I am an Informatics Engineering student at Brawijaya University (GPA 3.74) and a member of the Intelligent Systems Research Group. My passion lies at the intersection of deep learning research and practical software engineering. I specialize in building end-to-end AI solutions—from training deep learning models to deploying scalable MLOps pipelines.
Languages 
Machine Learning & AI 
MLOps & Cloud 
Web & Deployment 
3rd Place Winner @ ElevAIte Indonesia Hackathon
- Problem: Chronic kidney disease patients struggle to identify safe foods from ingredient labels.
- Solution: Mobile AI app using Azure OCR + RAG-based LLM to analyze food labels and generate personalized nutrition recommendations.
- Stack: Azure OCR, Azure AI Search, Azure Blob, RAG, LLM.
Production-Grade MLOps System
- Problem: Cities need accurate air quality predictions to protect public health.
- Solution: LSTM-based time-series model forecasting PM2.5 up to 14 days ahead, with end-to-end MLOps on GCP.
- Stack: LSTM, MLOps, GCP, FastAPI, Docker.
Client-Side Vision AI
- Problem: Drowsy driving causes thousands of accidents, but existing solutions need expensive hardware.
- Solution: Client-side detection using MediaPipe Face Mesh in Next.js — runs entirely in browser at ~10 FPS.
- Stack: MediaPipe, Next.js, Tailwind, Zustand.
Full Stack AI Application
- Problem: Job seekers need quick, actionable feedback on their resumes.
- Solution: Full-stack web app that parses PDFs and generates structured LLM-powered feedback.
- Stack: React, FastAPI, LLM, PyMuPDF.
Time Series Analysis
- Problem: Rice price fluctuations affect food security and economic planning.
- Solution: LSTM-based model predicting prices using daily weather data (temp, humidity, rainfall). Achieved RMSE ~1200.
- Stack: LSTM, Time Series, Regression, Python.
ML Research
- Problem: Students experience stress during exams, impacting mental health and performance.
- Solution: Classifying stress levels via skin conductivity data using K-means (0.901 Silhouette Score) and DBSCAN.
- Stack: K-means, DBSCAN, Clustering, Python.
🤖 AI Engineer Junior @ Smart ID (July 2025 - Present)
- Designing AI workflows using n8n and LLMs for automated employee profiling and career path suggestions.
- Built a RAG-based chatbot assisting users with app navigation and course inquiries.
🦷 AI Engineer Intern @ PT. Sekawan Media Informatika (May 2025 - Sept 2025)
- Developed a YOLO-based vision model for self-screening dental diseases (caries, gingivitis).
- Built "Ogi," an instruction-tuned LLM chatbot for dental health consultation.
🎓 Practicum Assistant (Advanced AI) (Feb 2025 - June 2025)
- Mentored 38 students in Python, Data Preprocessing, and Machine Learning implementation.
- 📍 Malang, Indonesia
- 📧 nisma.aro@gmail.com