: Grafana, Kapacitor, Telegraf, InfluxDB, Kafka, Docker, Kubernetes and Git.

SAP Internet of Things (IoT) – Tenant Onboarding (05/2021 - 08/2022):

• Involved in new product feature development.
• Increased regressions caught during development and reduced manual test effort by 10% by increasing automation coverage.
• Technologies worked with: Node.js, Java, Python, Docker, Kubernetes and Git.

SAP Sales Cloud C4C/CX OData and REST API

framework (05/2017 - 04/2021):

• Product design, development and customer incident handling.
• Improved code productive code performance by 40%.
• Technologies worked with: SAP ABAP, Node.js, Java, JMeter, Sahi Pro, Docker, Kubernetes and Git.

AI/ML Experience (01/2020 - present):

• Developed AI/ML solutions for insurance, manufacturing, banking, sales and automobile industries.
• AI/ML solutions include medical report summarization and incident resolution AI agents using LLMs and OCR, predictive model development (both linear and logistic) for sales and delivery prediction, sentiment analysis and product defect detection using deep learning and natural language processing (NLP) techniques.
• Technologies: Python, Node.js, Databricks, Firebase, DigitalOcean, SQL, Docker, Kubernetes and GIT.

• Worked on offshore SAP implementation projects for customers Celestica Inc., Federal Mogul Powertrain and Yara International.
• Developed custom objects for SAP modules such as SAP PM, SAP SD and SAP QM to simplify business processes.
• Technologies worked with: SAP ABAP RICEF.

• Worked on on-site and offshore implementation, roll-out and support projects for customers: Vienna Insurance Group, RAK Ceramics India, MPP Technologies and The Children's Place.
• Provided support for and developed custom objects for SAP modules such as SAP FSPM, SAP SD and SAP MM to improve business processes.
• Technologies used: SAP ABAP RICEF and OOABAP.

• Worked on offshore implementation, support and in-house tool development projects for General Motors Company, Abbott Laboratories and Mphasis - EAS Pre-sales and Solutions.
• Developed and provided support for custom objects in SAP modules such as SAP HCM, SAP FI and SAP SD.
• Technologies worked with: SAP ABAP RICEF and OOABAP.