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An Arduino-based syringe pump is a medical device that uses an Arduino microcontroller to control the movement of a syringe, typically used for precise fluid dispensing or for administering medication. The Arduino can be programmed to control the speed and volume of the fluid being dispensed, and can be integrated with sensors and other devices to provide real-time monitoring and control of the pumping process. This is the project that I am currently working on and collaborating with other three multidisciplinary individuals during my internship at Covent Indonesia.

IoT-based Smart Door Security is a door security system for opening and locking doors based on the Internet of Things (IoT) and using an RFID reader with an ESP32 microcontroller. The features offered by this system are easy, practical, and safe. This system will be implemented in departmental areas, especially the 3rd Floor DTE Building in the Electronics Laboratory room. Users can open the door using a student ID card which is read by the RFID reader. After that, the door opening data will be sent to the database using the internet via Wi-Fi.

A smart trash can integrated with a hand sanitizer that is a device controlled with an Arduino microcontroller to open or close the trash can and press the hand sanitizer automatically using an ultrasonic sensor. The servo motor is used to control the trash lid and press the hand sanitizer, while the buzzer is used as a hand sanitizer alarm. The lid of the trash can opens and closes automatically by detecting human presence at a distance of 30 cm. The servo motor will move and open the lid of the trash can. Then, the buzzer will turn on and the servo motor will press the hand sanitizer so that the hands are clean from dirt.

Potentiostats are electronic instruments used in electrochemical research to study and measure the electrochemical properties of electroactive materials. This project developed a potentiostat prototype with an affordable price (around 537,600.00 IDR) and an open-source system for cyclic voltammetry analysis. The potentiostat prototype is made using commercially available electronic components, such as ESP32 microcontrollers, op-amps, resistors, capacitors, and diodes. The potentiostat prototype has a current range from -430 µA to +410 µA and a sweep voltage range from -1.5 V to 1.5 V.

Through the AWS Solutions Architect certification, I've honed my skills in designing secure, scalable, and fault-tolerant cloud solutions based on customer requirements. This credential validates my understanding of AWS services and technologies.

The New Relic Partner Program empowers technical professionals like developers, architects, and SREs to become experts in implementing and supporting New Relic's observability platform for client organizations. This allows me to help clients gain valuable insights into their applications and infrastructure, ultimately improving their performance and digital experience.

The Google Cloud program equipped me with a comprehensive understanding of Google Cloud's core products and services. You can now articulate their capabilities and translate them into solutions that benefit organizations. This includes identifying common business use cases and strategically applying cloud technology to support enterprise needs, ultimately driving performance and efficiency.

I have completed five Google-developed courses that are part of the Google IT Support Professional Certificate program. These courses include hands-on practical assessments and are designed to prepare me for entry-level IT support positions. I have gained proficiency in essential skills, including troubleshooting and customer service, networking, operating systems, system administration, and security.

The AWS Academy Machine Learning Foundations course equipped me with the skills to build and deploy machine learning models on the AWS cloud platform. I grasped core concepts like classification and regression, alongside how to leverage AWS services for data labeling, model training, and deployment. Hands-on experience even allowed me to build a complete machine learning pipeline using Amazon SageMaker. This foundational knowledge empowers me to explore further and apply machine learning on AWS to solve real-world business problems.

The AWS Academy Cloud Architecting course equipped me with the knowledge and skills to design secure and scalable IT infrastructures on the AWS cloud platform. I learned how to choose and configure the right AWS services based on specific business needs, ensuring high availability, fault tolerance, and cost-effectiveness for my solutions. This course also covered best practices for cloud architecture design, allowing me to create robust and efficient systems that can grow alongside evolving business demands.

The AWS Academy Cloud Foundations course provided me with a solid foundation in cloud computing concepts and the core services offered by AWS. I gained insights into how AWS can be leveraged to build scalable and secure solutions, while exploring its capabilities for storage, databases, networking, and compute resources. This comprehensive introduction empowers me to navigate the AWS cloud platform and make informed decisions when building cloud-based applications.

The Cisco "Introduction to IoT" course equipped me with a foundational understanding of the Internet of Things (IoT) and its role in driving digital transformation. I explored core concepts like how IoT systems connect and utilize data, along with the impact of emerging technologies like data analytics, AI/ML, and cybersecurity on the IoT landscape. The course also highlighted the importance of Intent-Based Networking in managing and securing the ever-growing number of connected devices within an IoT environment. This knowledge positions me to delve deeper into the world of IoT and its potential to revolutionize various industries.

This certification trained me to automate network tasks and enhance security. I used Python scripts to simplify configurations and Ansible for basic automation workflows. I also configured VPNs and ACLs to protect data integrity. The labs reinforced my ability to design scalable networks, particularly for hybrid-cloud environments where flexibility and security are priorities.

Here, I focused on configuring and securing enterprise networks. I practiced setting up VLANs to segment traffic, implemented OSPF for dynamic routing, and deployed wireless networks with WPA3 encryption. The 20+ hours of lab work taught me to diagnose issues like broadcast storms or routing loops, ensuring networks remain efficient and secure for business-critical applications.

This course provided me with a solid grasp of network fundamentals, including IP addressing, Ethernet concepts, and device configuration. Through 54+ labs in Cisco Packet Tracer, I learned to set up switches and routers for basic connectivity, troubleshoot common network errors, and ensure secure access to resources—skills I apply daily in maintaining reliable network operations.

I learned to manage Nutanix AOS 6.xx clusters, from initial deployment to routine maintenance. This includes monitoring resource usage via Prism Central, troubleshooting storage issues, and setting up redundancy for high availability. My training ensures I can support hyperconverged infrastructure (HCI) deployments that simplify IT operations while meeting performance benchmarks.

By completing this exam, I gained proficiency in using New Relic to monitor application performance and user experience. I can configure dashboards to track critical metrics, set up alerts for anomalies, and analyze data to pinpoint bottlenecks—enabling teams to prioritize fixes that directly impact system reliability and customer satisfaction.

Through Nutanix Sizer, I architect cost-effective infrastructure solutions tailored to organizational needs. By analyzing workload requirements and balancing performance with budget constraints, I eliminate overprovisioning risks by 30% and design scalable HCI environments. My approach ensures businesses avoid vendor lock-in while maximizing ROI, whether deploying on-premises, in the cloud, or through hybrid models.

This certification deepened my expertise in deploying and managing Nutanix AOS 6.x across multicloud environments. I'm equipped to handle workload migrations between private and public clouds, optimize resource allocation for cost-efficiency, and troubleshoot common hyperconverged infrastructure (HCI) issues. My hands-on experience with Prism Central allows me to simplify day-to-day operations while maintaining compliance with enterprise security standards.

As an accredited professional, I've gained a strong technical understanding of Nutanix Cloud Infrastructure (NCI) components, from storage layers to AHV virtualization. I can confidently demo core features like one-click scalability and disaster recovery workflows, and align these capabilities with business needs—such as reducing infrastructure complexity or modernizing legacy data centers.

This certification taught me practical cybersecurity practices for end-users, such as creating strong passwords, detecting phishing attempts, and securing sensitive data. I apply these principles daily to minimize risks and promote a security-aware culture within teams.

This certification trained me to articulate Nutanix's value proposition to decision-makers. I can identify pain points in legacy infrastructure (e.g., high maintenance costs, siloed systems) and position Nutanix solutions as a path to operational simplicity. My focus is on bridging the gap between technical advantages and tangible business outcomes, like faster time-to-market or reduced TCO.

I understand how Nutanix HCI addresses modern IT challenges, from hybrid cloud flexibility to eliminating vendor lock-in. This accreditation allows me to guide initial discussions with prospects, ask discovery questions to uncover infrastructure inefficiencies, and explain licensing models in a way that resonates with both technical and non-technical stakeholders.

With New Relic expertise, I deliver end-to-end observability for modern architectures, from Kubernetes clusters to serverless systems. By identifying performance bottlenecks and predicting outages through AI-driven analytics, I help organizations cut cloud costs by 25% while enhancing user experience. My insights bridge the gap between technical metrics and strategic business outcomes.