Projects¶
A portfolio of production-grade AI systems, from physics-informed energy platforms to agentic RAG chatbots, MLOps pipelines, and developer tools.
Flagship — ForceX AI¶
ForceX AI — AI-for-Energy Platform¶
Indonesia's first AI-for-energy platform — 12 physics-informed AI products for nuclear, geothermal, oil & gas, and renewables. Multi-agent orchestration with LangGraph, CNN/PINN/GNN/LSTM models, and production deployment.
Technologies: PyTorch, LangGraph, PINNs, GNNs, CNN, LSTM, RL (PPO), FastAPI, React, Docker
Highlights: 12 products, 484 tests, GeoForce deployed (R²=0.997), published on HuggingFace
View Project → | Visit forcex-ai.com →
GeoForce — CNN Geothermal Reservoir Surrogate¶
Standalone production version of the GeoForce CNN surrogate model. Replaces hours of TOUGH2 geothermal simulation with sub-second inference at R²=0.997 accuracy.
Technologies: PyTorch, CNN, TOUGH2, FastAPI, HuggingFace Hub
Highlights: 57K params, R²=0.997, model + dataset published on HuggingFace
GenAI & LLM Systems¶
Enterprise Agentic RAG Chatbot¶
Agentic RAG system with LangGraph multi-agent orchestration, self-reflective retrieval, hybrid search, and streaming responses. Deployed in production for enterprise documentation Q&A.
Technologies: LangGraph, LangChain, FastAPI, React, pgvector, Langfuse, Prometheus
Highlights: Self-reflection loop, 14 specialized agents, multilingual (ID + EN), production-deployed
AI-Powered Help & QnA System¶
Production-ready RAG system with hybrid retrieval (dense + BM25 + RRF fusion), multi-provider LLM fallback chain (5 providers), cross-encoder reranking, and voice assistant.
Technologies: FastAPI, pgvector, BGE embeddings, Redis, React, Docker, Kubernetes
Highlights: 40K+ docs indexed, 75%+ cache hit rate, ≤5% hallucination rate, 100% free-tier LLMs
Porto Agent — AI Content Marketing Platform¶
AI-powered platform that generates technical blog posts and LinkedIn content from git commit history. LangGraph orchestration with human-in-the-loop approval via dashboard and Telegram.
Technologies: Gemini 2.5 Flash, LangGraph, FastAPI, Next.js, PostgreSQL, Telegram Bot API
Highlights: Auto-generates blog + LinkedIn posts from commits, human-in-the-loop approval workflow
MLOps & Infrastructure¶
Broadcast Analytics — MLOps Platform¶
Enterprise MLOps platform with 24 trained models (6 algorithms × 4 targets), LLM-powered analytics chat, genetic algorithm schedule optimization, and full monitoring stack.
Technologies: FastAPI, scikit-learn, XGBoost, CatBoost, LangChain, Redis, Prometheus, Grafana, Docker, Kubernetes, GitHub Actions
Highlights: 24 models, genetic algorithm optimizer, Prometheus + Grafana + Alertmanager + Loki monitoring, full CI/CD
Media Platform — Ad Campaign Management¶
Comprehensive enterprise media platform with OTT streaming, broadcast management, media asset management, and multimodal AI (NLP + Vision + Audio). Microservices architecture deployed on Google Cloud Platform.
Technologies: NestJS, Next.js 14, Kafka, PostgreSQL + pgvector, MinIO, CLIP, Whisper, spaCy, Docker, Kubernetes, GCP (Cloud Run, Cloud SQL, Artifact Registry, Secret Manager)
Highlights: 5 Cloud Run microservices in production, managed PostgreSQL with private networking, MediaMTX streaming on Compute Engine, 350+ pages documentation
Developer Tools¶
Automation Testing Platform (ATP)¶
Playwright-like testing framework specialized for AI platforms — LLM APIs, AI chat UIs, and intelligent applications. Published on npm with full TypeScript support.
Technologies: TypeScript, Node.js, Playwright, Fastify, Next.js, pnpm + Turborepo
Highlights: Published on npm (@robi-atp/*), semantic similarity testing, hallucination detection, AI-aware browser selectors
Research¶
Recommendation Systems Research¶
Comprehensive comparison of YouTube Two-Tower, Netflix Foundation, and Hybrid recommendation architectures with 108 hyperparameter configurations tested.
Technologies: PyTorch, FAISS, Transformers, Gradio
Highlights: 0.744 best combined score, 3 architectures, interactive Gradio apps
Project Categories at a Glance¶
| Category | Projects | Key Skills |
|---|---|---|
| Physics-Informed ML | ForceX AI, GeoForce | PINNs, CNN surrogates, simulation, HuggingFace |
| GenAI & LLM | Agentic RAG, Help QnA, Porto Agent | LangGraph, RAG, multi-agent, LLM fallback chains |
| MLOps | Broadcast Analytics, Media Platform | ML pipelines, model registry, CI/CD, monitoring |
| Developer Tools | ATP | npm publishing, TypeScript frameworks, AI testing |
| Cloud & Infrastructure | Media Platform | GCP Cloud Run, Cloud SQL, Kubernetes, Terraform |
| Research | Recommendation Systems | PyTorch, FAISS, Transformers |