Sadman Sakib Rafi
<AI Engineer/>
I build intelligent software systems that combine practical machine learning, LLM workflows, and production-minded engineering for real-world use cases.
Capability Matrix
Skills built for production AI
A focused stack for LLM applications, supervised fine-tuning, agent workflows, retrieval systems, and API-first AI products.
Agent orchestration
LLM Systems
Designing production-minded assistants with routing, memory, tool calling, and model abstraction layers.
Core Tools
Applied In
Languages
AI Stack
Systems
Selected Work
AI Projects
Explore my collection of AI and machine learning projects, from neural networks to production systems.
Advanced AI-powered recruitment platform employing a multi-agent 'Deep Reasoning' architecture to evaluate candidates like a human technical recruiter. Features hybrid LLM approach, vector search, and comparative ranking.
Key Features
- Multi-agent 'Deep Reasoning' architecture (Judge Agent)
- Hybrid LLM approach (Gemini + Ollama)
- Tournament-style Comparative Ranking Engine
Context-aware planning assistant powered by local LLMs (via Ollama) to schedule tasks, search summaries, and maintain memory.
Key Features
- Schedule tasks and meetings
- Day summarization with semantic search
- Context-aware chat
AI-powered caption generation platform for social media content creation.
Key Features
- Generates captions for Facebook, Instagram, Twitter
- Context-aware caption generation
- API-first design for integration
Scrapes Samsung phone specifications, answers natural language queries, and generates AI-based reviews with multi-agent system.
Key Features
- Web scraping of real-world phone specs
- Query answering with RAG
- AI-generated phone reviews
Next Build
Ready to build an intelligent system?
From concept to deployment, I help turn AI ideas into useful, reliable product experiences.