Hire the Best Batch Normalization Specialists

Did you know businesses lose 30–40% of productive hours to tasks that AI Agents can handle automatically 24/7, without error, without overtime? I build production-grade AI Agent systems that eliminate manual work, automate complex workflows, and integrate directly into your existing tools and operations. From LangGraph multi-agent pipelines to n8n automation and real-time voice agents — everything I deliver goes into production, not just a demo. 100% Job Success Score · Top Rated on Upwork · 10+ production deployments across real estate, healthcare, SaaS, and service businesses. ✅ What You'll Gain by Working With Me: 💰 Cut Operational Costs Replace expensive manual workflows with AI agents that scale. My systems reduce support overhead, automate lead handling, and eliminate data entry — while improving speed and accuracy across your operations. ⏱ Save Your Team Hundreds of Hours Free your team from repetitive tasks. My agents handle customer queries, document search, lead qualification, appointment booking, and CRM updates — instantly and accurately, around the clock. 📈 Scale Without Hiring AI agents operate 24/7 without fatigue. Scale your support, sales, and operations withoutincreasing headcount or overhead. 🎯 Smarter Customer Experiences Deploy always-available AI agents that give your customers real-time answers, handle inquiries, and guide them through your process — with zero wait time. 🔄 Deep Integrations, Not Just Chatbots I connect your AI agents directly to your CRM, APIs, databases, and internal tools — so everything runs seamlessly in the background without manual handoffs. 🧠 What I Build: AI Agent Systems (LangGraph) Multi-step agentic workflows with tool routing, memory, and real API integrations — far beyond simple chatbots RAG Knowledge Agents Agents trained on your documents, FAQs, and databases that retrieve accurate answers instantly Workflow Automation (n8n · Make) End-to-end pipelines connecting your tools, CRM, webhooks, and APIs with zero manual intervention Voice AI Agents (Retell AI · Vapi · Twilio) AI phone agents that answer calls, qualify leads, book appointments, and trigger follow-up actions automatically WhatsApp & Messaging Agents AI agents connected to WhatsApp Business API, Telegram, and Slack — handling inquiries, orders, and support CRM Automation (GoHighLevel · HubSpot) Smart lead routing, pipeline management, follow-up sequences, and contact syncing running automatically 🛠 Tech Stack: Agents & AI: LangGraph · LangChain · OpenAI API · RAG pipelines · Prompt Engineering Automation: n8n · Make · Zapier · Webhooks Voice: Retell AI · Vapi · Twilio · LiveKit · ElevenLabs · WebRTC Messaging: WhatsApp Business API · Telegram · Slack Backend: Python · FastAPI · Supabase · PostgreSQL CRM: GoHighLevel · HubSpot · Salesforce 📊 Results From Real Deployments: ✅ LangGraph AI Agent: Automated 7-intent WhatsApp ordering system for a restaurant client zero manual order handling ✅ Voice AI Pipeline: Built self-hosted voice agent at $0.02/min vs $0.08–$0.10/min with third-party providers — 75% cost reduction for the client ✅ RAG Knowledge Agent: Deployed on cloud platform reduced internal query resolution time by 60% ✅ Outbound Voice Agent: Built AI staffing pipeline that autonomously contacts candidates qualifies them, and updates CRM — replacing 40+ hours/week of manual outreach ✅ Computer Vision Pipeline: Real-time YOLO-based detection system deployed on edge hardware for industrial monitoring 💼 Who I Work Best With: Startups building AI-first products or MVPs SaaS companies adding LLM features to existing platforms Service businesses automating sales and support ops Agencies needing white-label AI agent builds Founders who want production systems, not prototypes 📦 What You Get: Custom AI Agent built specifically for your use case Clean, documented, production-ready code Full integration with your tools, APIs, and workflows Testing with your real data before handoff Deployment-ready — hosted or self-hosted Optional ongoing support and optimisation 🚀 Let's Build Your AI Agent System Whether you need a LangGraph agentic workflow, an n8n automation pipeline, a RAG knowledge base, or a voice AI agent — I'll design and deploy a system that delivers real, measurable business impact. 📩 Send me a message or click "Invite to Job" let's talk about what we can automate for you. AI voice agent development, AI voice agents, custom AI voice agents, AI phone agents, conversational AI, voice AI development, AI call automation, AI IVR systems, Twilio voice, Twilio IVR, Twilio automation, Retell AI, Retell AI development, Vapi AI, Vapi voice agents, LiveKit voice AI, WebRTC voice agents, real-time voice AI, AI receptionist systems, Claude Code, Claude Code automation, Claude Code AI agents, Claude Code workflows, Claude Code prompt engineering, Claude Code integrations, Claude Code API integration whatsapp bot

Most service businesses I work with — agencies, clinics, law firms, and e-commerce operations. They don't have an AI problem, they have an implementation problem. They know AI can help automate workflows, handle calls, and process documents, but prototypes don't ship, integrations break, and nothing runs in production. I fix that. I've worked across enough industries to know exactly what breaks and how to build around it. Voice agents that handle real calls, RAG systems connected to live business data, document pipelines that eliminate manual entry, workflow automation that runs without babysitting. Whatever the use case, I build it production-ready from day one. What I work on: ✦ AI Workflow Automation: Invoices, tickets, lead research, email drafting all automated and connected to your existing tools. ✦ Voice AI Agents: Full pipeline builds covering wake word, STT, LLM logic, and TTS. Low latency and production-ready. ✦ RAG Systems & Knowledge AI: Connecting AI to your private data, documents, Notion, Google Drive, or SQL databases. ✦ Custom LLM Agents: Autonomous agents that coordinate workflows, process data, and take action independently. ✦ AI Strategy & Implementation: Identifying where AI creates real ROI before writing a single line of code. ✦ Computer Vision & ML: Object detection, classification, and custom ML pipelines for retail and manufacturing use cases. Why clients come back: I don't hand off a build and disappear. Once a system goes live, I stay close; catching edge cases, handling integrations that shift, and making sure what I built keeps working the way it should. Most of my clients come back not because the first project failed, but because it worked and they want more of it. ✦ Systems delivered on time, integrated cleanly, and documented so your team can actually use them, not just admire them. ✦ Real operational impact — reduced processing time, fewer manual handoffs, and workflows that run without someone babysitting them. ✦ Clear communication throughout, you always know what's being built, why, and what comes next. No surprises, no ghosting. 🔧 Tech I work with daily: GPT-4o | Claude | Gemini | Llama 3 | LangChain | LangGraph | CrewAI | n8n | Make | Zapier | Pinecone | Weaviate | FAISS | FastAPI | OpenCV | PyTorch | ElevenLabs | Whisper| Vapi and more. Case Studies: - Built a RAG assistant that freed a support team from repetitive queries entirely. - Deployed a real time voice AI agent handling inbound calls end to end. - Built a lead research agent that moved a sales team from prospecting to closing. - Automated invoice and contract processing, eliminating manual data entry completely. - Set up an internal knowledge assistant that got staff answers in seconds. 💡 Ready to build something that actually works? Most AI projects stall at the prototype stage. If you're done experimenting and want a system that runs in production, send me a message. I'll look at your use case and tell you exactly how I'd build it.

Need accurate, high-quality labeled datasets for your computer vision or machine learning model? I'm a Top Rated AI Data Annotation Specialist with hands-on expertise in CVAT, Roboflow, Label Studio, and LabelMe. I help AI teams, ML startups, computer vision researchers, and data operations teams build clean, accurate, model-ready training datasets and I help B2B businesses generate qualified leads through verified prospect lists. ⭐ 𝗖𝗢𝗥𝗘 𝗦𝗘𝗥𝗩𝗜𝗖𝗘𝗦 ➤ AI DATA ANNOTATION & IMAGE LABELING - Image annotation using CVAT (bounding boxes, polygons, semantic segmentation, keypoint) - Object detection labeling for ML model training - Medical image labeling for healthcare AI datasets - Video frame annotation - Dataset preparation, quality validation, and review - Labeling guidelines documentation - Tools: CVAT, Roboflow, Label Studio, LabelMe, Supervisely Recent AI annotation projects: 1,072+ hours labeling vehicle/RV images for Camping World, medical image labeling for a Roboflow client, large-scale object detection datasets. Both projects received "Endorsed by client" badges. ➤ B2B LEAD GENERATION & PROSPECT LIST BUILDING - Verified B2B contact lists (name, email, phone, LinkedIn, company) - Decision-maker research (CEO, founder, director, VP) - LinkedIn Sales Navigator prospecting - Apollo, Hunter, ZoomInfo lead sourcing - Email verification (NeverBounce, ZeroBounce, Bouncer) - Industries: SaaS, eCommerce, real estate, healthcare, agencies, professional services ➤ DATA ENTRY, WEB RESEARCH & CRM MANAGEMENT - Spreadsheet data entry (Excel, Google Sheets) - CRM data entry, cleaning, and migration (HubSpot, Salesforce, GoHighLevel, Zoho, Airtable, ClickUp) - PDF to Excel / CSV conversion - Web research and company data collection - Real estate data research (Zillow, Redfin, Realtor) - Database management and contact enrichment 𝗪𝗛𝗬 𝗖𝗟𝗜𝗘𝗡𝗧𝗦 𝗪𝗢𝗥𝗞 𝗪𝗜𝗧𝗛 𝗠𝗘 - Top Rated on Upwork with consistent 5-star reviews - IBM Lead Generation & Data Entry Specialist Certified - DeepLearning AI Data Annotation & Computer Vision Certified - 1,500+ hours of CVAT annotation experience - 98%+ accuracy on every project - Clear daily communication, fast turnaround, no missed deadlines - Long-term collaboration and most clients work with me for 6+ months ⭐ 𝗛𝗢𝗪 𝗜 𝗪𝗢𝗥𝗞 1. I review your project requirements, dataset, and quality guidelines 2. I produce a small sample first so you can verify accuracy before scaling 3. I work in batches with regular quality checkpoints 4. I deliver structured, error-free output ready for immediate use 5. Final QA review before submission ⭐ 𝗧𝗢𝗢𝗟𝗦 𝗜 𝗨𝗦𝗘 𝗗𝗔𝗜𝗟𝗬 ➤ Annotation: CVAT, Roboflow, Label Studio, LabelMe, Supervisely ➤ Lead generation: LinkedIn Sales Navigator, Apollo, Hunter, Snov, ZoomInfo ➤ Data: Microsoft Excel (advanced), Google Sheets, Airtable ➤ CRM: HubSpot, Salesforce, GoHighLevel, Zoho, ClickUp, Notion ➤ Email verification: NeverBounce, ZeroBounce, Bouncer ➤ Real estate: Zillow, Redfin, Realtor, Facebook Marketplace If you need an accurate, ai data annotation specialist for your AI dataset or a reliable lead generation specialist for your B2B outreach, send me a message describing your project. I respond within a few hours and offer a free sample for first-time clients. Thank you for visiting my profile. Cheers Ayesha

I design and build intelligent systems powered by AI, machine learning, and automation that help businesses eliminate manual work, improve decision-making, and scale operations efficiently. My focus is on building production-grade AI systems, not just prototypes solutions that are reliable, scalable, and integrated directly into real business workflows. 𝐖𝐇𝐀𝐓 𝐈 𝐁𝐔𝐈𝐋𝐃 ▶︎ AI Agents & Intelligent Systems Custom AI agents, copilots, and automation workflows using LLMs (GPT-5.1, Claude, Gemini, LLaMA, DeepSeek, Grok). I build systems for lead qualification, customer support, document processing, research automation, and decision-making workflows. ▶︎ Machine Learning & Deep Learning Solutions Data-driven models for prediction, classification, NLP, and automation use cases. Focus on practical ML systems that integrate into production environments, not just offline experiments. ▶︎ Workflow Automation & System Design End-to-end automation using n8n, Make, Zapier, and Python-based orchestration. I connect CRMs, APIs, databases, and internal tools into unified automated systems. ▶︎ API Integrations & Backend Engineering Robust integrations using REST APIs, webhooks, and custom Node.js / Python services. I build systems that connect platforms seamlessly and handle real-time data flow. ▶︎ AI-Driven CRM & Data Systems HubSpot, Salesforce, GoHighLevel, Pipedrive, Airtable, Supabase, PostgreSQL. Automated pipelines, smart segmentation, dashboards, and real-time reporting systems. 𝐓𝐄𝐂𝐇 𝐒𝐓𝐀𝐂𝐊 𝐀𝐈 / 𝐌𝐋: GPT-5.1 • Claude Opus/Sonnet • Gemini 3 • LLaMA 4 • DeepSeek-R1 • Grok 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 / 𝐀𝐈 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: LangChain • LangGraph • RAG Pipelines • Vector Databases (pgvector) 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: n8n • Make • Zapier • Python 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 & 𝐀𝐏𝐈𝐬: • Python • REST APIs • Webhooks 𝐃𝐚𝐭𝐚 & 𝐈𝐧𝐟𝐫𝐚: PostgreSQL • Supabase • Airtable • Notion 𝐀𝐈 𝐕𝐨𝐢𝐜𝐞 / 𝐌𝐞𝐝𝐢𝐚 (𝐢𝐟 𝐧𝐞𝐞𝐝𝐞𝐝): Vapi • Synthflow • Retell • RunwayML 𝐒𝐜𝐫𝐚𝐩𝐢𝐧𝐠 & 𝐃𝐚𝐭𝐚 𝐄𝐱𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧: Playwright • Apify • FireCrawl • Browser Automation 𝐖𝐇𝐘 𝐂𝐋𝐈𝐄𝐍𝐓𝐒 𝐖𝐎𝐑𝐊 𝐖𝐈𝐓𝐇 𝐌𝐄 🟢 𝐒𝐭𝐫𝐨𝐧𝐠 𝐀𝐈 + 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐛𝐚𝐜𝐤𝐠𝐫𝐨𝐮𝐧𝐝 I combine machine learning understanding with real-world system design and backend development. 🟢 𝐅𝐨𝐜𝐮𝐬 𝐨𝐧 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 I build scalable, maintainable AI solutions not demos or fragile automations. 🟢 𝐅𝐮𝐥𝐥-𝐬𝐭𝐚𝐜𝐤 𝐬𝐲𝐬𝐭𝐞𝐦 𝐭𝐡𝐢𝐧𝐤𝐢𝐧𝐠 From data pipelines to AI logic and API integrations, I handle the complete architecture. 🟢 𝐂𝐥𝐞𝐚𝐫 𝐜𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧 & 𝐞𝐱𝐞𝐜𝐮𝐭𝐢𝐨𝐧 Fast iteration, structured thinking, and reliable delivery. 𝐋𝐄𝐓’𝐒 𝐁𝐔𝐈𝐋𝐃 𝐈𝐍𝐓𝐄𝐋𝐋𝐈𝐆𝐄𝐍𝐓 𝐒𝐘𝐒𝐓𝐄𝐌𝐒 If you're looking for an AI Engineer who can design and build real-world AI agents, automation systems, or ML-powered workflows that integrate directly into your business, I’d be glad to collaborate.

Stop Wasting Millions on AI Models Crippled by Bad Data. Your AI model is only as powerful as its training data. Inconsistent data annotations sabotage performance, costing you weeks and millions in lost ROI. If your team is cleaning Machine Learning datasets instead of building, you need a better solution. As a Top Rated Plus expert, I deliver Training Ready Intelligence. My mission: transform your raw training data into high fidelity, structured assets for peak AI model performance in Computer Vision, NLP, and Machine Learning. I specialize in clean, reliable data annotation for images, video, and text. I ensure data quality directly impacts your model accuracy and bottom line. I've managed massive data labeling projects, consistently exceeding expectations. Why elite AI teams choose me: Guaranteed Accuracy: 100% pipeline ready data annotation, every time. No re work, no debugging. Zero Management Overhead: You define; I execute with precision and autonomy. Focus on AI development, not data prep. Accelerated ROI: Cut training cycles, deploy faster. Transform raw data into a competitive advantage. My Core Expertise: Image Annotation: Bounding Box, Polygon, Semantic Segmentation, Keypoint (Computer Vision) Video Annotation: Object Tracking, Event Detection (Computer Vision) Text Annotation: NER, Sentiment Analysis, Classification (NLP) Data Labeling & Dataset Preparation Ready to elevate your AI project? Click Message. Let's build the robust training data foundation your AI models deserve. Stop settling for "good enough" data annotation; get it right the first time. Best Regards, Parwiz

Last project: a multi-agent system that handles end-to-end case evaluation for a legal client, replacing what used to be hours of manual review. That's the kind of problem I like — turning a messy, manual workflow into a reliable automated system. I'm a Senior AI Engineer (5+ years) specializing in RAG pipelines, multi-agent architectures, and production LLM systems — from whiteboard to AWS deployment. Recent work: Built a multi-agent legal AI system — a conversational intake agent that evaluates cases and recommends outcomes in real time Designed a RAG pipeline over a dense regulatory corpus, cutting document retrieval time by 60%+ Built an e-commerce shopping agent (Amazon/eBay) using LLM-based intent classification — replacing hardcoded category logic with a dynamic query mapper Shipped scalable AI APIs handling thousands of daily requests at sub-200ms latency What I bring beyond code: I scope projects like a product engineer first — defining what "done" actually means (POC vs. production-ready) before writing a line of code. That means clearer expectations, fewer pivots, and timelines that hold. Stack: Languages: Python, Node.js LLM frameworks: LangChain, LlamaIndex, OpenAI, Claude, HuggingFace, Ollama Vector DBs: Pinecone, Weaviate, ChromaDB, pgvector Agent frameworks: AutoGen, CrewAI, LangGraph Cloud & MLOps: AWS (SageMaker, Bedrock, Lambda, S3, EC2), Docker, FastAPI Databases: PostgreSQL, MongoDB, Redis Search: Elasticsearch, FAISS Bonus: I also work fluently across English, French, and Arabic — useful if your project involves multilingual content, MENA markets, or non-English document corpora. I work autonomously and communicate proactively — you'll know exactly where a project stands at every stage, with no surprises near a deadline. If you need an AI engineer who can own both technical architecture and product judgment — let's talk.