# Praditya Wicaksono — AI/ML Engineer & Full-Stack Systems Developer

> Master of Information Technology (M.Kom.) Candidate at Universitas Dian Nuswantoro. Specializing in Production LLM Systems, Agentic RAG, LoRA Instruction Tuning, MLOps Evals, and High-Performance Full-Stack Systems.

## Summary & Core Competencies

Praditya Wicaksono is a hybrid AI Engineer, Researcher, and Full-Stack Systems Developer based in Indonesia, available for international remote roles. He bridges cutting-edge machine learning research with production-grade software engineering.

### Primary Engineering Domains
1. **Generative AI & Agentic MLOps:**
   - Multi-agent orchestration (LangGraph, CrewAI) & Tool Calling.
   - Hybrid Retrieval-Augmented Generation (Vector Search + BM25 Hybrid RAG).
   - LoRA & QLoRA Fine-tuning / Instruction-tuning for open-source LLMs (Llama 3, Mistral, Qwen).
   - Production Evals & Observability (Accuracy tracking, latency benchmarks, token cost optimization).

2. **Full-Stack Web Systems:**
   - Modern Next.js (App Router), React, & TypeScript.
   - High-throughput backend APIs with Python FastAPI and Node.js.
   - Offline-first database synchronization & ORMs (Drizzle, Prisma).
   - Clean Architecture, 11-layer CSS cascade (@layer enforcement), and design token systems.

3. **AI in Education & Reinforcement Learning Research:**
   - Adaptive pedagogy modeling using Q-POMDP Reinforcement Learning & LLMs.
   - Zone of Proximal Development (ZPD) pedagogical state/action alignment (MAESTRO framework).

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## Key Achievements & Proof of Work

- **Academic Publications:**
  - *Stock Market Prediction and Time-Series Forecasting using Multi-Head Attention* — Published in ICAMIMIA 2025 (Scopus-Indexed).
  - *Q-POMDP Reinforcement Learning for Adaptive Pedagogical Policy Scheduling* — IEEE ISemantic 2026.
- **Intellectual Property (HAKI):** Registered copyright holder for Lectura Infrastructure & MAESTRO RL Configurator.
- **Academic Performance:** GPA 3.96 / 4.00 (Master of Information Technology).
- **Live Systems:** Production deployments of Lectura web architecture and MAESTRO framework.

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## Technical Stack & Tooling

- **Languages:** Python, TypeScript, JavaScript, SQL, C++, Dart
- **AI / ML:** PyTorch, Hugging Face Transformers, PEFT/LoRA, LangChain, LangGraph, LlamaIndex, Qdrant, Pinecone
- **Web & Backend:** Next.js, React, Node.js, FastAPI, Express.js, Tailwind CSS, Radix UI
- **Databases & ORM:** PostgreSQL, SQLite, Drizzle ORM, Prisma, Redis
- **DevOps & Infrastructure:** Docker, Git, CI/CD Pipelines, Vercel, Firebase Hosting

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## Site Navigation & Key Resources

### Specialized Curriculum Vitae (CV) Pages
- [AI & Tech CV](https://pradityawicaksono.com/cv/ai-tech): Focused on LLMs, Agentic RAG, PyTorch & MLOps.
- [Full-Stack Engineering CV](https://pradityawicaksono.com/cv/fullstack): Focused on Next.js, Node.js, FastAPI & Systems Architecture.
- [Academic & Educator CV](https://pradityawicaksono.com/cv/lecturer): Focused on CS Education, Research Publications, and Pedagogy.

### Key Projects
- [Lectura](https://pradityawicaksono.com/project/lectura): AI-powered presentation & interactive course platform for educators.
- [MAESTRO](https://pradityawicaksono.com/project/maestro): Adaptive pedagogical policy scheduling engine using Q-POMDP Reinforcement Learning.
- [Udinus Thesis Template](https://pradityawicaksono.com/project/udinus-thesis-template): Modular, one-command LaTeX Master's thesis template.
- [Gateway](https://pradityawicaksono.com/project/gateway): High-throughput API gateway & microservice routing infrastructure.

### Technical Articles & Essays
- [Building Lectura](https://pradityawicaksono.com/blog/lectura-engineering): A side project that started from presentation formatting frustrations.
- [When Research Prototypes Collide with Production](https://pradityawicaksono.com/blog/ai-researcher-engineering): Lessons from deploying RL tutoring models outside Jupyter notebooks.
- [Building a LaTeX Thesis Template](https://pradityawicaksono.com/blog/latex-thesis-template): Content-first academic writing with XeLaTeX and arXiv integrations.
- [Degrees vs Real Capability](https://pradityawicaksono.com/blog/empirical-capability-validation): Evaluating software engineers beyond diploma titles and teaching AI in higher education.

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## Links & Contact Information

- **Website / Portfolio:** https://pradityawicaksono.com
- **GitHub:** https://github.com/aditwicaksonodinus
- **LinkedIn:** https://linkedin.com/in/praditya-wicaksono-a825652b6
- **Google Scholar:** https://scholar.google.com/citations?user=_jSkfr4AAAAJ
- **ORCID:** https://orcid.org/0000-0002-1326-3980