Sid ali Dendenne

I specialize in building production-grade AI solutions, custom RAG (Retrieval-Augmented Generation) pipelines, and intelligent document processing systems for high-trust B2B SaaS and Fintech platforms.

Whether you need to parse complex financial/legal documents accurately or integrate low-latency AI microservices into your existing stack, I deliver deterministic, production-ready AI architectures designed to eliminate model drift and hallucinations.

Core Technical Expertise:
- Custom RAG & Vector Search: Building hybrid retrieval architectures using LanceDB, Pinecone, and vector embeddings for precise query parsing across multi-page PDF/unstructured data.
- Agentic Workflows & Orchestration: Designing multi-agent stateful pipelines using LangGraph and LangChain.
- High-Performance AI Microservices: Developing REST APIs and async backend layers using Python and FastAPI.
- Local & Open-Source LLMs: Fine-tuning, deploying, and serving models via Ollama and open-weights frameworks for privacy and cost optimization.
- Database Integration: MongoDB, LanceDB, and modern vector storage setups.

What Sets My Services Apart:
- Production-First Focus: I write clean, fully tested, scale-ready code—not just prototype Jupyter notebooks.
- Zero-Hallucination Engineering: Specialized in strict intent routing and context-grounding for compliance-heavy domains.
- End-to-End Delivery: From API architecture and vector indexing to containerized deployment.

Let's connect to turn your AI product requirements into a production-ready solution.