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
• 💼 LinkedIn