𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭• Tech stack: NestJS, PostgresQL, Docker, AWS- S3, SQS• Assistant Lead• Ensured integration of services• Optimized database query down to milliseconds • Designed backend service architecture

𝐅𝐮𝐥𝐥𝐬𝐭𝐚𝐜𝐤 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭• Tech stack: Django, Vue, PostgresQL, Docker• Human Resource Management System project• Applied multi-tenancy with PostgresQL• Designed and implemented features with information gathered from the client• Collaborated with UI/UX designer for the frontend• Enhanced feature based on feedback from the client within considerable quick time• Refactored function for reusability and maintainability• Deployed the system in AWS EC2 with docker swarm for High Availability• Designed and implemented a scheduled notification system -• Utilized cronjob for scheduling the job -• send notification to involved party based on the nature of the notification ( anniversary, birthday, leave, etc... ) -• Containerized with docker for ease of deployment and consistency across multiple environment ( test, production )𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭• Tech stack: Go, Mongo, ArgoCD• E-commerce website• Practiced microservice architecture, high and ease of scalability• Practiced AGILE methodology• Designed and implemented API within the application• Practiced unit testing to ensure the integrity of the API and allow ease of modification• Deployed with Jenkins𝐂𝐨𝐧𝐭𝐢𝐧𝐮𝐨𝐮𝐬 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 / 𝐂𝐨𝐧𝐭𝐢𝐧𝐮𝐨𝐮𝐬 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭• Allowed consistent deployment for various environment ( test, staging, production )• Ease of deployment

𝐅𝐮𝐥𝐥𝐬𝐭𝐚𝐜𝐤 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭• Tech Stack: PHP (CodeIgniter), Javascript• Implemented frontend for presenting the camera feed and data gathered onscreen• Implemented backend of the system to integrate with the data from FR and the web/IP camera• Processed the data gathered from FR through Redis• Product shown in a science exhibition centerProject: AI Advertising, Entrance Tracking𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭• On-site deployment• Ensured smooth deployment • Synchronized application version from GitBucket𝐂𝐚𝐦𝐞𝐫𝐚 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 ( 𝐈𝐏 / 𝐖𝐞𝐛 )• Integrated camera feed to the server application• Applied FR technology onto the camera feed𝐅𝐚𝐜𝐢𝐚𝐥 𝐑𝐞𝐜𝐨𝐠𝐧𝐢𝐭𝐢𝐨𝐧 𝐃𝐚𝐭𝐚 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧• Integrated data from the FR application into the web application system• Utilized the data from FR to acquire expected advertisement output based on the demographic in front of the camera

𝐄𝐥𝐞𝐜𝐭𝐫𝐢𝐜𝐚𝐥 𝐃𝐫𝐚𝐰𝐢𝐧𝐠• Provided an overall picture of the entire system• Provided a documentation for the personnel that would be troubleshooting the system𝐒𝐮𝐩𝐞𝐫𝐯𝐢𝐬𝐨𝐫• Supervised technicians on the work needed to be done when on-site𝐇𝐚𝐧𝐝𝐬-𝐨𝐧• Worked hands-on to gain experience and better understanding on the work needed to be done in order to be able to supervise the technicians more effectively𝐂𝐨𝐦𝐦𝐢𝐬𝐬𝐢𝐨𝐧𝐢𝐧𝐠• Ensured proper procedure was follow for smooth and safe commissioning