Fa'iz Alfarisi

Building Intelligent Systems with AI & Software Engineering

Backend Developer with a Mathematics background, passionate about building intelligent systems that combine AI, software engineering, and real-world usability.

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Selected Work

Engineering projects demonstrating problem-solving and technical decision-making.

AI Systems

RAGnamok

A privacy-first, fully local Retrieval-Augmented Generation system designed for scalable document intelligence.

Relevance: 5.00/5 | Correctness: 4.46/5 | Hallucination: 4.36/5 (higher=better)

PythonFastAPILangChainPostgreSQL+4

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Applied AI Research

BISINDO Gesture Recognition Generalization

Improving the generalization of BISINDO gesture recognition through realistic 3D keypoint augmentation.

Single-subject training dataset + external cross-domain evaluation dataset

PythonPyTorchMediaPipeNumPy+1

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AIoT System

S.A.F.E. Laboratory

An AIoT-based laboratory access system integrating computer vision and IoT for automated PPE compliance verification.

88-97%

PythonPyTorchYOLOv5Flask+3

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Optimization System

Route Optimization using ILS-RVND

A web-based route optimization system implementing the Iterated Local Search with Random Variable Neighborhood Descent (ILS-RVND) algorithm.

Supports optimization scenarios up to 100 nodes

PythonStreamlitNumPyPandas+1

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Engineering Philosophy

How I approach problems and make engineering decisions.

Systems Thinking

Understand the complete system before optimizing individual components. Every decision affects the whole.

Simplicity First

Prefer the simplest solution that fully solves the problem. Complexity should be earned, not assumed.

Evidence Over Claims

Show architecture diagrams, metrics, and trade-offs. Trust is built through demonstrated work, not assertions.

Continuous Learning

Engineering maturity comes from reflection — acknowledging what failed and what would be improved.

Experience

Professional experience and engineering growth.

March 2026 - PresentFull-time

Back End Developer

PT Ranajaya Citaprasada Thani Indonesia

Develop backend services for business applications while contributing to internal AI initiatives involving large-scale computer vision datasets.

Develop backend services using Go, GORM, PostgreSQL, and Redis for business applications.
Collaborate with cross-functional teams to design scalable REST APIs and relational database architectures.
Contribute to internal computer vision initiatives through large-scale aerial imagery dataset preparation and annotation using YOLOv8 workflows.

GoGinGORMPostgreSQLRedis

May 2025 - March 2026Internship

Back End Developer Intern

PT Ranajaya Citaprasada Thani Indonesia

Built backend systems for multiple business applications using Go while collaborating within Agile development teams.

Designed relational database schemas and developed 50+ RESTful API endpoints for multiple production-oriented business systems.
Implemented authentication, JWT authorization, RBAC, pagination, and modular CRUD services using Go, Gin, GORM, and PostgreSQL.
Collaborated in Agile development through sprint planning, daily stand-ups, weekly reviews, Git-based workflows, and code reviews.

GoGinGORMPostgreSQLRedis

February 2025 - May 2025Internship

Back End Developer Intern

Back-End Web Development Internship

Developed the backend architecture of a school information system from scratch during an internship program.

Designed the relational database schema and developed backend services for a school information system using Go Fiber and PostgreSQL.
Implemented authentication, JWT authorization, RBAC, attendance management, class management, subject management, and daily learning journal modules.
Built 50+ RESTful API endpoints following clean API design principles to support future frontend and mobile integration.

GoFiberGORMPostgreSQLJWT

Core Expertise

I enjoy building intelligent systems across AI engineering and backend development, transforming ideas into production-ready software.

Artificial Intelligence19

Building intelligent systems using machine learning, computer vision, NLP, and modern LLM technologies.

PythonMachine LearningDeep LearningComputer VisionNatural Language ProcessingRetrieval-Augmented Generation (RAG)Generative AIPrompt EngineeringPyTorchScikit-learnLangChainMediaPipeUltralytics YOLOFastAPIFlaskModel EvaluationData AnnotationData AugmentationOllama

Currently Exploring

AI AgentsModel Context Protocol (MCP)Agentic RAGVector DatabasesAI System Architecture