Naufal Rahfi Anugerah
AI Software Engineer
About | Rahfi.
I am an AI Software Engineer and recent Computer Science graduate, majoring in Information Systems from Mercu Buana University who loves bridging the gap between complex tech and real business value. My expertise lies at the intersection of AI and Cloud Computing, where I focus on taking from experimental AI models and turning them into production-ready systems. As a generalist with a product-first mindset, I care deeply about code quality and scalable architecture, and I am eager to apply my skills in AI and Cloud to collaborate on meaningful, high-impact projects
Rahfi's | Experiences.
PT Arsa Muda Nawasena
AI Software Engineer
- Streamlined operations by engineering a centralized full-stack platform to replace manual property tracking.
- Eliminated response delays by deploying an NLP-powered chatbot to handle customer inquiries 24/7.
- Modernized data management by designing robust backend architecture and RESTful APIs for internal tools.
Co-Founder
- Establish and build the property agency (PT), including legal setup and early business operations for real estate agency.
- Define and oversee the company’s strategic direction in information technology and digital transformation.
- Lead the development and implementation of technology solutions to enhance operational efficiency and customer experience.
Asah led by Dicoding in association with Accenture
Machine Learning Cohort
- Advanced project development standards by transitioning from manual Python scripting to an automated MLOps workflow for experiment tracking.
- Secured a top-tier scholarship (1 of 2,000) by demonstrating strong commitment to AI innovation during screening.
- Designed a predictive maintenance system capable of reducing inspection times by 20% through voice-activated reporting
Dicoding Indonesia
External Academy Code Reviewer
- Achieved a 4.9/5 rating from 200+ students by providing detailed feedback on code logic and industry standards.
- Safeguarded educational quality by evaluating complex Data Science, ML, DL, GenAI and Cloud projects against strict curriculum rubrics.
- Accelerated learner proficiency by rigorously auditing project logic and documentation for deployment readiness.
Machine Learning Student
- Studied and implemented key machine learning fundamentals, including supervised, unsupervised learning and deep learning expertise through practical application of neural networks, CNN, RNN, and LSTM.
- Built and deployed multiple end-to-end projects in domains such as Time series forecasting, Image classification, Text classification and Natural Language Processing (NLP), Regression analysis, Clustering and pattern recognition, Predictive modeling and business intelligence.
- Gained hands-on experience with model deployment, monitoring, and ML pipeline automation.
Samsung Innovation Campus Batch 6
AI & IoT Development Trainee
- Evaluated and selected ESP32 microcontrollers to achieve high-precision sensor data accuracy, by programming low-level interfaces for a localized humidity-monitoring system.
- Engineered a functional IoT sensor kit prototype with 100% data reliability during testing, by integrating DHT-series sensors with a custom Ubidots dashboard interface.
- Validated the Prototyping and Connectivity phases of a user-centric humidity checker, by applying Design Thinking principles to map hardware requirements to specific user environmental needs.
Bangkit Academy 2024 Batch 2 - Bangkit led by Google, Goto and Traveloka
Cloud Computing Cohort
- Attained 'Distinction' (Top 10% of cohort) by mastering the lifecycle of scalable cloud infrastructure on Google Cloud Platform (GCP).
- Engineered functional mobile ecosystems by integrating front-end interfaces with robust RESTful APIs, ensuring seamless data flow.
- Operationalized ML models for production by designing high-availability GCP cloud architectures capable of auto-scaling.
Computer Laboratory Assistant Faculty of Computer Science, Mercu Buana University
Back-End Research and Development Associate
- Accelerated skill acquisition for 5+ laboratory assistant by orchestrating end-to-end curriculum design for the Back-End learning path.
- Resolved complex technical challenges by directing regular one-on-one and group mentoring sessions, resulting in a 20% increase in project completion rates.
- Promoted practical engineering principles by streamlining project coordination, reducing setup time for laboratory members by 20%.
Sr. Computer Laboratory Assistant
- Guaranteed 100% operational uptime during classes by proactively resolving 20+ critical software and hardware issues weekly.
- Enforced high performance standards by mentoring 5+ new laboratory assistants on protocols, reducing onboarding time by 50%.
- Optimized lab efficiency by implementing collaborative best practices, resulting in a zero-downtime record for the semester.
Jr. Computer Laboratory Assistant
- Administered hardware readiness by executing regular software updates, backups, and preventive maintenance for 30+ workstations.
- Coordinated seamless academic delivery by configuring technical environments for lecturers pre-session, resulting in zero delays for practical exams.
- Minimized downtime during practical classes by resolving hardware and software malfunctions in real-time.
Google Developer Student Club, Mercu Buana University
GDSC Member
- Expanded technical proficiency in Google Developer technologies including Firebase and Google Cloud by completing multiple hands-on workshops, bridging the gap between theoretical coursework and practical implementation.
- Accelerated project development cycles by collaborating with a multidisciplinary team of student developers to share best practices and troubleshoot complex code during community build sessions.
- Increased personal professional network by 10+ within the local tech ecosystem by actively organizing and participating in networking events to foster cross-functional collaboration.
Digital Talent Scholarship
AWS Engineer Trainee
- Successfully achieved the AWS Certified Cloud Practitioner (CLF-C02) certification, validating foundational knowledge of cloud fluency and AWS security/compliance by scoring 733 on the international proctored exam.
- Optimized cloud infrastructure scalability and cost-efficiency for simulated enterprise workloads, by designing AWS architectures including: EC2, S3, and RDS in alignment with the AWS Well-Architected Framework.
- Reduced potential system downtime in architecture simulations by implementing AWS best practices for high availability and fault tolerance across multiple Availability Zones (AZs).
Rahfi's | Education.
Mercu Buana University
Bachelor's Degree of Computer Science
- GPA: 3.88/4.00
- Study Range: 2022 - 2026 (3.5/4 Years)
- Completed the full undergraduate curriculum in an accelerated 3.5-year timeline, demonstrating exceptional academic discipline and time management, majoring in information systems.
- Authored the thesis "Optimizing Stroke Risk Prediction Using Artificial Neural Network with Selected Feature Based on Binary Particle Swarm Optimization"
Asah led by Dicoding in association with Accenture
Non-Degree Program in Machine Learning - Machine Learning Cohort
- Awarded "Best Capstone Project" (96/100) by leading the development of AEGIS, an AI-powered maintenance copilot by integrating NLP and Voice-Command features.
- Selected as 1 of 2,000 scholars by demonstrating high potential in the end-to-end Machine Learning lifecycle.
Bangkit Academy 2024 Batch 2 - Bangkit led by Google, Goto and Traveloka
Non-Degree Program in Cloud Computing - Cloud Computing Cohort
- Secured a position in this elite career accelerator, selected from a competitive pool of over 45,000 registrants.
- Graduated with Distinction (Top 10% of cohort) in the Cloud Computing learning path, mastering the deployment and security of scalable infrastructure on Google Cloud Platform (GCP).
Rahfi's | Achievements.
I have participated in various events, where I have honed my skills and achieved significant milestones. Here are some of my notable results.
Best Capstone Project - Asah led by Dicoding in association with Accenture
Jakarta, Indonesia
Issued by Asah led by Dicoding in association with Accenture
Awarded 'Best Capstone Project' by leading the development of AEGIS, an AI-powered maintenance copilot that leverages machine learning and Agentic AI to predict equipment failures and optimize maintenance schedules, significantly reducing downtime and operational costs for industrial clients.HKI (Hak Kekayaan Intelektual) - Patents - inTrain.ai: Mobile AI-Powered Application for Interview Preparation and Upskilling
Jakarta, Indonesia
Issued by Direktorat Jenderal Kekayaan Intelektual, Kementerian Hukum dan Hak Asasi Manusia Republik Indonesia
inTrain.ai is an AI-powered mobile application designed as a comprehensive solution for professional career planning and development. The platform integrates Large Language Model (LLM) technology to provide an AI HR Chatbot (Voice talk AI interview in newer version!), allowing users to engage in interactive mock interview simulations across various difficulty levels and job scenarios to receive real-time feedback and evaluation. Beyond interview practice, inTrain.ai facilitates holistic job preparation through a CV Analyzer for ATS-standard document optimization, personalized Job Roadmaps, and a curated course catalog for upskilling, as well as a Mentorship Matchmaking feature that connects users directly with industry practitioners. (Coming soon and stay tuned as full production grade apps!)Amartha Hackathon x GDG Jakarta - Finalist
Jakarta, Indonesia
Issued by Amartha, Google Developer Group (GDG) Jakarta
Recognized as a finalist or Top 15 teams in the Amartha Hackathon x GDG Jakarta for developing an innovative solution that leverages technology to address real-world challenges in the financial sector.GEMASTIK XVIII (Pagelaran Mahasiswa Nasional Bidang Teknologi Informasi dan Komunikasi) 2025 Data Mining - Finalist
Jakarta, Indonesia
Issued by Direktorat Pembelajaran dan Kemahasiswaan (Dit. Belmawa), Direktorat Jenderal Pendidikan Tinggi (Ditjen Dikti), Kementerian Pendidikan Tinggi, Sains, dan Teknologi (Kemendiktisaintek)
Recognized as a national finalist in the Data Mining category for delivering a high-leverage analytical solution that showcased robust modeling strategy, scalable data engineering, and actionable insights.Gold Medalist - National Innovation Exhibition (Pekan Inovasi Nasional) 2025
Jakarta, Indonesia
Issued by INNOPA, Mercu Buana University
Awarded the Gold Medal at the 2025 National Innovation Exhibition (Pekan Inovasi Nasional) for excellence in product innovation, recognizing outstanding creativity and technical achievement.Cloud Computing Distinction Graduate 2024 Batch 2 - Bangkit Academy led by Google, Goto and Traveloka
Jakarta, Indonesia
Issued by Bangkit led by Google, Goto, and Traveloka
Graduated with Distinction by ranking in the top 10% of participants across every learning-path cohort, demonstrating exceptional academic performance and dedication.4th Place Best Chatbot & Top 10 Finalist - Indonesia Chatbot Championship Challenge (IC3) 2024, Theme: Generative AI
Jakarta, Indonesia
Issued by ai4impact, TerraAI, MobileFaculty
Successfully achieved 4th place out of 150+ participants in the Indonesian Chatbot Championship Challenge (IC3) 2024, focusing on Generative AI. Developed an innovative chatbot leveraging Smojo.AI and OpenAI API to simplify and enhance coding education. The chatbot empowers users to learn programming effortlessly through interactive and concise guidance, bridging the gap in educational accessibility.
Let's Connect.
Want to chat? Just shoot me a dm with a direct question on LinkedIn and I'll respond whenever I can. I am always eager to collaborate on innovative projects and engage in meaningful discussions.






