Akshita Jain

Clients : Bayer AG, Lanxess

• Managed multiple research projects with funding exceeding 300K euros, ensuring timely delivery of project milestones through effective communication with stakeholders and team members.

• Secured project funding by coordinating efforts with clients and team members, enhancing project viability.

• Led the recruitment and training of new research interns, fostering a skilled team to support project objectives.

• Conducted comprehensive tests and analyses for new technologies, identifying potential issues and implementing solutions to mitigate risks.

• Successfully implemented, and managed the pilot setup (Digital Showcase Lab) to test and evaluate new industrial technologies like Ethernet APL (Advance physical layer), MTP (Modular Type Packages), and NOA (Namur open architecture) with different process control systems.

• Led the Commissioning of a modular plant for the leather industry (TFL group) in Glasgow, Scotland, enhancing operational research capabilities

• Directed the development and prototyping of an AI-driven solution to detect packaging damage in pharmaceutical production, enhancing quality control.

• Conceived and executed a comprehensive training program for young talent, enhancing their understanding of process control technology through the BayLab experiment.

• Developed comprehensive reports on energy efficiency findings, presenting actionable insights to stakeholders for informed decision-making.

• Developed and executed an innovative unknown input estimator and model based optimal control system for an artificial pancreas, significantly improving diabetic management efficiency for individual patient profile.

• Conducted rigorous testing and validation of the implemented model using an FDA-approved simulator, ensuring compliance and reliability in real- world applications.

• Led the implementation and commissioning of instrumentation and process control systems for Crude Distillation Unit, ensuring compliance with project specifications and safety standards for refinery capacity enhancement project (RCEP).

• Saved substantial capital by design analysis, identifying and utilising the existing available resources for process control and instrumentation for refinery capacity enhancement project.

• Coordinated cross-functional teams and led the documentation and reporting of FAT and SAT results for Process Control Systems, providing stakeholders with clear insights and actionable recommendations for system improvements, and achieving project milestones efficiently.

• Managed a cross-functional team to seamlessly upgrade and integrate DCS and PLC systems across all refinery plants, ensuring real-time data flow to a centralised database, which improved operational efficiency and decision making.

• Conducted comprehensive detailed design analysis for PID (Piping and Instrumentation Diagram), control loops, and safety logics; driving enhancements in process control efficiency for RCEP project. Spearheaded the critical data gathering initiative for advanced process control in the CDU plant, resulting in a increase in process efficiency and substantial capital gain.