Siberflow
Multi-provider AI platform with streaming tool calling, file and database access, task checklist support, session persistence, and CLI plus VS Code delivery.
- TypeScript
- Agent Loop
- VS Code
- CLI
AI Engineer ยท Full-Stack Developer
I build practical AI products across CLI, VS Code, API, OCR, and Indonesian NLP experimentation, backed by broader experience in mobile apps, GIS platforms, dashboards, CMS, and public-sector web systems.
Selected Work
Multi-provider AI platform with streaming tool calling, file and database access, task checklist support, session persistence, and CLI plus VS Code delivery.
Command-line AI assistant with multi-provider support, storage and database tooling, provider fallback, and practical system automation features.
VS Code extension that lets an AI developer agent inspect files, search workspace context, run commands, and edit project content through tool calling.
OCR workflow for Indonesian identity cards and passports using OpenCV, Tesseract, EasyOCR, and optional LLM-assisted extraction.
Experimental Indonesian-language media analysis workspace covering scraping, SQLite datasets, IndoBERT embeddings, clustering, keyword extraction, chatbot experiments, and local LLM runtime.
Hands-on local model experimentation with quantized GGUF models, `llama.cpp`, `llama-cpp-python`, interactive chat scripts, and OpenAI-style local API wrapping.
Experience Themes
Building systems where models do more than respond: they inspect context, choose tools, execute actions, and continue a task loop.
Designing product flows that work across multiple providers with switching, fallback, and interface consistency.
Combining OCR engines, preprocessing, heuristics, and optional LLM assistance to structure noisy document data.
Exploring IndoBERT, TF-IDF, clustering, stemming, keyword extraction, and question-answering workflows for local-language data analysis.
Running and wrapping GGUF models locally with `llama.cpp` and `llama-cpp-python`, including chat endpoints and Apple Silicon oriented experimentation.
Institutions
Broader Delivery
Delivery experience on mobile applications for institutional and government workflows, including internal service applications.
Built geoportals, interactive maps, stock maps, and spatial monitoring systems using LeafletJS, GeoServer, and relational databases.
Worked on recruitment portals, CBT systems, licensing systems, attendance systems, tax-payment systems, and monitoring dashboards.
Delivered admin interfaces, content management systems, and reporting tools for public-facing and internal institutional use.
Non-AI Highlights
Institutional mobile application delivery for internal services, information access, and support workflows in government environments.
Geospatial products for public information, stock monitoring, environmental data, Covid monitoring, and map-based city services.
Business-critical systems designed for institutional process management, administrative control, and service workflows.
Admin systems, dashboards, and CMS workflows for publishing, monitoring, reporting, and decision support in organizational settings.
Combined Stack
Professional Positioning
The strongest signal across the portfolio is practical AI engineering: building assistants, agents, extraction pipelines, and experimentation environments that connect models to real tools, data, and workflows.
What makes the profile stronger is that this AI work sits on top of broader delivery experience in mobile, GIS, dashboards, CMS, and institutional systems. That combination is well aligned with roles involving developer productivity, LLM applications, workflow automation, document intelligence, and applied NLP.
Contact
Best fit for roles involving AI tooling, LLM applications, workflow automation, document intelligence, internal platforms, and production software delivery.