Clinton Prathama

​Dear Koch HR 

After my graduation from NTU with Bachelor Degree in Materials Engineering (Honours Distinction) in year 2019, I started my first career in engineering path as Photolithography Process Engineer at GlobalFoundries. As of May 2022, I decided to take a break from my first career with the intention to start a second career in non-engineering expertise. I am glad to come across this job opportunity as Associate Product Manager. With my 2.5 years' experience in process engineer, as well as recently received certificate for Product Management from SMU, I believe I have the abilities, insights, and professionalism necessary for this opportunity. 

Following are skills/attitudes gained from my last position at GlobalFoundries 

• To closely follow up and close all issues and projects 
• Be analytical and data driven in handling problems 
• Do what you say and say what you do 
• Adept at quickly learn various tools (analytical and visualization) 

 I am applying for Associate Product Manager as I’ve set my goal to become a Product Manager at Tech/e-Commerce/Banking Industry. Therefore, I’m so excited with this opportunity. 

 I would really love to hear response from Koch HR, please feel free to contact me through my email and phone number. 

 Thank you for taking the time to review my CV. I look forward to talking with you. 

Sincerely, 

 Clinton Prathama 

GLOBALFOUNDRIES

F7 300mm Photolithography Process Engineer

- New resist nth tools qualification
- STI layer path qualification
- Best of Both World (BoBW) project litho representative 
- STI layer owner & tools backup owner (4 immersion & 1 ArF)

GIGA 200mm Photolithography Process Engineer

- MIMO tool PCRB and tool warm shutdown qualification PCRB
- Layer owner for F2 pre-poly as well as tool owner for 8 tools (2 steppers & 6 scanners)
- GIGA Accelerated Hubble program

Nanyang Technological University

Bachelor of Engineering; (Materials Engineering) 
Second Class Upper Honors: CGPA: 4.12/5.00 
Undergraduate Research on Campus (URECA) a research program for only selected few in a cohort