Informatics

Indonesia

Activities and societies: RobotikaActivities and societies: Robotika
- Leadership and Organizational Involvement: Involved in various organizations on and off campus, contributing to various committee events and leadership roles.
- Competitions and Programs: Represented the university in national competitions and programs organized by Kemendikbudristek, including the prestigious PIMNAS.
- Assisting Vice Chancellor MS Hendriyawan Achmad, PhD in research on detecting criminal acts of klitih in Jogja based on the Internet of Things (IoT) using Raspberry Pi 5 AI Kit, YOLOv8, image storage using AWS S3, and designed for web integration using Next.js.

Lead Full stack AI/ML Engineer (Founder)

– Led the end-to-end development of MindCura, an AI-powered mental health assistant integrating multimodal AI models (CNN, LSTM, LLM) for emotion recognition, and personalized mental health recommendations.
– Successfully secured national-level funding from Kemendikbudristek and advanced the project to the prestigious PIMNAS competition.
– Build a scalable ML network using TensorFlow and PyTorch for facial and voice emotion models, then implementing OpenAI GPT-4o API Fine-tuning with therapist conversation data for LLM integrated in Flask API.
– Developing interactive web (Next.js) and mobile applications (Kotlin), with Firebase, MongoDB and AWS S3 database integration, and integrating 3D Avatars using Three.js with added lipsync to provide a cross-platform user experience.
– Implemented a Core Belief Engine (CBE) enhanced with Manifold Learning to map and analyze user belief systems over time.

AI Automation

– Develop and maintain modular, scalable, and reusable automation workflows using n8n, enabling seamless task orchestration across platforms.
– Integrate APIs with services such as OpenAI, Notion, Google Sheets, WhatsApp, and internal systems to automate data flows and enhance operational efficiency.
– Design logical and efficient workflows tailored to team-specific needs, ensuring clarity, reliability, and measurable impact.
– Troubleshoot and optimize suboptimal workflows to restore performance and prevent future bottlenecks.
– Document automation processes for cross-functional use, enabling transparency and scalability across teams.
– Explore and implement AI-powered automation strategies that drive innovation and reduce manual overhead.
– Engineer a robust FastAPI-based backend to capture and process real-time signals from a parenting app including notifications, payment events, and user behavior patterns ensuring responsive and intelligent system behavior.
– Implement Shopee API integration to retrieve and manage comprehensive store data, enabling centralized visibility and analytics.
– Architect a unified AI-driven system by connecting n8n workflows with backend infrastructure, creating a cohesive automation layer that bridges frontend triggers with backend intelligence.
– Develop a context-aware chatbot feature for a parenting app using Retrieval-Augmented Generation (RAG), with Qdrant as the vector database to store and retrieve relevant journal entries and parenting resources.
– Optimize chatbot performance by implementing Redis-based caching, significantly reducing latency for repeated and temporary queries.

AI Engineer

– Developed a computer vision-based student attendance system to automate and enhance the efficiency of attendance monitoring processes, Designed and deployed an emotion recognition system leveraging Mediapipe to measure, analyze, and optimize student engagement during learning activities.
– Building interactive AI humanoids with Three.js 3D Avatars equipped with STT, TTS, and Lipsync functionality to enable natural human AI using FastAPI, and Next.js, integrated with Mongodb storage.
– Architected and implemented a multi-agent AI system using RASA (Python), seamlessly integrating the Gemini API as the core LLM to facilitate complex, multi-turn conversation flows.
– Built a multi-agent AI framework utilizing the CrewAI Python library combined with Retrieval-Augmented Generation (RAG) methodologies to enable dynamic agent collaboration, document analysis, and context-aware responses.

Python Developer

– Dify AI Backend Development Support: Contribute to the development of chatbot API services using the Flask framework, as well as Next.js and Node.js, aiming to create interactive and responsive user experiences.
– System Planning and Maintenance: Participated in planning, system maintenance, and feature development sessions to meet project goals and ensure cohesive system design.
– Dify AI Bug Fixes and Feature Implementation: Identify and resolve bugs when implementing new functionality into existing systems to improve overall performance.
– Data Model Structure Design for Dify AI: Plan and implement data model structures to support enterprise system scalability and efficiency.
– Secure Code Design for Enterprise Applications: Develop secure enterprise-level applications in Python, JavaScript, and Node.js, following best practices and security standards.
– Troubleshooting and Bug Resolution: Manage system troubleshooting and bug resolution, ensuring smooth operations.

National Student Scientific Week (PIMNAS)

Machine Learning Cohort