Greetings! I specialize in AI & Machine Learning, Data Science, and MLOps, crafting scalable solutions that turn data into powerful insights and real-world impact. Skills: 🎯 Highly skilled in Python, with extensive experience in machine learning, deep learning, and AI. 🎯 Proficient in data extraction using Scrapy and BeautifulSoup. 🎯 Experienced in working with NLP tasks using spaCy, NLTK, and Hugging Face. 🎯 Skilled in Generative AI and using models like Transformers, DALL-E, CLIP, Stable Diffusion, and Vision Transformers (ViT). 🎯 Advanced in machine learning algorithms, including XGBoost, LightGBM, Scikit-Learn, and TensorFlow. 🎯 Highly skilled in working with time series data and models like LSTM, Pandas, and XGBoost. 🎯 Proficient in Data Science and Data Visualization, with hands-on experience in Pandas, Numpy, Matplotlib, Seaborn, Plotly, and Dask. 🎯 Experienced in using MLOps tools like MLflow, DVC, TensorBoard, and BentoML for model management and deployment. 🎯 Proficient in SQL & NoSQL databases, including PostgreSQL, MySQL, and MongoDB. 🎯 Skilled in cloud computing and deployment, including AWS, Docker, Kubernetes, and SageMaker. 🎯 Skilled in CI/CD practices, version control using Git and GitHub. 🎯 Comfortable working on both Linux (Ubuntu) and Windows Operating Systems. Data Exploration & Visualization: 🎯 Streamlit for creating dynamic data applications. 🎯 Power BI and Tableau for building interactive and professional dashboards. Tools: 🎯 VSCode, Jupyter Notebook, GitHub, Trello, Microsoft To-Do, Teams, Zoom, and Slack for efficient collaboration and project management.

I guarantee exceptional performance in all my projects, coupled with unlimited support even after project completion. I specialize in developing intelligent software systems that deliver practical and tangible results. When it comes to technical decisions, you can trust me to take the lead. Simply discuss your business objectives and task requirements, and I will guide you towards the most efficient approach for completing the project. By minimizing costs, time, and efforts, I ensure optimal outcomes are achieved. In addition, I offer complimentary technical consultations and conduct meetings in a friendly and easily comprehensible manner, ensuring a seamless collaboration throughout the entire job.

Are you looking to transform your business with data-driven AI solutions that deliver measurable results? As a top-rated AI & Machine Learning Engineer, I don't just build models; I build revenue-generating systems and efficiency-driving automation. I partner with forward-thinking companies to translate complex business challenges into powerful, scalable solutions using Python, advanced Large Language Models (LLMs), and cutting-edge Computer Vision. My core focus is on delivering tangible business value. Whether you need to automate customer support, optimize manufacturing with computer vision, or uncover predictive insights from your data, I have the expertise to deliver. My Services Include: - Custom LLM & Chatbot Integration: Architecting and fine-tuning sophisticated AI chatbots (using GPT-4, Llama, Claude) that handle up to 80% of customer inquiries, drastically reducing response times and operational costs. - AI-Powered Automation & MLOps: Designing and deploying end-to-end MLOps pipelines (Kubernetes, Docker) that automate workflows, from data ingestion to model deployment, ensuring your AI solutions are robust and scalable. - High-Accuracy Computer Vision Systems: Implementing state-of-the-art object detection models like YOLOv10 for real-world applications such as manufacturing defect detection, boosting quality control accuracy to over 99%. - Predictive Analytics & Financial Forecasting: Developing advanced time-series models (LSTM) that improve the accuracy of financial predictions and provide a clear competitive advantage. I am a dedicated problem-solver who bridges the gap between technical execution and strategic business goals. My commitment is to deliver a significant return on your investment. Ready to see how AI can transform your business? Let's schedule a call to discuss your project.

Machine Learning Engineer with 3+ years of experience in developing, deploying, and monitoring scalable machine learning models. Proficient in various domains including Machine Learning, Data Science, Computer Vision, and Natural Language Processing. Skilled in MLOps with a strong track record of building end-to-end ML lifecycles, orchestrating ML pipelines, and implementing CI/CD. Proven ability to solve real-world problems through successful deployment of machine learning pipelines and models. Here are my specific fields of expertise with Machine Learning and Deep Learning technologies: ✅ Computer Vision: • Image Classification • Object Detection • Object Segmentation • Object Tracking • Pose Estimation • Face Recognition • Visual Question Answering • Optical Character Recognition (OCR) ✅ Natural Language Processing: • Chatbots • Text Classification • Text Summarization • Question Answering ✅ Main Tools: • ML Framework & Libraries: Pytorch, TensorFlow, Keras, Scikit-Learn. • Programming: Python, Golang, C++, Haskell, Matlab. • Back-End: Django, FastAPI, Flask, Gin, RESTful APIs, GORM, GraphQL • Database: Postgres, MySQL, MongoDB, SQLite, Redis, BigQuery. • Data Engineering & MLOps: DBT, MLFlow, PySpark, Kafka, RabbitMQ, Grafana • Orchestration & Workflow Managment: Apache Airflow, Kubeflow, Argo, Prefect • Containerization & Cloud Services: Docker, Docker-Compose, Kubernate, Terraform, Azure ML. I believe that I can provide the best services to fulfill your task. Looking forward to here from your side and long-term project relationship. Thank you for visiting my profile!

I am a Data Scientist, Python algo developer & Finance enthusiast with vast knowledge and skills using data science tools & techniques and building algorithmic and machine learning models to provide automation and efficiency for business and investment processes. I have excellent knowledge in analyzing the Financial and investment market with a proven track record of trading different profitable algorithmic strategies and building event-driven backtesting systems with Python. I specialize in financial data analysis and visualization using machine learning and deep learning models for forecasting financial data. I have expertise in the following domains; - Python - AI Automation - Data Science - Machine learning - Deep learning - Algorithmic Trading - Strategy Development - Plotly Dash - Microsoft Power BI - Tableau I have an experience using these libraries: - Metatrader5 - MQL5 - Yahoofinance - Numpy - Pandas - Seaborn - Keras - Matplotlib - Tensorflow - Plotly - Scikit-learn - transformers

Top 3% Freelancer who built enterprise multi-tenant RAG systems with custom LLM deployments, reduced LLM workflow costs by 70%, and delivered a 2M product data quality pipeline for a Fortune 500 biotech company, reducing manual efforts by 85%. Architected and deployed production systems across finance, biotech, energy, telecommunications, and healthcare. 5+ years taking end-to-end ownership on all projects, from greenfield architecture to secure & scalable production deployment, leading engineers and maintaining systems long-term. I specialize in production-ready AI solutions with measurable ROI. From 90% accuracy voice classification to billion-scale data engineering. Core Expertise: • AI Agents / Agentic Workflows (LangGraph, Tool Calling, Function Calling, Agent Memory Patterns, Agent Patterns, Multi-Agent Orchestration, Building MCP, Plugins, Skills, Hooks, Deterministic Enforcement, ReAct Pattern, AI Assistants, Research, Planning, Writing) • LLM Systems (Claude API, OpenAI API Integration, vLLM, LoRA/QLoRA Fine-Tuning, PEFT, RLHF, DPO, LLaMA, Mistral, Prompt Engineering, Deterministic Workflows, LLM Evaluation, Cost Optimization, Deploying Chatbots, Deploying LLMs, Claude Code, Codex) • RAG (Hybrid Retrieval, Vector Databases, Evaluation Harness, Tiered Access, Custom Document Parsing, PDF/Clinical Data Extraction, Ragas, Multi-Tenancy) • NLP (Transformers, spaCy, Named Entity Recognition, Text Classification, Taxonomy Design, Rule-Based Extraction, Sentiment Analysis, Topic Modeling, Summarization, Information Extraction) • Generative AI (Structured Outputs, Pydantic Validation, Guardrails, Hallucination Prevention, AI Chatbot Development, AI Integration) • ETL & ML Pipelines • Time Series Applications at scale. - I personally prefer native APIs for building Agentic / LLM workflows. Domain Expertise: • Energy & Utilities (demand forecasting, carbon emissions, time series, pricing optimization) • Financial Services (compliance-ready RAG, churn prediction) • Life Sciences (biotech product classification, scientific NER, clinical data extraction, safety) • Telecommunications (voice classification, Whisper, ASR, diarization) Projects - Open source contributor (Langchain vLLM integration fix) - Enterprise RAG Engine with multi-tenancy, project-level isolation, custom vLLM deployments, agent live on the WhatsApp channel - customer support. - Finance-Specific RAG System with compliance features and RAG benchmarking - Enterprise Knowledge Base Chatbots Integrating (RAG daily sync on Notion, Slack, Website, Documents, evals, Live on Zendesk Customer Support Agent, Internal AI Agents on Slack(Deep Research, Q-A, Reporting), Blogpost creation with tone and fact checks.) - Production agentic workflows with state management, semantic processing, and monorepo CI/CD - SEO keyword clustering system processing 10k+ keywords under 10s using OpenAI embeddings + HDBSCAN - Enterprise Misspelling Detection Pipeline for 2M biotech products using FAISS similarity matching and 740k scientific corpus validation (Thermo Fisher) - Real-time Voice Classification System (90% accuracy, active learning pipeline) - Call Recommendation System with statistical engine for optimal calling times - Energy Market Forecast System for Budapest electricity prices - 500+ Class Text Classification with Fine-Tuned BERT - Extending a Lexicon using GloVe Word Embeddings - Databricks PySpark Data Pipeline for Aggregating Billion Scale Data - Time Series Analysis and Models on Energy Consumption Data from different locations in Belgium and Germany - API Integrations & Calculations on Electricity Business Objectives - Imbalanced Binary Classification on Anonymized Data (Oversampling + CatBoost & hGBM) - Data Processing Pipeline for 70m of Electricity Sensor Data for a Research Project Tech Stack: • Programming Languages: Python, SQL • Machine Learning & Deep Learning: TensorFlow, Keras, PyTorch, Scikit-Learn • NLP: LangChain, NLTK, Gensim, FAISS, Pinecone, pgvector • Time-Series: Prophet, TSMixer, ARIMA, SARIMAX, LSTM • MLOps & Data Engineering: Terraform, Linux, Apache Spark, Airflow, Docker, Flask, Streamlit, Gradio, MLflow, W&B, Optuna, CI/CD Pipelines, n8n workflows, Ragas • Cloud: Google (BigQuery, Cloud Functions, Cloud Run, Dataflow, Vertex AI, Firestore, Cloud Storage, Composer) • AWS (Lambda, SageMaker, S3, EC2, ECR, DynamoDB, Glue, CloudWatch) • Azure (Databricks-PySpark) • Database: PostgreSQL, Pinecone, Chroma • Data Manipulation & Statistics: Pandas, NumPy, OpenCV, Regex, SciPy, Statsmodels • Data Visualization: Matplotlib, Plotly • Web Scraping: BeautifulSoup, Requests • Building Custom NER Models & Linking, Question Answering, Text Similarity & Word Embeddings, Part-of-Speech Tagging & Dependency Parsing, Text Generation, Lexical Semantics & N-grams, Clustering • Logistic Regression, SVM, Decision Trees, Random Forest, Gradient Boosting Machines (XGBoost, LightGBM, hGBM), k-NN, CNN, RNN, K-Means, DBSCAN, HDBSCAN, OPTICS

🚀 Driving Innovation Through AI and Machine Learning Hello! I'm Eslam Ahmed a passionate Applied Scientist at 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 and an AI & Machine Learning Instructor and Author at top institutions like 𝗨𝗱𝗮𝗰𝗶𝘁𝘆 and 𝗘𝗱𝘂𝗰𝗮𝘁𝗶𝘃𝗲. With two master’s degrees in AI and IoT, I bring a deep understanding of cutting-edge technologies to every project I work on. 🎓 𝙀𝙙𝙪𝙘𝙖𝙩𝙞𝙤𝙣 𝙖𝙣𝙙 𝙀𝙭𝙥𝙚𝙧𝙩𝙞𝙨𝙚: • Master’s Degree in Artificial Intelligence and Data Science from the University of Ottawa, Canada. • Master’s Degree in IoT from Benha University, Egypt. • Bachelor’s Degree in Computer Engineering from Nahda University, Egypt. 💡 𝙏𝙤𝙥 𝙎𝙠𝙞𝙡𝙡𝙨: • 𝙈𝙖𝙘𝙝𝙞𝙣𝙚 𝙇𝙚𝙖𝙧𝙣𝙞𝙣𝙜 & 𝘼𝙄: Expertise in designing and developing LLM models, prompt engineering, and testing AI solutions using Python, TensorFlow, PyTorch, and Keras. • 𝘾𝙝𝙖𝙩𝙗𝙤𝙩 𝘿𝙚𝙫𝙚𝙡𝙤𝙥𝙢𝙚𝙣𝙩: Proficient in building intelligent chatbots using LangChain, LLMs, OpenAI APIs, and advanced prompt engineering techniques. • 𝙉𝙇𝙋 & 𝘾𝙤𝙢𝙥𝙪𝙩𝙚𝙧 𝙑𝙞𝙨𝙞𝙤𝙣: Extensive experience in natural language processing, deep learning, and computer vision applications. • 𝙎𝙘𝙞𝙚𝙣𝙩𝙞𝙛𝙞𝙘 𝙍𝙚𝙨𝙚𝙖𝙧𝙘𝙝: Strong background in conducting and publishing research, particularly in AI and machine learning. • 𝘾𝙤𝙣𝙩𝙚𝙣𝙩 𝙒𝙧𝙞𝙩𝙞𝙣𝙜: Experienced in creating high-quality content, including articles, research papers, and technical documentation. • 𝘾𝙡𝙤𝙪𝙙 𝙋𝙡𝙖𝙩𝙛𝙤𝙧𝙢𝙨: Proficient in AWS and Azure for scalable AI deployments. 🛠️ 𝙋𝙧𝙤𝙛𝙚𝙨𝙨𝙞𝙤𝙣𝙖𝙡 𝙀𝙭𝙥𝙚𝙧𝙞𝙚𝙣𝙘𝙚: • 𝘼𝙥𝙥𝙡𝙞𝙚𝙙 𝙎𝙘𝙞𝙚𝙣𝙩𝙞𝙨𝙩 𝙄𝙄 𝙖𝙩 𝙈𝙞𝙘𝙧𝙤𝙨𝙤𝙛𝙩: Enhance search technologies at Microsoft. • 𝘼𝙧𝙩𝙞𝙛𝙞𝙘𝙞𝙖𝙡 𝙄𝙣𝙩𝙚𝙡𝙡𝙞𝙜𝙚𝙣𝙘𝙚 𝘾𝙤𝙣𝙨𝙪𝙡𝙩𝙖𝙣𝙩 𝙖𝙣𝙙 𝙍𝙚𝙨𝙚𝙖𝙧𝙘𝙝𝙚𝙧 𝙖𝙩 𝙇𝙪𝙢𝙞𝙣𝙖 𝘼𝙄-𝙐𝙎𝘼: I authored two research papers in text classification and tabular experiments, • 𝙈𝙖𝙘𝙝𝙞𝙣𝙚 𝙇𝙚𝙖𝙧𝙣𝙞𝙣𝙜 𝙋𝙧𝙤𝙟𝙚𝙘𝙩 𝘼𝙪𝙩𝙝𝙤𝙧 𝙖𝙩 𝙀𝙙𝙪𝙘𝙖𝙩𝙞𝙫𝙚: Created an educational computer vision project and Currently developing a smart chatbot using new tech tools. • 𝘼𝙄 𝙈𝙚𝙣𝙩𝙤𝙧 𝙖𝙣𝙙 𝙎𝙚𝙨𝙨𝙞𝙤𝙣 𝙇𝙚𝙖𝙙 𝙖𝙩 𝙐𝙙𝙖𝙘𝙞𝙩𝙮: Teaching programming and AI fundamentals to a predominantly teenage audience. Recognized for excellence as a top session lead, adept at simplifying technical subjects. • 𝙈𝙖𝙘𝙝𝙞𝙣𝙚 𝙇𝙚𝙖𝙧𝙣𝙞𝙣𝙜 𝙀𝙣𝙜𝙞𝙣𝙚𝙚𝙧 𝙖𝙩 𝙏𝙖𝙡𝙚𝙣𝙩𝙨 𝘼𝙧𝙚𝙣𝙖 (𝘼𝙥𝙧 𝟮𝟬𝟮𝟭 – 𝘼𝙥𝙧 𝟮𝟬𝟮𝟰): Developed a job recruitment recommendation system using advanced techniques like NLP and neural networks. Worked on Software-as-a-Service products and quadrant vector databases for better data management. • 𝘼𝙄 & 𝘿𝙖𝙩𝙖 𝙎𝙘𝙞𝙚𝙣𝙘𝙚 𝙄𝙣𝙨𝙩𝙧𝙪𝙘𝙩𝙤𝙧 𝙖𝙩 𝘼𝙈𝙄𝙏-𝙡𝙚𝙖𝙧𝙣𝙞𝙣𝙜: Developed and delivered course materials on topics including ML, DL, NLP, and Generative AI. 🏆 𝘾𝙚𝙧𝙩𝙞𝙛𝙞𝙘𝙖𝙩𝙞𝙤𝙣𝙨: • Azure AI Engineer Associate (AI-100, AI-900) and Azure Data Scientist Associate (DP-100, DP-900) from Microsoft. • Predictive Analytics Modeler (SPSS), Artificial Intelligence Analyst, Big Data Engineer from IBM. • AI Associate from Huawei, and Huawei Seed for the Future certification. • Build Your Own Chatbots from Cognitive Class.ai. • 240 Hours of Business Conversational Course from Berlitz Corporation. • 200 Hours of Leadership & Management Program from Dale Carnegie. 🔍 𝙒𝙝𝙖𝙩 𝙎𝙚𝙩𝙨 𝙈𝙚 𝘼𝙥𝙖𝙧𝙩: • 🚀 𝙈𝙞𝙘𝙧𝙤𝙨𝙤𝙛𝙩 𝙄𝙢𝙥𝙖𝙘𝙩: I enhance search technologies at Microsoft, improving user experience for millions. • 🌟 𝘿𝙪𝙖𝙡 𝙀𝙭𝙥𝙚𝙧𝙩𝙞𝙨𝙚: With master’s degrees in AI and IoT, I merge advanced AI with practical IoT solutions. • 🎯 𝙄𝙣𝙣𝙤𝙫𝙖𝙩𝙞𝙤𝙣-𝘿𝙧𝙞𝙫𝙚𝙣: I don’t just follow trends—I create them. Whether it’s developing cutting-edge LLM models or pioneering new AI techniques, I’m always pushing the boundaries of what's possible. • 💬 𝙈𝙖𝙨𝙩𝙚𝙧 𝙤𝙛 𝘾𝙝𝙖𝙩𝙗𝙤𝙩𝙨: From building smart chatbots to fine-tuning prompt engineering, I bring conversations to life with advanced AI that feels almost human. • 📚 𝙍𝙚𝙨𝙚𝙖𝙧𝙘𝙝 𝙀𝙣𝙩𝙝𝙪𝙨𝙞𝙖𝙨𝙩: With a deep passion for scientific research, I turn complex theories into actionable insights, bridging the gap between academia and industry. • 🧠 𝘼𝙄 𝙀𝙙𝙪𝙘𝙖𝙩𝙤𝙧: As an instructor at AMIT, Epsilon, and Udacity, I make complex AI topics accessible. • 🤝 𝘾𝙤𝙡𝙡𝙖𝙗𝙤𝙧𝙖𝙩𝙞𝙫𝙚 𝙄𝙣𝙣𝙤𝙫𝙖𝙩𝙤𝙧: I thrive on teamwork, driving innovation, and delivering client-focused solutions.

As an experienced professional with a strong educational and research background in Computer Science, I am dedicated to delivering innovative, high-quality solutions for your machine learning, deep learning, and data analysis projects. I have a deep passion for leveraging cutting-edge technologies to solve complex challenges and help clients transform data into actionable insights. Expertise: Machine Learning & Deep Learning: Proficient in Python, TensorFlow, Keras, and other state-of-the-art frameworks. I specialize in building and deploying robust machine learning models, including regression, classification, clustering, NLP, image recognition, anomaly detection, recommendation systems, and time series forecasting. Data Scraping & Web Crawling: Skilled in extracting data from various sources, including complex websites requiring JavaScript/AJAX parsing and login authentication. Data Analysis & Interpretation: Strong expertise in interpreting and analyzing data to provide valuable insights that add real value to businesses. I can deliver data in any format you require—CSV, JSON, MySQL, PostgreSQL, NoSQL (MongoDB), and more. Why Work with Me? Full-Time Freelancer: Available to dedicate my time and expertise to your project with a focus on fast, accurate results. I ensure open communication, client satisfaction, and on-time delivery. Detail-Oriented: I prioritize meticulous attention to detail, ensuring that every project I undertake meets your specific requirements and exceeds your expectations. Creative Problem-Solving: Whether working independently or within a team, I bring a creative approach to each project, adapting my knowledge to your unique needs and challenges. If you need a reliable and adaptable professional who can drive results in today’s data-driven world, let’s connect. I’m excited to bring your projects to life with powerful machine learning, deep learning, and data solutions. Looking forward to working with you!

I am a computer vision and robotics researcher with tensorflow and keras experience, I have been working on Afaan oromoo language text-to-speech and vice versa for a while. Currently working on tomato leaf disease detection and classification and published a paper entitled "Coffee disease detection and visualization" with my colleagues.

As for technology and science jobs, there are opportunities for both lecturers and engineers. My name is Amanuel, but you can call me Aman. Currently, I work as a lecturer in IoT at the Department of Electromechanical/Mechatronics Engineering. I have been working in this field over four years. For my M.Sc. thesis in Mechatronics Engineering, I designed an AI-based autonomous robot intended for hospital use. This robot employs deep reinforcement learning (DRL) and DL-based robots using programming languages such as Python and C/C++. I built a prototype of this robot using the NVIDIA JETSON NANO 2GB developer kit and ARDUINO UNO as master and slave. The SGD (Stochastic Gradient Descent) algorithm is an essential algorithm for Gradient Descent that was used in this project. I also have extensive experience with SolidWorks and AutoCAD and have used MATLAB to implement classical controllers such as PI and PID, interfacing them specifically with SolidWorks. Consequently, I believe I am well-equipped to collaborate with and support individuals in the field of AI and programming. **** SERVICE AREAS **** 🟠 Machine Learning: ✅ Machine learning model development and implementation ✅ Data preprocessing and feature engineering ✅ Supervised learning (classification, regression) ✅ Unsupervised learning (clustering, dimensionality reduction) ✅ Deep learning and neural networks ✅ Natural language processing (NLP) tasks ✅ Recommendation systems ✅ Time series analysis and forecasting ✅ Model evaluation and performance optimization 🔴 Computer Vision: ✅ Image classification and object recognition ✅ Object detection and localization ✅ Image segmentation ✅ Facial recognition and biometrics ✅ Image and video analysis ✅ Feature extraction and representation learning ✅ Optical character recognition (OCR) ✅ Pose estimation and tracking 🟣 Model Evaluation and Performance Optimization: ✅ Model validation and evaluation metrics ✅ Hyperparameter tuning and optimization ✅ Performance optimization for scalability and efficiency ✅ Debugging and troubleshooting ML models **** Proficient in the following PYTHON Libraries for ML/DL projects **** ✔️Tensorflow ✔️ Keras ✔️ PyTorch ✔️ Pandas ✔️ NumPy ✔️ SciPy ✔️ Python Scikit-Learn ✔️ Statsmodels ✔️ Matplotlib ✔️ OpenCV ✔️ PIL **** Successfully Completed jobs in Upwork **** ➡ Emotion detection using CNN on the FER2013 dataset: Video Classification Deep Learning ➡ Stock price prediction using different predictive algorithms: Need an AI expert for stocks ➡ Computer vision using YOLOv5 PyTorch model: Weapon detection using Yolo and SURF Algorithm ➡ Building Predictive model for stocks (ForEex ): Build me a deep learning AI model from my data ➡ Build speech synthesis model using BARK, Tortoise, and SVC pre-trained models: Voice Cloning text to speech (custom voice) ➡ Create an object detection AI model for refrigerators and turn it into an API ➡ Python Developer - Depth-Enhanced CNN Model Specialist ➡ Research and Compare various AI Models ➡ Data Analyst and Engineer **** Successfully Completed projects **** ✳ ML-based Stroke prediction ✳ Apple Price Prediction using RNN/LSTM ✳ Sign Language Recognition System using Random-Forest ML algorithm ✳ Alphabet Recognition (EMNIST) based on OpenCV, Convolutional Neural Network (CNN) ✳ Object Detection-DL and OpenCV ✳ ML-based Stroke prediction: LR, RNN/LSTM, Random-Forest, and Decision-Tree algorithms. ✳ AI/DL-based Autonomous navigating and patient follower robot using Nvidia Jetson Nano DK