Sourav A.

As an AI Architect with 6+ years of experience, I’ve delivered 5+ critical full-stack AI solutions—slashing operational costs by up to 60% and cutting manual workflow times from days to seconds. I bridge the gap between complex LLM architectures and bottom-line revenue, building autonomous agents and real-time voice systems that deliver measurable business impact. Over the past years, I’ve designed production-grade AI systems for startups and enterprises across healthcare, finance, manufacturing, insurance, and robotics. My primary focus is Agentic AI: moving beyond passive search and basic chatbots to build systems that plan, tool-call, and execute end-to-end business operations. How I Help You Maximize AI ROI: *Autonomous Workflow Automation: Building multi-agent architectures using LangGraph, CrewAI, and AutoGen that operate across your business tools to eliminate multi-step manual tasks. * Low-Latency Voice & Multi-Modal AI: Architecting ultra-fast, natural conversational voice agents using Pipecat, LiveKit, and real-time APIs for intake, support, and sales automation. * Enterprise-Grade RAG & Fine-Tuning: Custom knowledge retrieval pipelines (Neo4j Knowledge Graphs, Vector Stores) and targeted LLM fine-tuning (QLoRA, PeFT) for accurate, zero-hallucination outputs. Technical Competencies: * Agentic & Multi-Modal Frameworks: LangGraph, CrewAI, AutoGen, LlamaIndex, MCP (Model Context Protocol) Server, LiveKit, Pipecat * LLMs & Full-Stack AI: OpenAI API, Anthropic Claude, Llama 3, HuggingFace, PyTorch, Custom Fine-Tuning (SFT, QLoRA), FastAPI, Streamlit * Data Science & Vector Infra: Python, PySpark, Neo4j (Knowledge Graphs), Qdrant, Pinecone, PGVector, PostgreSQL, MongoDB Whether you need a strategic Proof of Concept to secure funding or a production-ready agentic system built for heavy scale, I deliver secure, end-to-end solutions built for ROI.