Hi, my name is

Eggi Satria.

I'm a Data Engineer who loves building software

I sit at the intersection of Data Science and Software Engineering. I don't just analyze numbers; I build the pipelines and applications that make data useful. From automating workflows to deploying intelligent systems, I turn raw data into real-world solutions.

01.

About Me

Hello! I'm Eggi, a Data Engineer based in Indonesia who loves building software.

My journey started with web development, but I quickly realized that the real power lies in the data behind the apps. Today, my primary focus is Data Engineering designing architectures that collect and process data efficiently.

However, I never lost my passion for building. I don't just stop at the database level; I enjoy creating the full-stack applications that bring that data to life whether it's a dashboard, an automation bot, or an AI-powered tool.

Here are a few technologies I've been working with recently:

  • Python
  • Next.js
  • Node.js
  • TailwindCSS
  • PostgreSQL
  • Prisma
  • Docker
  • TypeScript
Profile
02.

Where I've Worked

Bachelor's Data Science @ Institut Teknologi Sumatera

Sep 2022 - Present

  • Final Year Project: Built an end-to-end intelligent traffic analytics system using YOLOv8 and ByteTrack to detect helmet violations in real-time.
  • Technical Focus: Specialized in Computer Vision, Data Warehousing, and Web Development integration.
  • Beyond Academics: Actively explored modern tech stacks (Next.js, Docker, Cloud VPS) to bridge the gap between data models and production-ready applications.
03.

Some Things I've Built

OilPalmVision.ai : Automating Oil Palm Census

Featured Project

OilPalmVision.ai : Automating Oil Palm Census

OilPalmVision is an AI SaaS platform designed to automate oil palm tree census and Management. By leveraging YOLOv8 computer vision and geospatial processing, it transforms drone and satellite imagery into actionable plantation insights, including precise tree counts, GPS coordinates, and Stand Per Hectare (SPH) metrics

FINARA: Integrated Retail & Warehouse Management System with Automated Accounting

Featured Project

FINARA: Integrated Retail & Warehouse Management System with Automated Accounting

FINARA is a comprehensive business management platform that unifies retail operations (Point of Sale), multi-location inventory management, and a professional accounting suite into a single integrated ecosystem. Developed using Next.js 15, React 19, and PostgreSQL, the system is designed to automate financial recording from every business transaction in real-time

IndoDoc Vision:  Automated Kartu Keluarga Extraction with State-of-the-Art A

Featured Project

IndoDoc Vision: Automated Kartu Keluarga Extraction with State-of-the-Art A

IndoDoc Vision is a pipeline designed to extract structured JSON data from Indonesian Family Card (Kartu Keluarga) documents. By integrating YOLOv8, U-Net, and Gemini VLM, the system achieves >95% field-level accuracy.

TrafficSense: AI-Powered Smart Traffic Analytics for Urban Area

Featured Project

TrafficSense: AI-Powered Smart Traffic Analytics for Urban Area

A real-time traffic density analysis system for Malang City intersections that integrates Edge Intelligence (YOLOv11 & ByteTrack) with Kappa Architecture (Apache Spark & Kafka) to deliver high-precision insights on resource-constrained hardware

Courtsight - Indonesia Supreme Court AI Agent

Featured Project

Courtsight - Indonesia Supreme Court AI Agent

CourtSight is a revolutionary AI-powered legal intelligence platform designed to democratize access to legal information in Southeast Asia. The platform transforms complex Supreme Court decision documents into searchable and understandable insights, making justice more transparent and inclusive.

Other EgiStr Projects

Sistem Klasifikasi Sampah Cerdas Berbasis Deep Learning dengan Integrasi Mekanisme Atensi

Proyek ini mengimplementasikan solusi Deep Learning mutakhir untuk klasifikasi sampah otomatis, membedakan antara sampah Organik dan Daur Ulang. Inti dari solusi ini adalah arsitektur ResNet-34 yang dimodifikasi dengan Convolutional Block Attention Module (CBAM). Integrasi CBAM memungkinkan model untuk memfokuskan "perhatian" pada fitur visual yang relevan (seperti bentuk dan tekstur objek) sambil menekan noise dari latar belakang yang kompleks. Hasilnya adalah model yang lebih akurat dan robust dibandingkan arsitektur CNN standar.

04.

Certifications

datacamp

datacamp

Associate Data Engineer

Jan 2026

ID: DEA0017413863631

Other
Data EngineerPythonPostgreSQL+1
datacamp

datacamp

AI Engineer for Data Scientists ASSOCIATE

Jan 2026

ID: AEDS0010969367235

Data Analytics
GEN AIData SciencePython+1
coursera

coursera

Analitik Data Google

Nov 2022
Data Analytics
ExcelPythonPostgreSQL
DBAcademy

DBAcademy

Database Administrator

Jan 2026
Database
PostgreSQLData Engineer
DBAcademy

DBAcademy

Database Developer

Jan 2026
Database
PostgreSQLData Engineer
dicoding

dicoding

Profesisonal Google Analisis Data Program Baparekraf Digital Talent Tahun 2022 Tahap 2

Dec 2022
Data Analytics
PostgreSQLExcelPython
05. What's Next?

Get In Touch

I'm currently open for new opportunities and my inbox is always open. Whether you have a question, want to collaborate on a project, or just want to say hi, I'll try my best to get back to you!

Say Hello