KEVIN
CEPRIA
Computer Engineer
ABOUT
Computer Engineering fresh graduate from DLSU Manila. Interested and passionate about web development and wish to work in the said field (either front-end or back-end). Although web development is my go to goal, I am also open to other fields such as Java programming . I am Currently enrolled in Udemy courses and study them at my free time. I also do small projects to apply and integrate what I learn from those courses.
CONTACT
- Tambo, Paranaque city
- (+63)9355513413
- kevin.cepria@gmail.com
EDUCATION
- ST. ANDREW'S SCHOOL PARANAQUE
- HIGHSCHOOL DIPLOMA
- 2008-2012
- DE LA SALLE UNIVERSITY MANILA
- BS COMPUTER ENGINEER
- 2012-2018
EXPERIENCE
R&D TRAINEE
NOKIA TECHNOLOGY CENTER PH | MAY 2017-AUGUST 2017
Responsible for Key Performance Indicator (KPI) value integrity and testing
Helped improve the UI, UX, and logic of displaying KPI data in the websites dashboard via JavaScript
Managed and updated database of programs and business lines as requested by program managers and team members (mentors)
Added features and functions to the existing server codes by utilizing programming languages such as Python and PERL
CO-CURRICULAR ACTIVITES
YOUTH HACK MANILA STARTUP CHALLENGE
May 2016
Prepared and presented startup ideas in which business can be built upon. The competition promotes students to design and build programs and hardware prototypes that can benefit society.
DE LA SALLE UNIVERSITY – ECO CAR TEAM (DLSU – ECT)
May 2016-July 2016
Involved in preparing and developing miscellaneous components and sub- circuits of the car system for the Driver’s World Championship.
1st RUNNER UP, 5th DLSU INNOVATION AND TECHNOLOGY FAIR
May 2016-July 2016
Worked with thesis mates to present and submit a research paper about automatic mango classification
RESEARCH PAPERS PREPARED
VISION-BASED MACHINE-MEDIATED MANGO SORTING SYSTEM USING OPENCV AND CONVOLUTIONAL NETWORL WITH TENSORFLOW
Nov 2017
Automation of mango sorting in identifying good quality mangoes using computer vision transfer learning with tensor flow library implemented in a processing unit and HD camera
SINGLE SHOT MULTI-BOX DETECTOR WITH MULTI TASK CONVOLUTIONAL NEURAL NETWORK FOR CARABAO MANGO DETECTION AND CLASSIFICATION USING TENSOR FLOW
Dec 2017
Automation of mango sorting in identifying good quality mangoes using computer vision transfer learning with tensor flow library implemented in a processing unit and HD camera
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REFERENCES
ALGER BABINA
R&D SPECIALIST
NOKIA TECHNOLOGY CENTER PH
QUEZON CITY
alger.babina@nokia.com
09989660249
HARVEY ESTRERA
PROJECT HEAD
NOKIA TECHNOLOGY CENTER PH
QUEZON CITY
lionel.estrera@nokia.com
09989660389
DR. MELVIN CABATUAN
ASSISTANT PROFESSOR
DLSU MANILA
melvin.cabatuan@dlsu.edu.ph
09995226213