Shubham R.

I build AI automation systems that eliminate manual bottlenecks, connect siloed tools, and speed up critical decisions so your team can focus on work that actually moves the business forward. As an AI automation engineer specialising in agentic workflows and LLM integration, I've deployed production systems across healthcare, SaaS, marketing, and e-commerce. My builds have cut manual processing time by 70-80%, saved teams 15-20 hours of manual work per week, and reduced support resolution time by 50% with zero ongoing maintenance required on your end. Here's what I build: 1. Agentic AI and multi-agent systems:- Custom agentic workflows using LangGraph, CrewAI, and AutoGen. AI agents that reason, plan, and execute across APIs, databases, and third-party tools without hand-holding. Built for repetitive decision workflows that currently need a human at every step. 2. RAG pipelines and AI knowledge bases:- Semantic search and document intelligence using Pinecone, Qdrant, and pgvector. RAG systems that surface the right answer from thousands of documents in under two seconds. Deployed for enterprise Q&A, medical knowledge bases, and support teams drowning in unstructured data. 3. LLM integration and custom AI solutions:- End-to-end LLM integration using GPT-4o, Claude, and Gemini, from API connections and prompt engineering to fine-tuning pipelines. Whether you need an AI assistant, a document processor, or a decision engine, I build it directly into your existing stack. 4. Voice agents and conversational AI:- Inbound and outbound voice agents built on ElevenLabs, Whisper, and Deepgram. Around-the-clock lead qualification, inbound call handling, and real-time call intelligence. Production-grade, not toy demos. 5. ML automation and predictive pipelines:- Predictive scoring, classification, and anomaly detection deployed via FastAPI. Replaces manual data review with model-driven triage that shrinks human review queues by 60-75% from day one. 6. CRM and workflow automation:- HubSpot, Zoho, and Salesforce automation with n8n, Make, and Zapier. Agentic workflow orchestration and cross-platform sync using RAG-backed routing logic that runs without a human in the loop, eliminating 15-20 hours of manual work per team per week. How I work: I start with your problem, not a framework. Before recommending anything, I want to understand what's actually breaking and why. From there I scope a proof of concept, test it against your real data, and build something your team can own and extend. Not a black box only I can operate. If a simpler solution fits, I'll say so. If your automation problem is actually an ML problem, we catch that before it costs you a month of rebuilding. The goal is always the right solution, not the most impressive-sounding one. Send me a message with what you're trying to automate or build. I'll give you an honest read on whether AI is the right approach, what it would actually take, and whether I'm the right fit before you commit to anything.