Hire the Best Natural Language Generation Specialists

I am not just an AI Engineer; I am a storyteller who connects the dots between complex data and business growth. With 5 years of hands-on experience and a robust academic foundation in Statistics and Engineering, I specialize in building AI systems that don't just work they innovate. Why work with me? I don’t just deliver code; I translate your high-level business needs into high-performing, production-ready AI systems that solve real-world bottlenecks. My Core Expertise: - AI Solutions: Text analysis & image recognition - AI Search: Smarter answers with RAG & advanced prompt design - Custom AI Models: Tailored GPT, Gemini, LLaMA, Claude & more - Vibe Coding: Cursor, Lovable, Antigravity, etc.. - AI Workflows: Multi-agent automation for complex tasks - Voice AI: Text-to-speech & speech-to-text (AWS, Google, Azure) - AI Visuals: From idea to image using DALL·E, Midjourney, Stable Diffusion - Automation: Zapier, Make, n8n & custom workflows - Smart Pipelines: Event-driven triggers, error handling & smooth operations AI Agents & Chatbots: I build sophisticated multi-agent and RAG frameworks. Examples include E-commerce virtual associates that drive sales and POS customer support agents that handle complex queries autonomously. Text-to-SQL & Analytics: I enable non-technical users to "talk to their data," providing instant, natural-language insights into sales, inventory, and KPIs. Intelligent Automation (n8n): I streamline operations by eliminating repetitive tasks. My AI-powered HR Agent workflow automatically parses, scores, and ranks candidates to find your "best fit" instantly. Computer Vision & OCR: Expert in YOLO and Qwen2.5-VL. I automate data entry from handwritten or digital invoices directly into structured JSON for accounting and inventory software. Full-Stack AI Deployment: I take models from notebooks to production. Expert in the full AI lifecycle, including MLOps, containerization (Docker), and scalable cloud deployment on GCP. The Toolbox: Frameworks: PyTorch, Keras, TensorFlow, Scikit-learn, OpenCV. LLM Ops & Orchestration: LangChain, LangFlow, DSPy, OpenAI API, Apple MLX. Deployment: Docker, GCP, MLOps pipelines. I am dedicated to delivering results that exceed expectations always on time and within budget. Let’s build your success story. Click the 'Invite' button to start a conversation!

Hi, I`m Noor 👋 "I turn raw data into clear, actionable insights that empower better decisions and drive real results, every step of the way." I'm a Data Scientist and AI Engineer. Over the past 5+ years, I’ve worked on projects that combine data engineering, machine learning, and large language models to build intelligent, production-ready solutions. I specialize in designing end-to-end ML pipelines, developing LLM-powered applications (RAG, LangChain, Llama-2/3, OpenAI), and deploying scalable systems on Azure, Databricks, and Docker. My work often involves automating data workflows, improving prediction accuracy, and transforming complex data into clear insights. Some of my favorite projects include building an AI chatbot for e-commerce, a predictive system for event planning, and an IoT protocol translator using LLMs. I value clarity, efficiency, and collaboration and I always aim to deliver results that make a measurable impact. If you’re looking for someone who can turn your data or AI idea into a working solution, I’d be happy to help.

🥇 AI Engineer & Data Scientist | 1+ Year Experience I’m an AI Engineer and Data Scientist passionate about building intelligent, automated, and data-driven systems that solve real-world problems. With expertise in Machine Learning, Generative AI, NLP, Computer Vision, and workflow automation, I help startups and enterprises create AI solutions that scale and deliver measurable impact. What I Can Deliver ➤ AI Agents & Chatbots • RAG-based multi-PDF and document Q&A systems using LangChain, FAISS, HuggingFace, and Gemini AI • Custom AI agents and chatbots powered by OpenAI, GPT, Claude, and Mistral • Voice and calling agents with Retell AI and real-time API integrations • CRM & email automation integrated with Slack, Gmail, and HubSpot ➤ Computer Vision & Image Analysis • Deep learning-based image classification, object detection, and feature extraction • Convolutional Neural Networks (CNNs), transfer learning, and data augmentation for high-accuracy predictions • Real-time image processing deployed with Flask/Django apps • Projects include pet image classification, facial attribute detection, and AI-based image analytics ➤ Workflow Automation & Orchestration • Intelligent automation pipelines using Python, n8n, Make.com, and Zapier • Lead management, reporting, and data syncing workflows • API, database, and CRM integrations to automate repetitive tasks ➤ Machine Learning & Data Science • NLP, deep learning, predictive modeling, and feature engineering • LLM fine-tuning (BERT, GPT, HuggingFace Transformers) • Recommendation systems, forecasting, and regression models • Model deployment with Flask, FastAPI, Django, and Docker ➤ Data Engineering & Business Intelligence • ETL processes, SQL pipelines, and cloud integration (Azure) • Real-time dashboards and analytics using Power BI & Tableau • Data-driven reporting and KPI tracking Technical Skills Python, Flask, Django, JavaScript, HTML, CSS, OOP NumPy, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch, HuggingFace, FAISS, OpenAI API, NLP, RAG, Computer Vision n8n, Make.com, Zapier, Retell AI, API Integrations, Workflow Automation SQL, ETL, REST APIs, Web Scraping, Azure, Docker Git, GitHub, Jupyter Notebook, Google Colab, VS Code I specialize in building AI systems that automate processes, analyze visual and textual data, deliver actionable insights, and enhance business efficiency. 📍 Available for short-term & long-term projects | NDA-Compliant | Reliable & Collaborative

I build and ship production AI systems that real users depend on, not demos. RAG pipelines, multi-agent LLM apps, fine-tuned models, and multimodal/OCR extraction, deployed to run 24/7 on Kubernetes and serverless GPU. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Top-Rated Plus | 100% Job Success | 4+ years ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Enterprise-grade AI for multinational companies and startups, including HIPAA-conscious healthcare workflows. I turn complex requirements into intelligent, production-ready applications that drive measurable results. ━━━━━━━━━━━━━━━━━━━━━ WHAT I DO BEST ━━━━━━━━━━━━━━━━━━━━━ Agentic AI & Multi-Agent Systems Custom architectures with LangGraph, CrewAI, and Model Context Protocol (MCP), including self-improving agents that learn from evaluation feedback. Built for real automation, not chatbot demos. Advanced RAG, Evaluation & Observability 10+ production RAG systems (self-RAG, adaptive retrieval), one serving hundreds of users across thousands of documents. Migrated Pinecone to Weaviate for better recall at lower cost. Every system ships with LLM-as-judge, retrieval metrics, and full tracing (LangSmith/Langfuse), so quality is measured, not guessed. LLM Fine-Tuning & Cost Optimization PEFT (LoRA/QLoRA), SFT, DPO, and instruction tuning. Fine-tuned a 7B Arabic model served on autoscaling serverless GPU, plus multimodal vision-language models. Cut client AI costs by up to 40% through open-source replacement and quantization, with no drop in performance. Multimodal & Document AI OCR and document-extraction pipelines across PDF, DOCX, PPTX, Excel, and images, with strong F1 on messy financial and clinical documents. Also built a temporal, multi-hop knowledge graph over an encrypted Postgres + Qdrant store with client-side encryption. AI Automation & Integrations Connecting LLMs to real business systems: n8n, Make (Integromat), Zapier, CRM automation (HubSpot, GoHighLevel, Airtable), Supabase backends, and Twilio/WhatsApp. AI that plugs into how your team actually works. Enterprise Backend & Scalable Infra Master-level Python (FastAPI, Flask), robust CI/CD, and multi-cloud deployment (AWS, Azure, GCP). Docker + Kubernetes with KEDA autoscaling, plus privacy-first, multi-tenant systems (E2EE, RBAC, audit logging), including HIPAA-conscious PHI handling. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ TECH STACK ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ Agents & LLMs: LangChain, LlamaIndex, LangGraph, CrewAI, MCP, Hugging Face (PEFT/TRL), Ollama, TGI, vLLM ▸ Eval & Tracing: LangSmith, Langfuse, LLM-as-judge, custom eval frameworks ▸ Vector DBs: Weaviate, Pinecone, Qdrant, FAISS, ChromaDB ▸ Models: OpenAI, Claude, Gemini, fine-tuned open-source ▸ Automation: n8n, Make (Integromat), Zapier, Supabase, Twilio ▸ Backend: Python (FastAPI, Flask), TypeScript/Node (NestJS, NextJS), PostgreSQL, MongoDB ▸ MLOps & Cloud: Docker, Kubernetes, KEDA, CI/CD, Airflow, MLflow; AWS (SageMaker, Lambda), Azure ML / Azure OpenAI, GCP, serverless GPU ▸ CV & Data: OCR optimization, vision-language models, Stable Diffusion, web scraping ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHY CLIENTS PICK ME ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ Ships to production. I build AND deploy. You get systems that run 24/7 and scale, not a prototype someone else has to finish. ▸ Proven track record. Top-Rated Plus, 100% Job Success, enterprise and healthcare AI delivered end-to-end. ▸ Innovation-driven. I bring the latest (MCP, adaptive RAG, new model releases) into production. ▸ Cost-conscious. High-performance AI that optimizes spend without compromising quality. ▸ Quality-first. Production-grade code, proper testing, and evaluation built in. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Building an AI product, or need one taken from prototype to production and scaled reliably? Send me the brief and I'll tell you exactly how I'd approach it.

Greetings, I am a Senior AI Engineer and Data Architect specializing in Machine Learning, Deep Learning, Federated Learning, LLMs, AI Automation, and Data Architecture. I focus on building scalable, secure, and production-ready AI and data solutions that solve real business problems. My core strength lies in designing end-to-end AI and data systems, from data ingestion, data modeling, and data processing to model development, deployment, automation, and business intelligence. I have strong experience in LLM-based RAG systems, computer vision, privacy-preserving AI using Federated Learning, and modern data platforms. I also work on enhancing AI security through Blockchain integration where applicable. - Key Expertise: * Data Architecture & Engineering * Data Lake, Data Warehouse, and Lakehouse Architecture * Data Modeling: Star Schema, Snowflake Schema * ETL/ELT Pipelines and Data Integration * Data Governance, Data Quality, and Metadata Management * Batch and Real-Time Data Processing * Big Data Platforms: Spark, Hadoop, Cloudera CDP * DataOps, CI/CD, and MLOps - Generative AI and Automation * LLMs, RAG systems, chatbots * AI workflow automation and integrations - Advanced AI * Federated Learning * Secure AI systems with Blockchain integration - Machine Learning * Regression models, Decision Trees, SVM * Ensemble methods: Random Forest, Gradient Boosting, XGBoost * Probabilistic and distance-based models: Naive Bayes, KNN - Deep Learning * ANN, CNN, RNN, LSTM, GAN * Model optimization and deployment - Computer Vision * Image classification, object detection, segmentation I am passionate about collaborating with clients to deliver robust, efficient, and future-ready AI and data solutions. If you are looking for a Senior AI Engineer and Data Architect who combines research-level expertise with real-world implementation, I would be happy to discuss your project.

I am the Top 3 percent developer on Upwork having Pink badge, I help clients build products that are sharp, scalable, and results focused. I design and build production-grade AI systems powered by Large Language Models, Retrieval-Augmented Generation, intelligent chatbots, and autonomous multi-agent architectures that go beyond prototypes and deliver measurable business outcomes. My expertise lies in combining advanced AI modeling with scalable system design, enabling chatbots, agents, and multi-agent systems to operate reliably in real-world environments. 🔹 Core Expertise Generative AI Systems LLM integration using OpenAI, Gemini, Claude, and open-source models like LLaMA and Mistral Prompt engineering for deterministic outputs, structured responses, and controlled reasoning Tool-augmented generation and function calling for real-world execution Context management for long conversations and memory-aware systems RAG & Knowledge Systems End-to-end RAG pipelines with vector databases like Pinecone, FAISS, Weaviate Hybrid retrieval combining semantic search, keyword search, and metadata filtering Context optimization like chunking strategies, re-ranking, and compression Knowledge grounding for chatbots and AI assistants to reduce hallucinations AI Chatbots (Advanced) Conversational AI with multi-turn memory and contextual awareness Domain-specific chatbots for customer support, internal tools, and SaaS platforms Stateful chat systems with session memory and retrieval-backed responses Integration with APIs, CRMs, and external tools for actionable conversations AI Agents & Multi-Agent Systems Autonomous AI agents with task planning, reasoning, and tool usage Multi-agent orchestration where agents collaborate, delegate, and validate outputs Workflow automation agents for tasks like lead qualification, research, and execution Event-driven agent systems with feedback loops and self-correction Machine Learning & Deep Learning NLP pipelines, embeddings, and similarity search systems Fine-tuning and domain adaptation for LLMs Recommendation systems and predictive modeling Evaluation frameworks for model performance and reliability 🔹 System Design & Engineering I focus on building end-to-end AI architectures where chatbots and agents are part of a larger, reliable system. Backend systems using Python, FastAPI, Node.js Scalable architectures for chatbot platforms and agent workflows Vector database optimization and retrieval latency tuning Real-time inference systems for conversational AI Secure integrations with third-party APIs and enterprise systems MLOps & AI Infrastructure Deployment on AWS, GCP, Azure with GPU scaling CI/CD pipelines for AI systems and agent workflows Monitoring, logging, and observability for chatbot and agent performance Cost optimization for LLM-heavy applications 🔹 What I Build Intelligent AI chatbots with deep contextual understanding and action capabilities RAG-powered knowledge assistants for enterprises and SaaS products AI agents that automate workflows like lead qualification, support, and operations Multi-agent systems for complex task orchestration and decision-making Document intelligence systems for extraction, summarization, and structured insights AI copilots integrated into products for enhanced user experience 🔹 My Approach I design systems where chatbots and agents are not just interfaces, but intelligent decision layers. Focus on accuracy, latency, and cost trade-offs Build for edge cases and unpredictable inputs Ensure structured outputs for downstream systems Design modular architectures for scaling from single-agent to multi-agent systems 🔹 Differentiation Deep expertise in both LLMs and system-level architecture Experience building real-world chatbot and agent-based systems Strong understanding of multi-agent coordination and workflow automation Ability to convert complex ideas into scalable AI products Product-focused mindset with emphasis on measurable impact 🔹 Tech Stack Python, FastAPI, Node.js, LangChain, LlamaIndex, Pinecone, FAISS, Weaviate, OpenAI, Gemini, Claude, Hugging Face, Docker, Kubernetes, AWS, GCP If you are looking to build advanced AI chatbots, intelligent agents, or multi-agent systems, I can help you design and implement solutions that are technically robust and production-ready. Let us build systems that think, act, and scale.