Bharadwaj S.

Need AI Transformation for your business or enterprise ? Have a pile of documents, or a process eating your team's week, that you know AI should handle, but every attempt so far has been a demo nobody trusts? I am your AI guy ! Hi, I'm Bharadwaj. Over the past years I've taken enterprise AI from idea to production for a Fortune 500 manufacturer, a healthcare product that has handled 17,000 calls, and a SOC 2 Type II fintech. I'm certified in RAG quality by Maven, and I hold Top Rated Plus with 100% Job Success. Anyone can build an AI system now, so can I. But AI projects don't die on the software/code layer. They die in the gaps between your vision and your engineer's lack of understanding: the silent week, the scope that quietly drifts, the "almost done" that never ships, the dev who goes dark the moment it gets hard. This is how I'm different. I run your build like a founder who owns the outcome. Replies in hours. A working slice you can test every week. Honest answers, including "that is a bad idea, and here is why," before you spend a dollar on it. You always know where your build stands and what comes next. The hard engineering still happens underneath: every answer cites its source, evaluations run from day one, and I ship under HIPAA or SOC 2 with a signed BAA when your data is regulated. But on a real build, clear communication is what actually ships it. What clients say: "He is one gun AI ML developer. Our new permanent for all AI ML and Python work in future." - Upwork client (5.0) Last updated: 1st August 2026 → Results: - Certified in RAG quality (Maven, Systematically Improving RAG Applications) - Shipped enterprise AI into production under HIPAA and SOC 2 Type II - Cited, multilingual RAG for a Fortune 500 manufacturer - A HIPAA voice system that has handled 17,000 calls - A back-office automation that cut a 4-person, roughly $200,000-a-year task by 80 to 90 percent - 4,406 hours delivered, 5.0 across 19 reviews, 1,600-hour contracts held with 100% client satisfaction. → How I help you: - Validate your AI architecture before you spend a dollar on the wrong stack - Build cited RAG your team actually trusts, over your own documents - Engineer out hallucinations with real evaluation, not vibes - Handle PHI and regulated data under HIPAA or SOC 2, and sign a BAA - Let non-technical staff query your database in plain English with text-to-SQL - Automate the manual, repetitive work quietly eating your team's hours Here is everything I have experience in: → RAG and Retrieval Enterprise RAG, Retrieval Augmented Generation, GraphRAG, multimodal RAG, chunking and embedding strategy, reranking, hybrid search, source citation, hallucination control, permission-aware retrieval, LlamaIndex, LangChain, PropertyGraphIndex, Neo4j → AI Agents and Orchestration LangGraph, CrewAI, AutoGen, MCP servers, multi-agent systems, agentic workflows, tool calling, long-term memory, workflow orchestration. → Voice AI LiveKit, Twilio, Whisper, Eleven Labs, WebRTC, inbound receptionist, outbound calling, telephony, real-time transcription, structured extraction from audio, call analytics → LLMs and Fine-Tuning GPT, Claude, Llama, Gemma, DeepSeek, Mistral, prompt engineering, structured outputs, function calling, reinforcement fine-tuning, LLM fine-tuning, Hugging Face → Vector Databases Pinecone, Qdrant, Chroma, Weaviate, pgvector, Azure AI Search → Evaluation and Observability RAGAS, LangSmith, Langfuse, golden-set evaluation, regression testing, LLM evaluation, prompt testing → Document AI and Extraction PDF, Word, Excel, and PowerPoint ingestion, OCR, table detection, structured extraction, text-to-SQL, invoice and report processing, deduplication → Microsoft and Enterprise Stack Azure, Azure OpenAI, MS Graph, Teams, Outlook, OneDrive, SharePoint, Office 365, single sign-on, Active Directory → Compliance and Security HIPAA, SOC 2 Type II, BAA, RBAC, PHI handling, audit logging, prompt-injection defense, data governance, GDPR-aligned architecture → Backend and Infrastructure Python, FastAPI, Django, Flask, Node.js, Docker, Kubernetes, AWS, Azure, GCP, CI/CD → Data PostgreSQL, MongoDB, Redis, Elasticsearch, data pipelines, ETL → Integrations Salesforce, HubSpot, QuickBooks, Plaid, Stripe, Slack, REST, GraphQL, webhooks → Industries I've built for: Manufacturing, Healthcare, Fintech, Insurance, Logistics and Shipping, Corporate Housing, Legal, Retail and Luxury, SaaS If you're serious about getting AI into production, let's talk. One call can save you a six-month science project and tens of thousands on the wrong build. Tell me the documents your team keeps re-reading or the task eating their week, and I'll send back a short Loom within 24 hours with the architecture and what it saves. Bharadwaj S. | Enterprise AI Engineer