Hire the Best Natural Language Toolkit (NLTK) Specialists

🥇 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 design and deploy AI systems that don’t just launch, they scale and perform reliably in production. With 50+ live deployments and 100% client satisfaction, I’ve built everything from intelligent AI solutions and Chatbot Development projects to advanced Computer Vision pipelines and predictive Machine Learning models. As an AWS Certified AI Engineer and Head of AI, I specialize in end-to-end AI architecture using Python, PyTorch, TensorFlow and modern cloud platforms like Amazon Web Services, Azure and DigitalOcean. My expertise spans AI Agent Development, Natural Language Processing, Retrieval Augmented Generation, Deep Learning, Data Science and advanced Data Analysis, delivering robust MVPs and fully production-ready AI platforms that drive real business impact. Notable Achievements: ✦ Reaktion: Developed an AI-powered chatbot using Machine Learning and NLP to deliver advanced Data Analytics and dynamic Data Visualization directly from database queries. Reduced manual reporting effort by 60%. ✦ Partfiniti: Automated BOM extraction from PDFs, emails, excel and images into structured JSON with part lookup and natural language generation, improved extraction accuracy to 92%. ✦ Finsight: FinTech forecasting platform on AWS (EC2, RDS, S3) with FastAPI, Streamlit and predictive ML models, improved forecasting accuracy by 28%. ✦ GIS Mineral Analytics: Built end-to-end ETL pipelines with PostGIS, kriging, KNN, IDW and anomaly detection to power predictive mineral mapping and dynamic heatmaps, reducing exploration risk by 28% and improving drill targeting accuracy by 35%. Areas of Expertise: ✦ Machine Learning: (scikit-learn, XGBoost, Time-Series Forecasting), Python (FastAPI, Streamlit) ✦ Gen AI: LLMs, NLP, RAG Pipelines, OpenAI, Llama, AI Agents, ChatGPT ✦ Audio and Speech AI: AI Voice Agents, STT, TTS, TensorFlow Audio Classification APIs ✦ Computer Vision: OCR, Object Detection, Segmentation, Emotion Detection, Image Recognition (OpenCV, Tesseract), Image Generation, Data Extraction ✦ Cloud-Native AI: AWS Lambda, EC2, RDS, S3, Azure AI, FastAPI, Streamlit, API integration, secure backend systems Why do clients love working with me? ✦ Successfully launched production-ready AI/ML systems with measurable business impact. ✦ Scalable, high-quality solutions powered by Generative AI and Machine Learning. ✦ Reliable long-term partner focused on clarity, performance and sustainable growth. ✦ Strong balance of deep technical expertise and real-world business outcomes across multiple industries. 💬 Feel free to reach out anytime! Let’s build the AI-powered success your business deserves and transform your ideas into production-ready impact!

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.

𝗜 𝗯𝘂𝗶𝗹𝗱 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 — 𝗻𝗼𝘁 𝗽𝗿𝗼𝘁𝗼𝘁𝘆𝗽𝗲𝘀. Most AI projects look great in a demo and break when they meet real work. The agent routes to the wrong tool. The RAG retrieves the wrong chunks. The voice latency kills the conversation. The pipeline runs in a notebook but never makes it to production. That's where I come in. In 2 months at a Dubai tech company, I built and deployed 6 production AI services from zero infrastructure. Voice assistants, document tools, RAG pipelines, agent workflows — all live, all on AWS, all monitored with LangSmith. ─────────────────────────── WHAT I'VE SHIPPED ─────────────────────────── ◆ Voice assistant with 7-agent architecture — real-time speech (Deepgram + LiveKit), Text-to-SQL, RAG document Q&A, multi-agent routing via LangGraph ◆ AI Status Reports — optimized 17s → 2.1s, beat the 5-second requirement by 58% ◆ Document Classifier — bulk upload with Gemini 2.0 Flash. $0.0002/doc, 100% accuracy in production testing ◆ COSTRA — 5-agent BOQ extraction (internal tool) — vision models (Claude 4.5 Sonnet, Gemini 3 Pro) extracting data from construction PDFs, exports to Excel/JSON ◆ Medical RAG (graduation research, distinction with honors) — F1: 79.3 / EM: 69.4 on LitQA v2 with hybrid retrieval, cross-encoder reranking, context compression ─────────────────────────── WHAT I BUILD FOR YOU ─────────────────────────── ◆ Multi-Agent Systems — LangGraph, LangChain, tool routing, structured outputs, conditional flows ◆ Voice AI Agents — phone calls (Telnyx), browser-based (LiveKit), real-time STT/TTS (Deepgram, ElevenLabs), Silero VAD ◆ RAG Pipelines — over your documents, databases, and APIs. Hybrid retrieval, reranking, evaluation. ◆ LLM Apps & APIs — Claude, GPT-4, Gemini, Groq, or self-hosted (vLLM, Ollama) ◆ Production Deployment — FastAPI → Docker → AWS (Lambda, EC2, Bedrock) with CI/CD, Caddy reverse proxy, LangSmith monitoring ─────────────────────────── TECH STACK ─────────────────────────── Languages & Frameworks — Python, FastAPI, Flask, Next.js, React Agents & Orchestration — LangGraph, LangChain, multi-agent systems, tool calling RAG & Retrieval — Hybrid retrieval (BM25 + dense), cross-encoder reranking, context compression, chunking strategies Voice AI — Deepgram, LiveKit, Telnyx, ElevenLabs, Silero VAD, Gemini Live API LLMs — Claude, GPT-4, Gemini, Groq, AWS Bedrock, vLLM, Ollama Vector Stores — FAISS, Pinecone, Qdrant, Milvus, Chroma, pgvector Cloud & Infra — AWS (EC2, Lambda, Bedrock, API Gateway, S3, Amplify), Docker, Coolify, CI/CD Observability — LangSmith, Langfuse Backend — PostgreSQL, Supabase, Neo4j AuraDB Automation — n8n, REST APIs, webhooks ─────────────────────────── AWS Certified Cloud Practitioner. Tell me what you're trying to build. I'll tell you if it's the right approach and how I'd build it.

Expert-Vetted (Top 1% of Upwork talent)🏆🏆🏆 🎓 NLP, ML, LLM and AI expert 💬 custom Chatbots using OpenAI/ AWS bedrock, langchain, vector databases. LLMs like chatgpt, GPT4, Claude3.5, Llama and Falcon 🚀 AI Agents development using frameworks like LangGraph, Autogen or CrewAI 📊 Sentiment Analysis, Text Classification, text generation, text summarization, Topic modelling, and Data Clustering 🚀 Certified AWS Architect skilled in designing and developing AI pipelines using AWS Bedrock and SageMaker, lambda, RDS specializing in NLP, ML, LLM, and AI technologies. 💬 Finetuning open-source LLMs on custom data 🤖 Low code/No code AI automations using tools like Make.com and Zapier 🖼️ Custom image generation using stable diffusion models 🎥 Object Detection, Motion Tracking, Scene Recognition, and Anomaly Detection. 🎯 Recommendation Engines Expert: Specialized in designing and implementing recommendation systems using AWS Personalize, Google Cloud Recommendations AI, and custom solutions built from scratch. Unlike many pseudo-AI experts who simply know how to call OpenAI or Anthropic APIs, I bring 𝟗 𝐲𝐞𝐚𝐫𝐬 of deep, hands-on experience in the AI field, mastering everything from traditional ML to advanced Generative AI. I understand the ins and outs of building real AI solutions that go far beyond basic API integrations. 🤖 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐢𝐧 𝐋𝐚𝐫𝐠𝐞 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥𝐬 (𝐋𝐋𝐌) 𝐚𝐧𝐝 𝐀𝐈: ➜ Fine Tuning: Specialized in finetuning LLMs like llama, openai models, qwen2.5, mistral for domain adaptation, style adaptation, persona writing, QnA, medical, legal, and more. ➜ LLM Synthetic Dataset Generation for finetuning ➜ LLM Evaluation Framework ➜ LLM Deployment: On Cloud platforms like AWS DLC, Lambda, and more. ➜ AI Agents / Voice Bots: Proficient with CrewAI/AutoGen, Amazon Polly, Deepgram, OpenAI swarm. ➜ AI Automation using make and zapier ➜ custom LLM Deployment: On AWS/GCP/RunPod using SkyPilot, vLLM/TGI frameworks 🛠️ 𝐓𝐨𝐨𝐥𝐬/𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: ➜ Langchain, LangServe, LangSmith, llamandex, Heystack, HuggingFace, Transformers ➜ VectorDB: Chromadb, FAISS, PineCone, Qdrant, opensearch, Azure Cosmosdb, Milvus ➜ Flowise AI, LangFlow, StackAI ➜ GCP Vertex AI, Google Colab, AWS Sagemaker, Azure ML studio, Runpod, Vast AI 🐍 Python Frameworks: ➜ Low-Code UI Tools: Streamlit, Gradio, Panel API Frameworks: FastAPI, Flask, Django, Pydantic Machine Learning / Deep Learning Frameworks:PyTorch, TensorFlow, Keras, HuggingFace Transformers ➜Data Wrangling / Processing:Pandas, NumPy, Dask, Polars, Scikit-learn ➜Model Serving and Deployment: Triton Inference Server, TorchServe, ONNX Runtime, MLflow, BentoML 🗄️ 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: ➜ SQL: MySQL, PostgreSQL, SQLite, Azure SQL ➜ NoSQL: MongoDB, DynamoDB, Firebase, Redis ➜ GraphDB: Neo4j, Amazon Neptune 💻 𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝 𝐓𝐞𝐜𝐡: ➜ React, Angular, Next.js, Vue.js, Tailwind CSS, Bootstrap I am lead AI/ML engineer with more than 9 years of experience traditional ML, deep learning, advanced NLP, generative AI LLMs like chatgpt, GPT4, Llama, Falcon and Mistral, Mixtral, Qwen. Strong experience in executing custom AI and NLP solutions and integrating them in business workflows, along with advanced skills in object detection, motion tracking, scene recognition, and anomaly detection. If you're working with any sort of data for your project, I'm here to help! Whether you have raw and unprocessed data that needs cleaning, or you need help scraping and annotating new data, I've got you covered. As an AI professional with a specialization in AI, NLP, LLMs, I've worked with various models, including GPT3, Chatgpt/GPT4, llama3, Qwen, and GPT-J, and have experience in applying state-of-the-art NLP techniques to projects. If you need help training a deep learning model, I can help you experiment with cutting-edge models such as T5, Bert, M2M, FLAN-T5 and RoBerta to achieve the best possible performance. I can train/Fine tune open source LLMs like Llama, mpt7b, Falcon using efficient techniques like QLora. I'm well-versed in working with transformer-based models and can help you fine-tune and transfer learning to get the most out of your data. If you have text data I can help with text classification, natural language understanding, and natural language generation. If you're looking for a chatbot or conversational AI solution, I can help you develop a solution using Chatgpt, langchain and vector databases like pinecone. In addition to NLP, I'm experienced in working with sequential data, time series forecasting, and PyTorch code debugging. I have successfully completed over 60 jobs on Upwork, logging more than 4000 hours of work while consistently achieving client satisfaction. If you're looking for an AI professional who can help with anything remotely related to LLMs or AI Agents, any other NLP/ML task don't hesitate to reach out to me. I'll be more than happy to assist you in achieving success with your project.

I build production-grade GenAI systems for Fortune 500 enterprises including Verizon and PNC, : AI agents, RAG platforms, semantic layers, knowledge graphs, text-to-SQL/NLQ systems, and full-stack AI applications. I have 9+ years of experience across machine learning, computer vision, NLP, backend engineering, and full-stack product development. Recently, I have led large engineering teams building enterprise AI platforms for telecom and banking use cases. What I can help you build: • AI agent systems using LangGraph, LangChain, MCP, A2A, FastAPI, and custom tool orchestration • RAG applications over documents, databases, knowledge bases, and enterprise data • Semantic layers and ontology-driven systems for analytics and GenAI use cases • Text-to-SQL / natural language database querying over Postgres, BigQuery, and Teradata • Knowledge graph RAG using Neo4j, vector databases, metadata extraction, and domain modeling • Full-stack AI SaaS products with Python, React, Next.js, Docker, Kubernetes, and cloud deployment • LLM fine-tuning, evaluation, prompt engineering, retrieval evaluation, and hallucination reduction Relevant achievements: • Led a 14-member team to build an asynchronous, extensible, A2A-compliant agentic framework for enterprise troubleshooting. • Reduced ticket resolution time in a production troubleshooting workflow from days to minutes. • Built and deployed hundreds of tools across multiple MCP servers. • Led a 12-member team to build a natural language query platform for enterprise databases. • Improved NLQ accuracy using domain modeling, metadata generation, and knowledge graph traversal. • Built an ontology-powered Knowledge Graph RAG platform over unstructured enterprise data. • Co-founded and scaled an AI video translation/dubbing product from $0 to $100k revenue in 6 months. • Built computer vision systems deployed across industrial locations in India and Europe. Tech stack: Python, FastAPI, LangChain, LangGraph, LlamaIndex, OpenAI, HuggingFace, PyTorch, PEFT/LoRA, React, Next.js, Postgres, BigQuery, Neo4j, Pinecone, Docker, Kubernetes, ArgoCD, GCP, AWS, PySpark, Airflow. I am best suited for clients who need more than a prototype. I can help you go from ambiguous AI idea → system design → implementation → deployment → evaluation → production hardening.