Ramakrishnan Jayaraman

• Conducting client visits to assess feasibility, analyze requirements, and propose solutions.
• Demonstrating strong technical acumen and practical expertise, resulting in optimized performance, continuous improvement recommendations, and innovative product development.
• Documenting specific material requirements from customers and communicating them to relevant interfaces (PE, R&D, SQM).
• Delivering technical presentations about AT&S to prospective clients.
• Collaborating on the development of customized technical roadmaps for customers, specific plants, and research and development.
• Engaging in pre-calculations alongside plant process engineering and production logistics teams.
• Evaluating opportunities for technical optimization to enhance profitability.
• Playing a pivotal role in successful project execution by contributing technical insights throughout the development lifecycle

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• Technical clarification of customer inquiries and development of appropriate solutions in-house
• Support of technical sales in the preparation of quotation documents and calculation
• Presentation of the offered solution to the customer
• Preparation of tender documentation.

• Spearheaded the international team digitization project based on Predictive Maintenance(Industry 4.0) for the development of sensor systems for hydraulic presses in predictive maintenance solutions
• Performed data preparation, modelling and evaluation in Gear Oil sensor data using python and weka thereby fulfilling technical and business goals in my Master thesis at Miba.

• Responsible for resolving customer issues through hand on process investigations and analysis
• Track and monitor OEM PPM performance and ensure appropriate corrective actions are taken concerning exact complaints from customer (8D reports, PPAP).

• Maintained up-to-date documentation, ensuring efficient knowledge transfer among team members and stakeholders
• Delivered presentations on technical topics at internal meetings and external conferences, showcasing organizational expertise within the industry.
• Designed scalable database structures to support growing application requirements effectively.
• Developed user-friendly interfaces for increased customer satisfaction by implementing feedback from usability tests.

• Research on Process optimization by analysis of manufacturing data using machine learning algorithm and heuristic optimization. (IIOT Industry 4.0 project, [The aim of the thesis was to examine if and how the application of modern data-driven methods to improve the operational manufacturing processes,] - Research Project
• Completed University-level Coursework: [1) Model-based Engineering
  2) Vehicle Dynamics
  3) New Product development
  4) Automotive Quality Management
  5) Automotive Drive Train Control Systems
  6.Functional safety (ISO 26262)
  7.Mechatronic system development and validation], [Fachhochschule Oberösterreich ]

• Dean's List, [6th, 2013]
• Completed Coursework:

1) Automobile Engineering
2) Mechatronics
3) Electrical and Electronics Engineering
4)Thermal Engineering
5)Dynamics and statics