Hey, I'm
Nisma Fadillah
AI Engineer · Researcher · Builder
I work on applied AI, data analysis, and system development, with experience across research projects and production systems.
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Projects
Real problems, real solutions, shipped to real users.
Saring Gizi
Chronic kidney disease patients struggle to identify safe foods from ingredient labels.
Mobile AI app using Azure OCR + RAG-based LLM to analyze food labels and generate personalized nutrition recommendations.
3rd place winner at ElevAIte Indonesia Hackathon (100+ regional teams). Improves food literacy for CKD patients.
AIDA
Drowsy driving causes thousands of accidents. Existing solutions need expensive hardware.
Client-side drowsiness detection using MediaPipe Face Mesh in Next.js — runs entirely in browser at ~10 FPS.
Detects blink rate, yawns, and head nodding with an analytics dashboard.
AQI Forecasting
Cities need accurate air quality predictions to protect public health.
LSTM-based time-series model forecasting PM2.5 up to 14 days ahead, with end-to-end MLOps on GCP.
Real-time data ingestion, FastAPI backend, Docker CI/CD, production-deployed.
Resume Roaster
Job seekers need quick, actionable feedback on their resumes.
Full-stack web app with React + FastAPI. Parses PDFs and generates structured LLM-powered feedback.
Get honest, useful resume feedback in seconds.
Rice Price Prediction
Rice price fluctuations affect food security and economic planning.
LSTM-based time series model predicting medium and premium rice prices using daily weather data (temperature, humidity, rainfall, sunshine duration).
Achieved RMSE of ~1200 with rolling window strategy for continuous 10-day predictions.
Stress Level Classification
Students experience stress during exams, impacting mental health and performance.
Classify stress levels by analyzing skin conductivity data using K-means and DBSCAN clustering algorithms.
K-means achieved 0.901 silhouette score. Insights for developing student mental health support tools.
About Me
Informatics Engineering student at Brawijaya University (3.74 GPA). I build AI systems that ship to production and research solutions for real-world problems.
My research spans synthetic medical image generation using Diffusion Models, and low-resource NLP for Indonesian Sign Language (BISINDO).
I've shipped AI features across production apps — from dental disease detection to career recommendation systems. I'm comfortable owning features end-to-end: ML models → APIs → frontend.
Tech I work with
Experience
AI Engineer (Junior)
Jul 2025 – Dec 2025Smart ID
- Designed and implemented automated employee profiling and career path recommendation features for a performance management system
- Built a CV filtering and profiling pipeline to analyze candidate resumes for internal job openings
- Developed LLM-based workflows using n8n and vector databases to support role matching, competency gap analysis, and recommendation logic
AI Engineer Intern
May 2025 – Sep 2025Sekawan Media Informatika
- Developed YOLO-based dental disease detection for real-time screening
- Built "Ogi" chatbot for dental health education using LLMs
- Integrated AI model via API into HaloGigi mobile app
Practicum Assistant
Feb 2025 – Jun 2025FILKOM, Brawijaya University
- Taught Advanced AI and ML fundamentals to 38 students
- Guided hands-on data preprocessing and model implementation
Research Member
2024 – PresentIntelligent Systems Research Group
- Research on synthetic medical image generation (GANs, Diffusion) and low-resource NLP for Indonesian text-to-gloss translation (BISINDO)