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I build production-ready AI systems that automate business workflows, transform unstructured data into actionable insights, and replace repetitive manual processes with intelligent automation. I specialize in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Computer Vision, Voice AI, Machine Learning, and workflow automation. My goal is to build scalable AI applications that integrate seamlessly into existing business processes and deliver measurable business value. Recent Projects • Built an industrial computer vision pipeline using YOLOv8 OBB, SORT, PaddleOCR, and ZXing for automated manufacturing line monitoring. • Developed Nexa, a Vapi.ai-powered voice agent that automates appointment scheduling through natural conversations and backend API integrations. • Created IntelliDoc, a multi-document RAG platform using LangChain, FAISS, Hugging Face, and Gemini AI, enabling users to retrieve information from multiple documents using natural language. What I Can Deliver ➤ AI Agents & Chatbots • RAG-based document and knowledge base chatbots using LangChain, FAISS, Hugging Face, and Gemini AI • Custom AI agents powered by OpenAI, Claude, Gemini, and Mistral • Multi-document semantic search and intelligent document Q&A • Voice AI agents using Vapi.ai and Retell AI • Prompt engineering and custom LLM workflows • REST API integrations with third-party platforms ➤ Computer Vision • Real-time object detection and tracking using YOLO and SORT • OCR pipelines using PaddleOCR and ZXing • Image classification using CNNs and Transfer Learning (MobileNetV2) • Facial emotion recognition and AI-powered image analytics • Deep learning solutions using TensorFlow and PyTorch ➤ Workflow Automation • Intelligent automation using Python, n8n, Make, and Zapier • CRM, Gmail, Slack, and API integrations • Lead management, reporting, and business process automation • End-to-end workflow automation to eliminate repetitive tasks ➤ Machine Learning & Data Science • NLP, text classification, predictive modeling, and recommendation systems • Resume-job matching and intelligent document processing • Data preprocessing, feature engineering, and model optimization • Model deployment using Flask, FastAPI, and Django Technical Stack Languages: Python, JavaScript, SQL AI & Machine Learning: OpenAI API, Gemini AI, Claude, Hugging Face, LangChain, FAISS, TensorFlow, PyTorch, Scikit-learn, Keras, LLMs, RAG, NLP, Computer Vision Backend: FastAPI, Flask, Django, React Automation: n8n, Make, Zapier, REST APIs, Workflow Automation, API Integrations Tools & Deployment: Docker, Git, GitHub, Jupyter Notebook, Google Colab, Vapi.ai, Retell AI How I Work Every project starts with understanding your business goals before designing the technical solution. I prioritize clean architecture, scalable development, and production-ready implementations that are easy to maintain and integrate seamlessly into your existing workflows. Whether you need an AI chatbot, a RAG application, a Voice AI agent, a Computer Vision solution, or workflow automation, I build reliable AI systems that improve efficiency, reduce manual effort, and create long-term business value. Available for short-term & long-term projects | Production-Ready AI Solutions | Reliable Communication | Clean Code | Scalable Architecture AI Engineer | LLM | RAG | AI Agents | AI Chatbots | LangChain | OpenAI API | Gemini AI | Claude | Hugging Face | Computer Vision | YOLO | OCR | TensorFlow | PyTorch | NLP | Machine Learning | Voice AI | Vapi.ai | Retell AI | Workflow Automation | n8n | Make | FastAPI | Flask | Django | React | Python | SQL | Docker

I am an AI & Data Engineer with 6 years of experience working inside large-scale enterprises. I specialize in bridging the gap between raw data and scalable AI solutions. My goal is to bring enterprise-grade architecture and security to agile startups and SMBs. I build robust data pipelines, Agentic AI workflows, and cloud infrastructures (GCP/AWS) that power modern LLM applications, RAG systems, and intelligent business automations. How I can help your business: AI & LLM Workflows (RAG): Building production-ready AI agents and chatbots using LangChain/LangGraph, connecting LLMs to your private data (Vector Databases) and external APIs. Business Automation (n8n/Python): Developing automated systems for lead qualification, CRM syncing (HubSpot/GoHighLevel), and omnichannel communication (Twilio voice/SMS bots). Intelligent Data Processing: Moving beyond traditional web scraping. I use AI document processing (OCR/LLM) to extract structured, actionable data from complex PDFs, unstructured emails, and dynamic websites. Cloud Data Engineering & FinOps: Building end-to-end Medallion pipelines, migrating legacy systems to modern cloud stacks (BigQuery/Athena), and streamlining your infrastructure to significantly lower AWS/GCP costs. Core Tech Stack: Python, FastAPI, LlamaIndex/LangChain, Vector DBs (Qdrant, Pinecone), OpenAI/Claude APIs, n8n, Apache Airflow, dbt, SQL, Docker, AWS, GCP. Let's collaborate to build smart, cost-efficient AI and Data solutions that automate your processes and drive your business forward.

I architect and build autonomous AI agent systems -- not chatbot wrappers, but production multi-agent pipelines with real-time orchestration, serving paying customers. Most recently as Co-Founder of Oracia.ai: built a system reaching $10-15K MRR serving 100+ realtors across US and Brazil, processing 1.5M messages in 90 days at sub-200ms. Selected for Web Summit Rio 2026 ALPHA Programme. The architecture: → 9 LangGraph state machines running on a single Cloudflare Worker → Custom parallel branch convergence with graph pause/resume on a stateless runtime → 6-stage message validation pipeline (draft → fact-check → compliance → template selection) → Multi-modal processing at edge: Deepgram STT, Gemini vision/video, OpenAI embeddings → 20+ Cloudflare primitives composed together (5 Durable Objects, 9 KV namespaces, 2 Vectorize indexes, 5 Queues) → Real-time dual-channel delivery via WebSocket + SSE I also fine-tune LLMs — LoRA/QLoRA adapters on Gemini 12B and LLaMA with custom Python training scripts. What I build for clients: • Autonomous AI agents and multi-agent workflows (LangGraph, OpenAI Agents SDK, ReAct loops) • Production LLM pipelines with tool-calling, RAG, and vector search • Edge-first backends on Cloudflare Workers (Durable Objects, Queues, Vectorize, KV, R2) • Full-stack applications with Next.js 15 (React 19), Prisma, Stripe, Clerk • Real-time systems (WebSocket, SSE, WebRTC SFU/MCU architectures) I work US hours from India. Let's build something hard.

Most AI deployments fail after the demo: fragile API wrappers, runaway token bills, and agents that hallucinate the moment real traffic hits them. I'm a Forward Deployed Engineer: I build the infrastructure that survives contact with real users, including secure Model Context Protocol (MCP) servers, minimal-dependency agentic pipelines, and computer vision systems engineered for production, not a Colab notebook. I don't ship wrapper demos or generic chatbots. I connect autonomous AI models to the systems that actually run a business, including databases, legacy infrastructure, and live video feeds, without the hallucinations, security gaps, or token-cost spikes that kill most AI projects right after the pilot. Recent production impact: ★ Trained a dual-model YOLOv8 + EfficientNet-B0 pipeline (0.954 mAP50, 96.3% validation accuracy) for a US sports organization, cutting game-footage review time 70–90% across 1,000+ hours of video ★ Built a GPU-accelerated OCR pipeline for a Texas research firm that turned 20M+ scanned legal records into clean, structured, queryable data ★ Shipped a text-to-SQL analytics chatbot over a 274,000+ row PostgreSQL warehouse on AWS Bedrock, replacing manual analyst lookups with instant, auditable answers ★ Designed Graph-RAG systems using AST and runtime analysis to compute minimal context subgraphs, delivering high-precision retrieval at a fraction of typical token cost ★ Built SnapTeX, an end-to-end pipeline that parses handwritten math and technical diagrams into clean, compilable LaTeX Where I specialize: ★ Agentic orchestration: multi-agent topologies, state machines, and reflection loops that stop autonomous agents from looping, drifting, or executing destructive actions ★ MCP servers: secure, production-grade servers that bridge LLMs to enterprise databases and legacy infrastructure, exposing only what each agent actually needs ★ Computer vision: fine-tuned YOLO-family models (YOLOv8/YOLO11) for real-time detection and tracking, deployed cloud to edge ★ Document intelligence: OCR, batch extraction, and validation pipelines that turn chaotic legacy data into structured, trustworthy records at scale ★ Production infrastructure: Docker, FastAPI, async pipelines, vector databases, secure deployment on AWS Bedrock and Azure Working with me: clean, modular, documented Python with zero dependency bloat. Security-first architecture, with runtime guardrails and role-based access control around anything touching private data. Direct, technical communication about trade-offs, scalability, and cost. I'll tell you when something won't scale before you pay to find out. If you're a founder or technical team dealing with a fragile agent, a data bottleneck, or a workflow that needs to run reliably at real-user scale, not just in a demo, message me and let's talk about it. Tech stack: Python, TypeScript, FastAPI, Next.js, React, Docker, PyTorch, YOLOv8/YOLO11, OpenCV, Computer Vision, Object Detection & Tracking, Machine Learning, Deep Learning, LangChain, Model Context Protocol (MCP), Retrieval-Augmented Generation, AI Agent Development, Large Language Models, Generative AI, Chatbot Development, OpenAI API, AWS Bedrock, MLOps, API Development, PostgreSQL, MongoDB, SQL, Vector Databases, Data Engineering, Data Extraction, OCR, Time Series Forecasting, XGBoost, Streamlit, Apache Spark, Apache Hadoop, Bot Development, GPU Computing, Amazon Web Services, Microsoft Azure

Senior AI Engineer | AI Agents, LLM & RAG | Chatbots, n8n & AI Automation | OpenClaw & Hermes ✅ $40K+ earned · 72 jobs · 680+ hours on Upwork · 8+ years · AWS & MITx certified I build AI systems that RUN OPERATIONS — not just answer questions. ▪️ RAG pipelines that cut support tickets by 40% ▪️ AI agents that qualify leads, make outbound calls & book appointments 24/7 ▪️ Multi-agent workflows that replaced 3 full-time coordinators for a property firm ▪️ Automations that save clients 10–20 hours every week All running in production, without human intervention. That's the gap between a demo and a deployed system — and that's where I work. 🎁 NOT SURE AI FITS YOUR WORKFLOW? I'll build you a free mini-POC — something small and real you can test on your own use case before committing a dollar. ━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🤖 AI AGENTS & MULTI-AGENT SYSTEMS AI agent development with LangChain, LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, Google ADK, and PydanticAI. Custom MCP servers connecting agents to databases, APIs, CRMs, and internal tools. Persistent memory, autonomous task execution, and multi-agent delegation. ⚙️ AI AUTOMATION & INTEGRATIONS n8n, Make com, and Zapier Deep GoHighLevel, HubSpot, Salesforce, and Pipedrive integration. End-to-end CRM workflows, lead routing, appointment booking, and AI built into the tools your business already runs on. 💬 AI CHATBOTS Production chatbots powered by ChatGPT, Claude, and Gemini — deployed on WhatsApp, Telegram, Instagram, web widgets, and SMS. Lead qualification, appointment booking, FAQ deflection, and 24/7 support, integrated with GoHighLevel, HubSpot, and Salesforce. 📚 RAG & LLM APPLICATIONS Production RAG pipelines with LangChain, LlamaIndex, Pinecone, Weaviate, Qdrant, ChromaDB, and pgvector. Enterprise knowledge bases, PDF chatbots, document AI, and semantic search deployed for legal, medical, real estate, and finance clients. 🚀 AI SaaS & MVPs Full-stack Generative AI platforms shipped in weeks. Next.js, React, Python, FastAPI, Supabase, and Stripe. Architecture to deployment on AWS, GCP, and Vercel. 🗣️ VOICE AI AI receptionists and SDR callers with Vapi, Retell AI, ElevenLabs, Deepgram, and Twilio — booking and qualifying leads 24/7. 🧠 SPECIALIST EDGE: I also deploy and customize OpenClaw and Hermes Agent for production — SOUL.md design, ClawHub skills, MCP bridges, persistent memory, and multi-channel deployment. Plus LLM fine-tuning (LoRA, QLoRA) and inference optimization (vLLM, TGI) when projects need it. ━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🛠️ STACK OpenAI / Claude / Gemini / Mistral / Llama / DeepSeek | Python, FastAPI, Node.js, Django | React, Next.js | PostgreSQL, MongoDB, Redis, Supabase | Docker, Kubernetes, AWS, GCP 🏢 INDUSTRIES Real Estate, Healthcare, Legal, E-commerce, Finance, Insurance, Marketing Agencies, SaaS, Education, Recruiting ━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ HOW I WORK 1. Scoping call → understand your problem 2. Architecture → design the right system 3. Fast prototype → working demo in days 4. Production hardening → scale, security, monitoring 5. Documentation & handoff → your team owns it 💬 SEND ME YOUR IDEA — even rough notes. I'll give you an honest take: how I'd build it, what it realistically takes, and whether AI is even the right call (sometimes it's overkill — I'll tell you straight). If it's a fit, I'll show you a working mini-POC before you commit a dollar. Let's build something that actually runs.

𝗜 𝗯𝘂𝗶𝗹𝗱 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝘀𝗮𝘃𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 $30𝗞–$40𝗞 𝘆𝗲𝗮𝗿𝗹𝘆 𝗯𝘆 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗻𝗴 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀, 𝘀𝗮𝗹𝗲𝘀, 𝗮𝗻𝗱 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 I have partnered with 10+ companies across real estate, healthcare, social media, education, manufacturing, cybersecurity, and enterprise SaaS to deploy production-ready AI agents that handle calls, schedule appointments, and send real-time notifications to owners for important emails. These are fully operational systems running 24/7. 𝐑𝐞𝐚𝐥-𝐰𝐨𝐫𝐥𝐝 𝐬𝐮𝐜𝐜𝐞𝐬𝐬𝐟𝐮𝐥 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐬 𝐛𝐲 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲: ➞ 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 — Voice AI receptionist that answers calls and texts 24/7, books appointments, and qualifies leads automatically · Helps businesses stop missing customers, reduce response delays, and free up teams to focus on sales · Trusted by 500+ businesses, with 2M+ conversations handled, 5,000+ appointments booked, $2.5M+ client savings, and 99% uptime. ➞ 𝐇𝐞𝐚𝐥𝐭𝐡 𝐀𝐈 — Built 𝐀𝐈 𝐦𝐞𝐞𝐭𝐢𝐧𝐠𝐬 into appointments and developed an AI agent that listens to consultations, drafts prescriptions for physicians, and generates clear action lists for patients automatically ·𝐩𝐚𝐭𝐢𝐞𝐧𝐭𝐬 𝐬𝐚𝐯𝐞𝐝: 30+ by AI agents through continuous recovery-plan monitoring and early provider alerts when health dropped below the threshold · 𝐝𝐨𝐜𝐭𝐨𝐫 𝐡𝐨𝐮𝐫𝐬 𝐬𝐚𝐯𝐞𝐝: 5/week by reducing prescription-writing and routine documentation time. ➞ 𝐂𝐍𝐂 𝐈𝐧𝐬𝐩𝐞𝐜𝐭𝐢𝐨𝐧 — AI-powered system that captures images of each finished part, compares them with drawings, and creates smart inspection reports · 𝐒𝐚𝐯𝐞𝐝 15 𝐡𝐨𝐮𝐫𝐬/𝐰𝐞𝐞𝐤 by cutting manual work and reducing errors · Uses computer vision and Claude to make quality checks faster, easier, and more accurate. 𝐒𝐤𝐢𝐥𝐥𝐬 & 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤: ✅ 𝐀𝐈 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧: LangChain, LangGraph, LlamaIndex, Pydantic AI, Google ADK, OpenAI API, Claude, AWS Bedrock, Vertex AI, MCP Servers ✅ 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈: AI Agents, Multi-Agent Frameworks, Agentic Workflows, Workflow Orchestration, Autonomous AI Systems ✅ 𝐕𝐨𝐢𝐜𝐞 & 𝐒𝐩𝐞𝐞𝐜𝐡 𝐀𝐈: Retell AI, OpenAI Realtime API, OpenAI TTS, ElevenLabs, Whisper, Voice AI Agents, Speech-to-Text, Text-to-Speech ✅ 𝐑𝐀𝐆 & 𝐕𝐞𝐜𝐭𝐨𝐫 𝐃𝐁𝐬: RAG Pipelines, Pinecone, Weaviate, ChromaDB, Azure AI Search, Amazon OpenSearch, Hybrid Search ✅ 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞: PDF Parsing, OCR, PO Automation, Document Q&A, ERP Integration, NetSuite, Oracle ✅ 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲: LangSmith, Logfire, Phoenix Arize, Deep Eval, LLM Evaluation, Prompt Testing ✅ 𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: Prompt Design, Chain-of-Thought, Prompt Chaining, System Prompt Architecture, Prompt Optimization, Structured Outputs, Function Calling. ✅ 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐌𝐨𝐝𝐞𝐥𝐬: GPT-4o, GPT-4 Turbo, GPT-o1, GPT-o3, Claude Sonnet, Claude Opus, Claude Haiku, Gemini 1.5 Pro, Gemini 2.0 Flash, Whisper, ElevenLabs ✅ 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 & 𝐈𝐧𝐟𝐫𝐚: Python, FastAPI, Django, Flask, Docker, Kubernetes, AWS, Azure, GCP, DigitalOcean ✅ 𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝: React, Next.js, Streamlit ✅ 𝐃𝐚𝐭𝐚: PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, Celery, ETL, Data Pipelines ✅ 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬: HubSpot, Salesforce, NetSuite ERP, Zapier, Make, Slack, MS Teams, Stripe, REST, GraphQL