Muhammad Habib Nur Aiman

Muhammad HabibNur Aiman

AI Engineer
Surabaya, Jawa Timur

Hi! I'm a Data Science student at Surabaya State University focusing on Artificial Intelligence and Computer Vision. I'm most enthusiastic about integrating Machine Learning models into ready-to-use interactive web applications. I'm currently honing my skills as an AI Engineer Cohort at Pijak and actively building the AI/ML ecosystem on campus through the SaDaCom community. Some of my most memorable experiences so far are being a Data Mining Finalist at GEMASTIK XVIII and serving as a Google Student Ambassador. When it comes to my tech stack, I'm used to developing solutions using Python, TensorFlow, and React.js.

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Featured Projects

Explore my portfolio of AI, Machine Learning, and Web Application projects.

Prediksi Harga Bitcoin: Multivariate Multi-step Time Series Forecasting (Seq2Seq)
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Prediksi Harga Bitcoin: Multivariate Multi-step Time Series Forecasting (Seq2Seq)
Forecasting (Tabular)
Jun 2026 - Jun 2026
Pengembangan model Deep Learning tingkat lanjut dengan kustomisasi arsitektur Seq2Seq (Autoregressive) menggunakan TensorFlow untuk memprediksi harga Bitcoin (USD) 24 jam ke depan. Proyek ini berhasil meraih nilai sempurna (Bintang 5) di kelas Mahir Dicoding.
Python
TensorFlow
Keras
Pandas
FLOOD SEGMENTATION
TEAM
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FLOOD SEGMENTATION
Segmentasi Citra
Mei 2026 - Mei 2026
Sistem pemetaan daerah banjir berbasis citra aerial (drone) menggunakan arsitektur deep learning SegFormer-B3, dioptimalkan dengan formulasi Triple Loss (CE + Lovasz/Dice + Focal) dan 4x Test-Time Augmentation (TTA), berhasil mencapai skor Best Validation mIoU 0.3683 pada kompetisi Nexus DolananData 2026.
Python
PyTorch
HuggingFace Transformers (SegFormer)
ABSA Ulasan Aplikasi
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ABSA Ulasan Aplikasi
Analisis Sentiment
Mei 2026 - Mei 2026
100k+ data | 6 aspect label | 3 sentiment.
SIPANGAN
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SIPANGAN
Experimental Projects
Mei 2026 - Mei 2026
SIPANGAN (Sistem Informasi Ketahanan Pangan Nasional) adalah dasbor analitik berbasis AI dan geospasial untuk memantau, menganalisis, dan memprediksi status ketahanan pangan di 38 provinsi Indonesia. Sistem ini mengintegrasikan 4 layer analitik (Clustering, GWR, Forecasting, LISA) dan dilengkapi dengan asisten virtual cerdas berbasis arsitektur RAG (Retrieval-Augmented Generation) untuk menyederhanakan ekstraksi wawasan data bagi pembuat kebijakan.
Retrieval-augmented generation
LLM
BiteSight Analytics: Enterprise F&B Business Intelligence SaaS
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BiteSight Analytics: Enterprise F&B Business Intelligence SaaS
Experimental Projects
Mar 2026 - Mar 2026
BiteSight Analytics: Enterprise F&B Business Intelligence SaaS Live Access: https://bitesight.pages.dev/ BiteSight Analytics is an Enterprise-grade Business Intelligence (BI) SaaS tailored specifically for the Retail & F&B sectors. It merges premium visual aesthetics with advanced artificial intelligence to deliver an actionable, B2B analytical platform. 🧠 Core AI Technology: Agentic RAG & LLMs The brain of BiteSight is powered by an Agentic Retrieval-Augmented Generation (RAG) architecture designed for complex tabular data. Utilizing a tool-calling LangChain Agent integrated with the StepFun 3.5 Flash LLM (via OpenRouter), the system doesn't just read data—it reasons with it. The AI autonomously writes, executes, and iterates Python (Pandas) code within a secure backend sandbox to analyze thousands of CSV rows. It goes beyond simple data retrieval to generate hard Data Facts, deep Business Analyses, and Actionable Recommendations. 🚀 Key Features: • AI BizConsultant: A conversational interface allowing executives to "chat" directly with their metrics to uncover hidden operational bottlenecks. • Executive Dashboard V3: 11 highly interactive, premium visualizations (including Traffic Heatmaps, City-Level Treemaps, and Branch Comparison Radars). • Engineered Reporting: A seamless "One-Click PDF Export" utilizing an asynchronous DOM-to-SVG-to-PNG engine to stitch dashboards into presentation-ready A4 reports. • SaaS White-labeling: Precision theme customization featuring Glassmorphism UI and real-time Dark Mode transitions. 🛠️ Decoupled Serverless Architecture: • Frontend (UI/UX): Next.js 15+, Tailwind CSS, Recharts. Deployed as static HTML on Cloudflare Pages for 0ms edge latency. • Backend (AI & Processing): FastAPI, Python, Pandas, and LangChain. Containerized via Docker and deployed on Hugging Face Spaces as an isolated, secure execution sandbox. This project showcases end-to-end Full-Stack Data Science capabilities, bridging the gap between heavy AI computation and a sleek, client-facing SaaS experience.
Decoupled Serverless Architecture.
Next.js 15+ (Statis)
 RekrutPintar.id - AI-Powered Recruitment & Screening Platform
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RekrutPintar.id - AI-Powered Recruitment & Screening Platform
Experimental Projects
Feb 2026 - Feb 2026
RekrutPintar.id is a web-based recruitment platform designed to streamline the hiring process by moving beyond traditional CV screening. Utilizing the philosophy "CV's don't decide, RekrutPintar does," the system leverages AI to analyze candidate competency and behavioral data. It features an automated AI chat interview system that scores candidates in real-time, providing recruiters with a ranked dashboard of applicants based on potential and culture fit, drastically reducing administrative time.

Achievements & Competitions

Milestones and recognition from my journey.

2025

Juara 3 - Pagelaran Mahasiswa Nasional DIMAS-TI 2025 (Divisi Penambangan Data)

DIMAS-TI / Asosiasi MIPA LPTK Indonesia (AMLI)
2025

2nd Runner Up (Rank 5)

INTERGALACTIC / BEM FMIPA Universitas Negeri Surabaya
2025

Finalist GEMASTIK 2025 - Data Mining

GEMASTIK / Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi (Kemendikbudristek)

Working Experience

Freelancer

FastWork

2026-01-01 - Present

9 Project telah terlaksanakan

Licenses & Certifications

Professional credentials validating expertise and continuous learning.

Dicoding Indonesia
Verified
ID: KEXLQMV9RPG2
Dicoding Indonesia

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Portfolio

Crafting digital experiences with modern web technologies. Always learning, always building.

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