Architecting
Autonomous
Intelligence.
End-to-end development of production-grade LLM pipelines and Agentic workflows. From prototype to scalable MLOps infrastructure.
The Architecture
Visualizing the flow from raw data to autonomous action through high-performance vector retrieval and LLM reasoning.
Ingestion
Unstructured data parsing & chunking pipelines.
Embedding
High-dimensional vectorization & storage.
Reasoning
Context-aware inference via LLMs (Llama 3, GPT-4).
Agent Action
Multi-step planning & autonomous tool execution.
Response
Structured output delivery via secure API endpoints.
Core Capabilities
Agentic Orchestration
Design and deployment of autonomous agents capable of complex reasoning. Utilizing LangChain and AutoGen to create systems that can browse the web, execute code, and manage state across long-running tasks.
Advanced RAG
Hybrid search implementation combining sparse and dense vectors. Custom reranking models to boost retrieval accuracy by 40%+.
Enterprise MLOps
Secure deployment within VPCs using Docker & Kubernetes. Comprehensive monitoring with Prometheus & Grafana.
Fine-Tuning & Quantization
Adapting open-source models (Llama 3, Mistral) to your specific domain using LoRA/QLoRA. Reducing VRAM usage by up to 60% without significant performance loss.
Ready to deploy intelligence?
Let's discuss how we can integrate state-of-the-art GenAI into your product stack with enterprise-grade reliability.