About Me
About Me

Hello👋 i'am Taufik Hidayat
An AI & Software Engineer with team-lead experience, currently completing a fast-track Master's in Computer Science at Universitas Brawijaya, specializing in architecting AI-powered systems and enterprise software. Experienced in leading and mentoring engineering teams and owning the SDLC, software architecture, and cloud and server infrastructure across ERP, IoT, and industrial platforms. Brings a versatile full-stack engineering background spanning modern web and mobile frameworks, with solid relational database design and an active applied-research record (3 international conference papers).
Educations
Educations
Educations🎓
There are some formal education
Brawijaya University
Master Degree in Computer Science (Fast-Track)
2024 - 2026 (Expected)
Brawijaya University
Bachelor Degree in Information Technology Education
2021 - 2025
State Senior High School 3 Tasikmalaya
Majoring in Mathematics and Natural Science
2018 - 2021

Experiences
Experiences
Work Experiences⌛
I have had valuable opportunities to broaden my horizons through various work experiences during my studies
Organizational & Committee Experiences⌛
During my college time, I was actively involved in various organizations and committees
My Skills
My Skills
Python
Java
C
C++
C#/.NET
JavaScript
TypeScript
PHP
Dart
Kotlin
Golang
HTML
CSS
Bootstrap
Tailwind CSS
Laravel
CodeIgniter
AngularJS
Vue.js
React.js
Next.js
Node.js
FastAPI
Streamlit
Flutter
LangChain
LangGraph
Hugging Face
ChromaDB
Microsoft SQL Server
MySQL
PostgreSQL
MongoDB
AWS
Docker
Redis
Nginx
Claude Code
Codex
Cursor
GitHub Copilot
Antigravity
Gemini CLI
DeepSeek
Qwen
MiniMax
Kimi
Z.ai
OpenHands
Manus
OpenClaw
MCP
Ollama
Google Colab
Hermes Agent
Visual Studio Code
IntelliJ IDEA
PHPStorm
Android Studio
Git
Github
GitHub Actions
GitLab
Composer
MySQL Workbench
phpMyAdmin
Laragon
Figma
Postman
Tech Stack⚙️ & Tools🛠️
There are some tech stack and tools that i've learned and experienced
Research
Research
Research🔬
Applied research in AI, computer vision, and educational technology
Comparative Analysis of Multimodal Fusion Strategies of Facial Images and Facial Landmarks with Feature Decomposition Based on FACS and Blendshape for Facial Expression Recognition
Brawijaya University — Master's in Computer Science
2024 - 2026
Investigates how different multimodal fusion strategies combine facial images and facial landmarks for facial expression recognition. The work decomposes facial features based on the Facial Action Coding System (FACS) and blendshapes, then compares fusion approaches to improve recognition accuracy and interpretability.
- Computer Vision
- Multimodal Fusion
- CNN
- Facial Landmarks
- FACS
- Deep Learning
Development of Block-Based Programming Learning Media to Help Students Learn Programming (Case Study: Basic PHP Learning in Web Programming Practicum at Faculty of Computer Science, Brawijaya University)
Brawijaya University — Information Technology Education
2021 - 2025
Designed and developed a block-based programming learning platform to make introductory programming more accessible for students. The research evaluated the media's effectiveness in supporting students learning basic PHP within the web programming practicum.
- Educational Technology
- Block-Based Programming
- Learning Media
- HCI
Publications
Publications
Publications & Conferences📚
There are some international conference papers I've authored
Automated Engagement Assessment in Block-Based Programming Using Facial Emotion Recognition
13th Electrical Power, Electronics, Communications, Controls, and Informatics Seminar (EECCIS 2026)
June 2026

Multimodal Integration of CNN and Facial Landmarks for Educational Emotion Recognition
10th International Conference on Sustainable Information Engineering and Technology (SIET 2025)
October 2025

An Early Evaluation of Block-Based Programming Learning Media to Help Students Learn Programming
4th International Conference on Multidisciplinary Applications of Information Technology (ICOMIT 2025)
August 2025

Projects
Projects
Project I've Created💼
During my time at the college, I have worked on several projects that are interesting and relevant to my field of study.
Autonomous Paperclip is a Phase A research experiment for Grinviro exploring autonomous AI agents, built on an open-source fork of paperclipai/paperclip. I configured a three-tier agent hierarchy — Director AI (Claude Opus), Manager AI (Claude Sonnet), and Staff AIs (DeepSeek) — and validated a complete end-to-end autonomous workflow from task submission through AI delegation, implementation, code review, and automated release to production. The experiment successfully proved that a fully autonomous, human-in-the-loop multi-agent pipeline is feasible across the software delivery lifecycle.
Mother Tank is Grinviro's internal AI Workspace platform that enables teams to collaborate together with AI agents inside a single, centralized workspace. As an AI Engineer, I helped architect and build the platform, which supports per-project knowledge management, multi-model AI chat with an approval workflow, real-time collaboration between users, and automated task execution by AI. The platform serves as the central hub for AI-assisted teamwork across the organization, combining knowledge bases, multiple LLMs, and human-in-the-loop approval into one unified experience.
Recruitment by AI is Grinviro's AI-powered recruitment portal that streamlines the end-to-end hiring process. As an AI Engineer, I integrated AI agent capabilities into the platform to deliver features such as AI-powered CV screening, automated video interviews with AI-based scoring, online psychometric testing, and AI-driven user interviews. The system helps the recruitment team evaluate candidates more objectively and efficiently by automating repetitive screening tasks while keeping recruiters in control of final decisions.
Grinviro ERP is an enterprise resource planning system covering 10 departmental modules: Marketing, Business Development Engineer, Project, Manufacture, Operations, Supply Chain Management, Quality Management Assurance, Human Capital Development, Finance, and Data Intelligence & Automation. I started as a Software Engineer building the system and later led the ERP engineering team. My work spanned database integrations, RESTful APIs, and SQL Server stored procedures to ensure seamless data flow across business modules, along with core business logic and unit tests to guarantee functional accuracy and maintainable code across all departments.
Codelamp LMS is a comprehensive Learning Management System developed for Codelamp, serving 5,000+ active students across online classes, live courses, webinars, and mentoring programs. Built using the Laravel framework, the platform provides a complete solution for course management, student enrollment, progress tracking, and assignment grading. As a Full Stack Developer, I was responsible for developing and maintaining the entire system while also serving as an online course instructor with a perfect rating of 5/5.
InnerSpace is a web-based stress monitoring platform that lets participants submit subjective data through three modules — daily diaries, video logs, and questionnaires — so experimenters and psychiatrists can track stress conditions longitudinally. Built with a Next.js (React + Material-UI) frontend and a Laravel REST API secured with Bearer-token authentication via Laravel Sanctum, the system handles business logic, video upload management, validation, and role-based access for four actors: participants, experimenters, psychiatrists, and a superadmin. A relational database stores users, experiments, diary entries, video-log metadata, and questionnaire items and answers, while recorded videos are kept on the server filesystem and referenced by path.
Let's Talk
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Next Project
Contact
Contact
Feel Free To Contact Me📨
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