Work_Experience_Log
A structured chronological feed of high-fidelity professional milestones, system impact metrics, and technical stack convergence.
Current_Status: Available_for_Compute
[CURRENT]
2026 - PRESENTFULLSTACK AI ENGINEER
Rantai Usaha Nusantara
Core_Objectives
- ▶Lead development and integration of 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
- Latency reduction: 320ms → 45ms
- Model accuracy: +14.2% validation score
- System reliability: 99.98% runtime uptime[ARCHIVED]
2025 - PRESENTAI ENGINEER
Synapsis.id
Core_Objectives
- ▶Architect highly scalable cloud-native microservices to coordinate real-time model inference.
- ▶Optimize high-throughput TypeScript backends built on Node.js to handle bursty traffic patterns.
- ▶Implement structured state machines and custom caching layers in data observation dashboards.
Technical_Stack
PyTorchObject DetectionLLM
System_Impact
- Pod startup speed: +35% faster container spawning
- Compute cost reduction: 28% via active resource autoscaling
- Core API throughput: 15,000 requests/sec[HISTORY]
2023 - 2025FRONTEND ENGINEER
Synapsis.id
Core_Objectives
- ▶Own end-to-end product development of customer-facing dashboards and reporting consoles.
- ▶Implement state-management patterns using Redux Toolkit to sync multiple high-frequency data feeds.
- ▶Integrate PostgreSQL relational tables and optimize client-side query performance.
Technical_Stack
Next.jsAPI IntegrationE2E Testing
System_Impact
- First Contentful Paint: -400ms improvement
- Client retention: +8.5% QoQ via improved analytics UX
- Debugging overhead: 25% decrease via TypeScript migrationArchitect Profile
SYNAPTIC_OVERVIEW
System Reliability99.999%
Professional_Vitals
terminalExperience Age
8.4 YEARShubProject Density
HIGHpsychologySpecialization
DISTRIBUTED_AI