Work_Experience_Log
A chronological feed of professional milestones, system impact, and the tech stacks behind them.
Available_for_Compute
[CURRENT]
2026 - PRESENTFULLSTACK AI ENGINEER
Rantai Usaha Nusantara
Core_Objectives
- ▶Build and integrate custom RAG pipelines for enterprise-level automation.
- ▶Fine-tune open-source LLMs (Llama 3, Mistral) on proprietary industry datasets to improve domain accuracy.
- ▶Bridge Python-based neural inference backends with highly responsive and interactive Next.js dashboards.
Technical_Stack
PyTorchLLMNext.js
System_Impact
Spearheaded enterprise RAG pipelines and LLM fine-tuning that raised answer accuracy on proprietary datasets; shipped neural inference backends paired with reactive Next.js dashboards used by internal business units.[ARCHIVED]
2025 - PRESENTAI ENGINEER
Synapsis.id
Core_Objectives
- ▶Implement IoT services for real-time or batch model inference.
- ▶Optimize inference pipeline and backend services to meet throughput under bursty traffic.
- ▶Build structured, scalable, and maintainable services for AI applications.
Technical_Stack
PyTorchObject DetectionLLM
System_Impact
Initiated and implemented centralized Raspberry Pi Device Management and connectivity for the AI teams; optimized inference services to hold throughput under bursty traffic.[HISTORY]
2023 - 2025FRONTEND ENGINEER
Synapsis.id
Core_Objectives
- ▶Build interactive web applications using modern JavaScript frameworks, component-based architectures. Focused on performance, accessibility, and maintainable code
- ▶Implement state-management patterns using Zustand or Redux Toolkit to sync multiple high-frequency data feeds.
- ▶Integrate APIs and optimize server-side or client-side query performance.
Technical_Stack
Next.jsAPI IntegrationE2E Testing
System_Impact
Delivered realtime dashboards syncing multiple high-frequency data feeds and shipped E2E-tested feature modules adopted by internal product teams.[HISTORY]
2019 - 2023FRONTEND_BOOTSTRAP
SELF-TAUGHT / FREELANCE
Core_Objectives
- ▶Self-taught frontend foundation across HTML, CSS, and JavaScript before moving into modern React-based component architecture.
- ▶Shipped small client projects end-to-end — from layout and interaction to deployment — sharpening the full product loop.
Technical_Stack
JavaScriptReactCSS
System_Impact
Bootstrapped the entire career trajectory: the skillset and product instincts that later scaled into professional frontend and AI engineering roles.Architect Profile
SYNAPTIC_OVERVIEW
System Reliability99.999%
Professional_Vitals
terminalExperience Age
3+ YEARShubShipped Projects
5 NODESmemoryInference Mode
100% ON-DEVICEpsychologySpecialization
Fullstack AI EngineeringspeedEdge Latency
SUB-20MScode_blocksOpen Source
5 REPOSOpen_Source_Artifacts
