Profile Image

Gautham Ravi Srinivas

Senior Process Engineer

Work Experiences

  • Senior Process Engineer – IV, Micron Technology, Singapore
    November 2023 – Present
    • Collaborated with factory automation to work on an automated WIP storage solution thereby saving space by 3082 sqft and adding excess capacity by 25%.
    • Strategized and developed automated logic by collaborating with IT and Manufacturing teams in Manufacturing Execution Systems (MES) to eliminate manual human validation process. Improved the Man to Machine ratio from 2.0 to 2.19 and high volume manufacturing capacity by 20%.
    • Achieved 12 productive hours saving per workweek by reducing sample size of a Critical to Quality (CTQ) parameter by employing reliability statistics.
    • Led effective problem solving sessions with critical material suppliers. Drove sustainable data driven solutions to implement detection control using ‘Shift Left’ approach. Achieved a cost avoidance of US$54288 per month.
    • Supported a business critical new factory setup by strong collaboration with IT and execution teams to ensure manufacturing execution system readiness.
  • Senior Process Engineer – III, Micron Technology, Singapore
    November 2020 – November 2023
    • Supported customer audits by preparing and presenting quality management documents (FMEA/QCP, SPC and MSA) successfully with ‘0’ non-conformances.
    • Leading a team of 6 technical specialists responsible for supporting post electrical process back end operations in Singapore.
    • Fostered a collaborative and inclusive team ambiance by encouraging growth mindset. Achieved a strong engagement score of 100% with the team.
    • Collaborated with business network team’s to implement changeson product carrier indirect material to achieve $500,000 per year savings.
    • Implemented an innovative sensor solution on a critical make manufacturing process for yield wins up to – $1,000,000 per year.
    • Executed on-time and one-time change on pack/shipping requirements to adhere to government environment policy thereby enabling business for memory component customers in South Korea.
  • Process Engineer – II, Micron Technology, Singapore
    June 2017 – November 2020
    • Supported IATF16949 re certification audits at post electrical engineering thereby enabling automotive business.
    • Defined, developed and deployed online Tableau dashboard visualizing operations analytics by employing data automation techniques . Improved labor productivity index by ~1%.
    • Facilitated successful qualification of second source suppliers on indirect materials for memory components to support business continuity.
    • Implemented predictive maintenance for critical spare part on Laser marking process for memory components thereby saving ~US$200,000 per annum across backend manufacturing network.
    • Implemented Long Term Study for all measurement tools at post-electrical operations. Detected any drift in tool’s performance with an accuracy of 3%.
    • Designed Value Stream Mapping (VSM) and provided statistical results to optimise the cycle time for a NPI product family at Test operations
  • Process Engineer – I, Micron Technology, Singapore
    December 2015- June 2017
    • Achieved a process capability of >1.67 and 1-2% Out of Control points per workweek by implementing relevant Continuous Improvement Projects for Post-Electrical processes.
    • Spearheaded Measurement System Analysis activities and 100% effectiveness and efficiency.
    • Improved cycle time by 0.117 days for products catering for Mobile Business Unit and Compute and Networking Business Unit by qualifying necessary indirect material.
    • Performed user acceptance test and enabled an online statistical process control tool (SPACE) for data logging and process monitoring for high volume manufacturing.
  • Associate Engineer, Innogrity Pte Ltd, Singapore
    October 2014 — November 2015
    • Designed and fabricated precision fixtures for repair and manufacture of aerospace turbine blades by change management technique (ECM) thereby reducing the number of rejects per shift from 15% to 5%.
    • Analysis and optimization of timing charts for automated packing process thereby improving UPH (Units Per Hour) by 10% from baseline by bringing in the necessary design improvements.
    • Implemented mechanical design changes to minimize the Machine downtime to 12% per shift.