Production-Ready AI & Software Engineer¶
What's New
A privacy-first code interpreter for data analysis (local-model experiment) - A privacy-first code interpreter for data analysis (local-model experiment) Read more ->
Now Live in Production
Agentic ERP Automation Platform (ongoing) - An agentic automation layer on a live commercial cloud ERP, running the full procure-to-pay chain for a multi-entity manufacturing group: AI vision extraction of vendor invoices, statistical invoice-to-receipt matching, automated purchase orders and purchase invoices written into the ERP, and a three-gate payment flow with enforced separation of duties that executes real bank transfers. Built with no ERP sandbox, so every safety property is engineered: GET-only mirror for all reads, a seven-layer write-guard with idempotency and read-back verification, dry-run by default, canaried one document at a time. 43 read-only AI tools on an in-app assistant. Read the deep dive ->
In Progress
EnergyLM-7B — LLM Fine-Tuning & Alignment — End-to-end LLM fine-tuning pipeline: QLoRA SFT on Qwen2.5-7B, DPO vs ORPO alignment comparison, CoT distillation, 10-benchmark evaluation, AWQ/GGUF quantization. 20K synthetic energy-domain dataset. $0 budget — 100% free compute. View project →
Currently Building
ForceX AI — Indonesia's first AI-for-energy platform. 12 physics-informed AI products for nuclear, geothermal, oil & gas, and renewables. GeoForce v1.1 deployed with R²=0.997 accuracy. Explore the platform →
Overview¶
I am Robi Dany Riupassa, a software engineer and AI specialist building production-grade AI systems — from physics-informed energy platforms to agentic RAG chatbots and enterprise MLOps pipelines.
My work spans:
- Agentic Enterprise Automation - Production ERP integration, guarded and idempotent write-back into live financial systems, human-in-the-loop approval flows, AI document extraction, MCP tool servers
- LLM Fine-Tuning & Alignment — QLoRA SFT, DPO, ORPO, CoT distillation, reward modeling, synthetic data generation, AWQ/GGUF quantization, lm-evaluation-harness
- Agentic AI & RAG — LangGraph multi-agent orchestration, self-reflective retrieval, hybrid search, multi-provider LLM fallback chains
- Physics-Informed ML — PINNs, CNN surrogates, GNNs for energy sector simulation (ForceX AI, 12 products)
- MLOps & Model Deployment — Automated training pipelines, model registry, 24 production models, CI/CD with GitHub Actions
- GPU Computing — NVIDIA CUDA, PyTorch cu128, Docker GPU passthrough, VRAM budgeting, Blackwell sm_120 compatibility
- Cloud & Infrastructure — Google Cloud Platform (Cloud Run, Cloud SQL, Secret Manager), Docker, Kubernetes, Kafka, Terraform
- Multimodal AI — NLP (spaCy, Transformers), Vision (CLIP, YOLOv8), Audio (Whisper), Vector Search (pgvector)
- Published Work — Models and datasets on HuggingFace, AI testing framework on npm (@robi-atp/cli)
Featured Projects¶
Now Live — Agentic ERP Automation Platform¶
Agentic ERP Automation Platform | Ongoing, live in production
An agentic automation platform layered on a live commercial cloud ERP platform, automating the full procure-to-pay chain for a multi-entity food manufacturing and hospitality group. Four connected pillars (purchasing, production, sales, payment), 87 API endpoints, 43 read-only AI tools, 15 containerized services, and 5 guarded ERP write capabilities that create purchase orders, goods receipts, purchase invoices, vendor masters, and payments in a live financial system.
The engineering constraint that shaped everything: no ERP sandbox and no test tenant, with real company money behind every write. The answer was a GET-only nightly mirror serving all reads, a seven-layer write-guard (host guard, mirror refusal, per-capability flag, dry-run shadow mode, deterministic idempotency codes, pre-check with sanity caps, read-back verification), and a rollout that canaried each capability on a single real document before enabling it. The AI proposes; a human commits; the execution layer holds every safeguard.
Stack: FastAPI · Next.js · PostgreSQL · Claude (headless CLI + vision) · MCP · Docker Compose · Alembic · Nginx
AI-Native Applications — TransForce & CutForce¶
TransForce | CutForce | both deployed
Two applications on one architectural bet: a human and an AI agent editing the same live state, through an MCP tool layer rather than code generation, driven by a headless Claude Code agent on a subscription.
TransForce does chat-driven Monte Carlo radiation transport on OpenMC: describe a reactor problem, and the agent builds the CSG geometry, materials, source and tallies, runs it, and reports k-eff with uncertainty. It reproduces published papers end to end and reports the bias in pcm. The agent never writes Python, only a typed ModelSpec that a deterministic driver translates. 27 simulation tools, depletion, weight-window variance reduction, MGXS.
CutForce is a browser video editor where the agent is a second cursor on the timeline: 43 MCP tools, live WebSocket sync, undo that works across both editors, an embedded terminal, and an ffmpeg export engine that compiles keyframes into ffmpeg expressions.
Flagship — ForceX AI¶
ForceX AI — AI-for-Energy Platform | forcex-ai.com
12 physics-informed AI products (PINNs, CNN, GNN, LSTM, RL) with LangGraph agent orchestration. GeoForce CNN surrogate deployed at R²=0.997. Model and dataset published on HuggingFace. 484 passing tests.
In Progress — EnergyLM-7B: LLM Fine-Tuning & Alignment¶
EnergyLM-7B — LLM Fine-Tuning & Alignment Pipeline
End-to-end LLM training pipeline: fine-tunes Qwen2.5-7B on 20K synthetic energy-domain instructions using QLoRA SFT, aligns with DPO vs ORPO comparison study, trains a reward model, and benchmarks across 10 evaluation dimensions. Multi-teacher data generation (Gemini + Groq + OpenRouter), MinHash + semantic dedup, LLM-as-judge quality filtering, AWQ/GGUF quantization, vLLM serving. $0 budget — entirely on free-tier compute.
Stack: PyTorch · Transformers · TRL · PEFT · QLoRA · DPO · ORPO · lm-eval-harness · vLLM · Kaggle T4
View Project → | ForceX-AI on HuggingFace →
Latest — Agentic HR Intelligence Platform¶
Agentic HR Intelligence Platform
Full-stack AI-powered HR platform that turns raw employee and attendance data into workforce intelligence. Gemini 2.5 Flash agentic chat with 5 specialized tools and up to 10-iteration tool calling, 6 interactive analytics dashboards, multi-factor turnover risk scoring (0-100), automated anomaly detection, and AI-driven contract renewal recommendations with PDF report generation.
Stack: Next.js 16 · React 19 · FastAPI · PostgreSQL · Gemini 2.5 Flash · Recharts · Tailwind CSS 4
Enterprise Systems (Private Company)¶
AI Service Migration: CPU to GPU (RTX 5060) — Migrated multimodal AI inference (Whisper, CLIP, YOLO) to NVIDIA RTX 5060 GPU. 8.7x pipeline speedup, Blackwell sm_120 CUDA fix, VRAM budgeting on 8 GB, zero-downtime rolling cutover.
Enterprise Agentic RAG Chatbot — LangGraph multi-agent RAG with self-reflection, hybrid search (dense + BM25 + RRF), multilingual, Langfuse observability. Production-deployed.
Media Platform with OTT Streaming — 8+ NestJS microservices, multimodal AI (NLP/Vision/Audio), Kafka event streaming. OTT deployed on Google Cloud Platform (5 Cloud Run services, Cloud SQL, Compute Engine).
Broadcast Analytics — MLOps Platform — 24 trained models (6 algorithms x 4 targets), LangChain agent with 7 tools, genetic algorithm optimizer, Prometheus/Grafana/Alertmanager monitoring stack.
AI-Powered Help & QnA System — Production RAG with hybrid retrieval, 5-provider LLM fallback chain, cross-encoder reranking, voice assistant. 75%+ cache hit rate, ≤5% hallucination rate.
Independent Projects¶
GeoForce — CNN Reservoir Surrogate — Standalone production model replacing TOUGH2 simulation. R²=0.997, 57K params. Published on HuggingFace.
Porto Agent — AI content marketing platform. Generates blog posts from git commits using Gemini AI + LangGraph, with human-in-the-loop approval via dashboard and Telegram.
AI Testing Framework (ATP) — Playwright-like testing for AI apps. Semantic similarity, hallucination detection. Published on npm as @robi-atp/cli.
Recommendation Systems Research — YouTube Two-Tower, Netflix Foundation, and Hybrid architectures compared across 108 hyperparameter configurations.
Professional Experience¶
Developer & Researcher — ForceX AI | Current
Building Indonesia's first AI-for-energy platform — 12 physics-informed AI products, GeoForce deployed, models published on HuggingFace.
AI Engineer (Enterprise Automation) — A Multi-Entity Manufacturing & Hospitality Group | Current
Sole engineer on a production agentic automation platform integrated with the group's live cloud ERP: procure-to-pay automation, AI document extraction, guarded ERP write-back, and a multi-gate payment approval flow executing real vendor transfers.
Software Developer & AI Specialist — A Leading ICT Solutions Provider | Current
Enterprise AI systems for media and broadcast — agentic RAG chatbots, MLOps pipelines, multimodal AI, cloud-native deployment on GCP.
Training Instructor — Government Transformation Academy, BPPTIK KOMINFO
Delivered Fundamentals of Data Science training for government professionals.
Education¶
Doctoral Research in Physics — Bandung Institute of Technology, Indonesia Passive safety systems for Generation IV Molten Salt Reactors, combining CFD simulation with deep learning. ITB Digital Library →
Master of Science (MSc) in Physics — Bandung Institute of Technology, Indonesia
Publications¶
Published research in physics, computational science, and AI. Google Scholar | Scopus
Contact¶
- Email: robiriu@gmail.com
- GitHub: github.com/robiriu
- LinkedIn: LinkedIn Profile