Hire the Best GraphPad Prism Professionals

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

𝗜 𝗯𝘂𝗶𝗹𝗱 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗿𝗲𝗮𝗱𝘆 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝗽𝗮𝘆 𝗳𝗼𝗿 𝘁𝗵𝗲𝗺𝘀𝗲𝗹𝘃𝗲𝘀: I saved a fintech client €𝟰𝟬,𝟬𝟬𝟬 𝗽𝗲𝗿 𝘆𝗲𝗮𝗿 by automating their KYC pipeline (𝟵𝟵%+ 𝗲𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻 𝗮𝗰𝗰𝘂𝗿𝗮𝗰𝘆) and cut clinical documentation time by 𝟲𝟬% with an AI medical scribe inside a live EMR platform. If you have messy documents, manual workflows, or an agent or chatbot idea that needs to actually work in production, not just in a demo, I can ship it fast without sacrificing accuracy or scalability. 𝗪𝗛𝗔𝗧 𝗜 𝗕𝗨𝗜𝗟𝗗 🔹 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 & 𝗠𝘂𝗹𝘁𝗶 𝗔𝗴𝗲𝗻𝘁 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: autonomous, decision making agents with LangChain, LangGraph and CrewAI that automate real backend processes: document review, support, lead handling, internal ops. 🔹 𝗥𝗔𝗚 𝗖𝗵𝗮𝘁𝗯𝗼𝘁𝘀 & 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁𝘀: retrieval augmented generation chatbots over your PDFs, docs and databases. Hybrid GraphRAG (Neo4j) plus vector search for grounded, accurate answers with strict guardrails against hallucination. 🔹 𝗢𝗖𝗥 & 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗔𝗜: invoice, ID and form data extraction with PaddleOCR, AWS Textract, YOLO and LayoutLM. 𝟵𝟵%+ 𝗲𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻 𝗮𝗰𝗰𝘂𝗿𝗮𝗰𝘆 on IDs, invoices, tables and unstructured documents. 🔹 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗔𝗜 & 𝗘𝗠𝗥 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: HIPAA compliant medical scribes (Whisper speech to text, speaker diarization, auto generated SOAP notes and ICD 10 codes), wound analysis computer vision, clinical RAG with PII redaction. 🔹 𝗞𝗬𝗖 & 𝗜𝗱𝗲𝗻𝘁𝗶𝘁𝘆 𝗩𝗲𝗿𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻: document localization, MRZ parsing, ArcFace biometric matching, liveness detection, real time transaction risk engines. 𝗥𝗘𝗦𝗨𝗟𝗧𝗦 𝗖𝗟𝗜𝗘𝗡𝗧𝗦 𝗣𝗔𝗜𝗗 𝗙𝗢𝗥 €𝟰𝟬𝗞 𝗽𝗲𝗿 𝘆𝗲𝗮𝗿 𝘀𝗮𝘃𝗲𝗱: automated fintech KYC pipeline (OCR plus face match plus verification agents) 𝟲𝟬% 𝗹𝗲𝘀𝘀 𝗱𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝘁𝗶𝗺𝗲: AI medical scribe running in a production EMR 𝟰𝟬% 𝗮𝗰𝗰𝘂𝗿𝗮𝗰𝘆 𝘂𝗽𝗹𝗶𝗳𝘁: hybrid GraphRAG retrieval for complex financial queries 𝟭𝟬𝘅 𝗳𝗮𝘀𝘁𝗲𝗿 𝗱𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴: logistics and finance workflows 𝗦𝘂𝗯 𝟮𝟬𝟬𝗺𝘀 𝗿𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 𝗹𝗮𝘁𝗲𝗻𝗰𝘆: FastAPI microservices with Redis caching 𝗧𝗘𝗖𝗛 𝗦𝗧𝗔𝗖𝗞 Python, FastAPI, Docker, AWS, GCP | LangChain, LangGraph, CrewAI, OpenAI, Claude, Hugging Face | Pinecone, FAISS, Weaviate, Neo4j, MongoDB, Redis | OpenCV, YOLO, PaddleOCR, Tesseract, LayoutLM | PyTorch, TensorFlow 𝗛𝗢𝗪 𝗜 𝗪𝗢𝗥𝗞 Fast execution with production discipline: clear milestones, regular updates, clean documented code, containerized deployment. I use modern AI dev tooling (including Claude Code) to ship in days what normally takes weeks, without cutting corners on architecture. If you want an AI system that works in production, send me an invite or message and let's scope it in a quick call. 𝗞𝗲𝘆𝘄𝗼𝗿𝗱𝘀: AI Engineer, AI Agent Developer, AI Agents, Multi Agent Systems, RAG, Retrieval Augmented Generation, Chatbot Development, LLM Integration, GPT 4o, Claude, LangChain, LangGraph, CrewAI, OCR, Document AI, Data Extraction, Computer Vision, Healthcare AI, EMR Automation, KYC Automation, Identity Verification, NLP, Python, FastAPI

Software Engineer with 4+ years of engineering experience specializing in enterprise data infrastructure and large-scale web automation systems. 🎯 Core Competencies: • Agentic Workflows & AI Automation: Architecting complex, stateful multi-agent systems using LangGraph, CrewAI, and n8n. Designing self-healing loops, autonomous error recovery, and tool-calling validation pipelines with exceptional reliability. • Multimodal AI Vision & Agentic OCR: Implementing cutting-edge visual parsers (LlamaParse, Docling, GPT-4o Vision, Azure AI Document Intelligence) to extract schema-compliant JSON data from visually dense documents, complex tables, and unseen invoice layouts. • Anti-Detection Engineering & AI-Bypass: Bypassing enterprise security barriers (Cloudflare, Akamai, DataDome), TLS/HTTP2 fingerprint matching, and rotating residential proxy routing. • Production-Grade Data Infrastructure: Engineering highly scalable, distributed scraper fleets capable of handling over 10 million daily requests without performance degradation or IP bans. • Enterprise ETL & Integration: Delivering structured data directly to BigQuery, PostgreSQL, AWS S3, Snowflake, and vector databases with real-time anomaly detection. 🛠️ Technical Stack: • AI & Orchestration: LangGraph, CrewAI, AutoGen, LlamaIndex, LangChain, OpenAI/Claude APIs. • Automation & Scraping: Python (Scrapy, AsyncIO), Playwright, Puppeteer Stealth, Selenium Grid, Bright Data Agent Browser. • Data Engineering: Apache Airflow, dbt, Pandas, custom ETL frameworks. • Platforms & Workflow Tooling: n8n, Make .com, Docker, Kubernetes. • Infrastructure & Message Queues: Redis, RabbitMQ, Rotating Residential Proxies. • Databases & Vector Stores: BigQuery, PostgreSQL, MongoDB, AWS S3, Google Cloud Storage, FAISS, Pinecone. 💼 Ideal For: • Enterprise operations seeking to automate repetitive back-office tasks, financial document parsing, or complex manual reviews using AI Vision. • Market intelligence agencies requiring highly reliable, long-term web data harvesting pipelines under strict SLA guarantees. • Product teams building RAG-based systems requiring continuous, high-quality, pre-parsed markdown data feeds from dynamic web sources . • Organizations deploying multi-agent swarms requiring production monitoring, comprehensive logging, and enterprise security.

Imagine spending thousands of dollars training an AI model—only to realize the labels were flawed. That’s where I come in. I’m 𝐁𝐞𝐡𝐳𝐚𝐝 𝐀𝐥𝐢 𝐊𝐡𝐚𝐧 and Founder of 𝐒𝐖𝐀𝐓𝐀𝐢, a data annotation and AI development platform trusted by AI startups and enterprises worldwide. With 4+ years of experience and a team of 178+ skilled annotators, I’ve personally led projects that helped train over 100 production-grade AI models from medical image segmentation, agriculture dataset annotations, AI-based electric poles condition monitoring system to autonomous vehicle perception systems. 🌐𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗧𝗿𝘂𝘀𝘁 𝗠𝗲: 𝗣𝗿𝗲𝗰𝗶𝘀𝗶𝗼𝗻-𝗟𝗲𝘃𝗲𝗹 𝗦𝗲𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻: I specialize in polygonal, pixel-wise and semantic segmentation with an obsessive attention to detail. 𝗔𝗜-𝗔𝘄𝗮𝗿𝗲 𝗔𝗻𝗻𝗼𝘁𝗮𝘁𝗶𝗼𝗻: Unlike generic labelers, I understand the AI pipeline. I don’t just label, I label for performance. Every dataset is annotated with model training, accuracy and edge-case handling in mind. 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲-𝗦𝗰𝗮𝗹𝗲 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀: Delivered $500,000+ worth of labeled data to top AI companies (like Moonvalley, SaharLabs etc) with proven systems for scalability, security and deadlines. 𝗖𝘂𝘀𝘁𝗼𝗺 𝗧𝗼𝗼𝗹𝘀, 𝗥𝗲𝗮𝗹 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Worked across CVAT, Labelbox, SuperAnnotate, Roboflow and even client-specific proprietary tools. 🌐𝗦𝘁𝗼𝗿𝘆 𝗼𝗳 𝗚𝗿𝗼𝘄𝘁𝗵: What began as a solo freelancing gig on Fiverr has now become a global agency delivering AI-ready data for some of the most innovative companies on Earth. Now offering our services on Upwork as well. 🛠️𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗜 𝗢𝗳𝗳𝗲𝗿: ✦ Image & Video Segmentation (polygon, semantic, instance-based) ✦ Bounding Box, Keypoint & Landmark Annotation ✦ Text & Audio Annotation (multilingual available) ✦ Dataset Cleaning, Structuring & Preprocessing ✦ Consultancy on AI Dataset Design and Labeling Strategies ✦ AI Model Training and development Image annotation, Bounding boxes, 3D boxes, Video annotation, instance and semantic, Object labeling/tagging,Segmentation, Polygons masks, Text annotation, Line annotation, Key Points annotation, Cuboids, Image classification and categorization.

Availability: Full-time freelancer, 𝟰𝟬+ hours/week, open to long-term collaborations. I’m a Full-Stack & AI Engineer with 10+ years of experience building web and mobile applications and 3+ years of specialized experience in AI and Large Language Models (LLMs). I design, develop, and deploy production-grade platforms, from scalable SaaS dashboards to AI-powered assistants, RAG systems, and voice agents. I work end-to-end: architecture → backend → frontend → cloud deployment, with a focus on clean code, maintainable systems, and high performance. Over the past few years, I’ve delivered solutions that integrate AI/LLM pipelines, vector search, real-time chat, and voice agents for enterprise and startup clients. 🤖 AI & LLM Expertise - MCP Server Development: Designing and integrating custom MCP servers for AI agents, enabling structured tool usage, external system integrations, database querying, and API orchestration. - Fine-Tuning: Persona creation, Q&A systems, and domain-specific models (medical, legal) using Mistral and Llama 3. - Synthetic Dataset Generation: Streamlining LLM training with high-quality datasets. - Evaluation Frameworks: Assessing LLM performance with custom metrics. - Cloud Deployment: Deploying LLMs on AWS and GCP. - AI Agents & Voice Bots: Proficient with LiveKit, Retail AI, OpenAI. - Open-Source Deployment: Expertise deploying models like vLLM on AWS/GCP/RunPod using SkyPilot. 🛠️ 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗧𝗼𝗼𝗹𝘀 & 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 ➜ LLM Tools: LangChain, Langsmith, Langfuse , Hugging Face, Transformers. ➜ Vector Databases: Chroma, FAISS, Pinecone, Qdrant , Opensearch ➜ AI Workflows: Flowise AI, LangFlow, StackAI. 🛠️ 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 ➜ Languages & Frameworks: Python, Node.js, ReactJS. ➜ Database Management: MongoDB, MySQL, PostgreSQL , Supabase , FIrebase ➜ Frontend & Backend Integration: Seamlessly connecting APIs and user interfaces. 🌟 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗦𝗸𝗶𝗹𝗹𝘀 ➜ Open-Source LLMs: Proficiency in LLAMA 3, Mistral 7B, and Mixtral 8x7B. ➜ Prompt Engineering: Expertise in techniques like Chain of Thought, Few-shot Prompting, and Self-Reflection. ➜ Fast Inference: Implementing high-speed solutions with vLLM . 🌟 𝗪𝗵𝘆 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲? With over 10 years of experience, I deliver scalable, cutting-edge solutions tailored to your project’s needs. Whether it's advanced AI models, MCP server development, LLM optimization, or full-stack development, I ensure top-notch results every time. Let’s collaborate to bring your ideas to life!

I build RAG pipelines and LLM-powered applications that actually ship. My recent work includes a production-grade hybrid retrieval system (BM25 + FAISS + Ollama) deployed for a logistics company, significantly reducing their document lookup time across a large knowledge base. Here's what I typically build for clients: — Multi-agent systems using LangGraph and LangChain, handling complex, multi-step reasoning and task orchestration — RAG pipelines with hybrid retrieval (dense + sparse), local LLMs via Ollama, and vector stores like ChromaDB and FAISS — Computer Vision applications for object detection, classification, and domain-specific analysis — AI-powered web apps with React or Next.js frontends and Flask/Python backends — Workflow automation connecting LLMs to external APIs, tools, and data sources via N8N or custom integration I care about systems that are maintainable, explainable, and ready for real users — not just ones that pass a demo. 100% Job Success · Top Rated on Upwork BSc Computer Science — PUCIT CS50's Introduction to AI with Python (HarvardX) · Python for Data Science (Udemy)