✌️🙂 Hey there! I'm a Generative AI Engineer and AI Researcher passionate about building intelligent systems that push the boundaries of artificial intelligence. My expertise spans deep learning, computer vision, and generative AI, with hands-on experience developing state-of-the-art models for object detection, segmentation, classification, and synthetic data generation. 💡 Whether your data is text, images, 3D models, video, audio, or time-series, I specialize in building, fine-tuning, and deploying AI solutions that drive real-world impact. 🏆 Why Work With Me? ✅ Custom AI Solutions – From foundation models to fine-tuned applications, I create AI-powered systems tailored to your needs. ✅ Clear Communication & Deliverables – Transparent project workflows, clear expectations, and best practices for deployment. ✅ End-to-End AI Development – Model training, optimization, cloud deployment, and infrastructure setup for scalable AI applications. 🛠 Tech Stack & Expertise Core: Python, Linux/Debian/MacOS, Git, Markdown AI & ML Frameworks: PyTorch, TensorFlow, Keras, OpenCV, Scikit-Learn Generative AI: Stable Diffusion, GANs, VAEs, LLM Fine-tuning, Transformers (Hugging Face) Data Science & Visualization: Pandas, NumPy, Matplotlib, Seaborn, Plotly Web & Cloud: Django, Flask, FastAPI, AWS, GCP, Kubernetes, Docker, PostgreSQL, MongoDB DevOps & MLOps: Airflow, Kafka, RabbitMQ, MinIO S3, Spark, Kubeflow, CI/CD Pipelines 🔥 Featured AI Projects 🧠 AI for Medical Workflows | Sonador Developed real-time AI-driven medical imaging workflows to assist radiologists with automated X-ray analysis, 3D imaging, and diagnosis acceleration. Leveraged deep learning and computer vision to create multi-modal AI systems that enhance diagnostic accuracy. 🖼 AI-Generated Visuals & Synthetic Data for Training Models Built custom GAN-based models for image synthesis, augmentation, and dataset expansion—enabling AI models to generalize better in production environments, particularly in healthcare and industrial applications. 🦠 Chest X-Ray AI | Detecting COVID-19 & Lung Diseases Developed a computer vision model for disease detection from X-rays, assisting radiologists in triaging patients in real-time. Leveraged deep learning classification networks to identify abnormalities with high precision. 🖥 Big Data & AI Ops | High-Performance ML Deployment Engineered bare-metal Kubernetes infrastructure for scalable AI workloads, including LLM fine-tuning, AI inference pipelines, and big data streaming with tools like Kafka, Celery, and RabbitMQ. 📞 Let’s build the future of AI together! Whether you're looking to integrate LLMs, generative AI, or computer vision models, I’m here to help. 🚀 Let's schedule a call and bring your AI project to life!

As a Top Rated Plus (Top 3%) AI Software Engineer with an 9-year track record and a 100% Job Success Score, I architect and deploy high-performance, production-grade AI solutions. My core passion lies in solving real-world challenges through intelligent vision systems, robotics, and optimized on-device machine learning. From developing algorithms for industrial automation to enabling autonomous navigation, I build robust, end-to-end systems that deliver measurable results. My primary areas of expertise include: 🤖 Computer Vision & Deep Learning: My deepest expertise is in designing, training, and fine-tuning state-of-the-art vision models. This includes complex projects in Object Detection (YOLO), Semantic/Instance Segmentation, and Anomaly Detection for industries like healthcare, semiconductor, and smart buildings. - Technologies: PyTorch, TensorFlow, OpenCV, Keras, Scikit-learn ⚙️ Robotics & Edge AI: I specialize in deploying and optimizing sophisticated AI models for low-latency, high-performance operation on embedded systems. My experience includes real-time video analysis, sensor fusion with 3D cameras, and enabling autonomy in robotic platforms. - Hardware: NVIDIA Jetson, Intel RealSense, Raspberry Pi, Arduino, Pepper Robot 📊 Data Science & Full-Stack Development: I build the complete infrastructure to support AI models, from data analysis and predictive modeling to creating scalable backends and intuitive user interfaces. - Stack: Python, C++, C# (WPF), FastAPI, React, SQL, MongoDB, AWS Additionally, I have experience developing applications with Large Language Models (LLM) like Llama3 and GPT-4 for chatbot and data processing tasks. I am dedicated to delivering clean, efficient code and maintaining clear communication throughout a project's lifecycle. Let's connect to discuss how my expertise in computer vision and robotics can bring your project to life.

→ 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 𝐅𝐫𝐞𝐞𝐥𝐚𝐧𝐜𝐞𝐫 | 𝟏𝟎𝟎% 𝐉𝐨𝐛 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 𝐒𝐜𝐨𝐫𝐞 → 𝐏𝐡𝐃 𝐢𝐧 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 | 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲 & 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 → 𝟏𝟓+ 𝐘𝐞𝐚𝐫𝐬 𝐨𝐟 𝐏𝐫𝐨𝐯𝐞𝐧 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐢𝐧 𝐀𝐈, 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 → 𝐓𝐫𝐮𝐬𝐭𝐞𝐝 𝐭𝐨 𝐃𝐞𝐥𝐢𝐯𝐞𝐫 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐑𝐞𝐚𝐝𝐲 𝐀𝐈 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝐆𝐥𝐨𝐛𝐚𝐥 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 → 𝐏𝐮𝐛𝐥𝐢𝐬𝐡𝐞𝐝 𝐢𝐧 𝐂𝐕𝐏𝐑, 𝐌𝐈𝐂𝐂𝐀𝐈, 𝐖𝐀𝐂𝐕, 𝐓𝐏𝐀𝐌𝐈, 𝐈𝐉𝐂𝐕 & 𝐈𝐂𝐑𝐀 I am a Senior AI/ML and US-trained Computer Vision Engineer with over 15 years of hands-on experience building, training, and deploying production-ready AI solutions. I specialize in Computer Vision, Deep Learning, Machine Learning, Medical Imaging, Healthcare AI, and Image Processing, delivering scalable and real-time AI systems using Python, modern deep learning frameworks, and optimized deployment pipelines for real-world applications. I hold a PhD in Computer Vision and have worked across industry and research on AI projects involving object detection, image segmentation, video analytics, OCR, medical imaging, surveillance systems, healthcare diagnostics, and intelligent automation. My focus is on end-to-end AI development, from data preprocessing and model training to deployment, API integration, and production-ready, scalable AI systems. I have also published numerous peer-reviewed research articles in leading computer vision and AI venues including 𝗖𝗩𝗣𝗥, 𝗠𝗜𝗔, 𝗠𝗜𝗖𝗖𝗔𝗜, 𝗪𝗔𝗖𝗩, 𝗜𝗘𝗘𝗘 𝗧𝗣𝗔𝗠𝗜, 𝗜𝗝𝗖𝗩, and 𝗜𝗖𝗥𝗔, ensuring that the solutions I deliver are research-validated and industry-ready. 𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝗮𝗻𝗱 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀: • Computer Vision, Machine Learning & Deep Learning • YOLO-based Object Detection & Tracking • Real-time Video Analytics & Inference Systems • Medical Imaging AI (CT, MRI, X-ray, Ultrasound) • Healthcare AI & Radiology Diagnostics • OCR, Document AI & Intelligent Data Extraction • AI Automation & Workflow Systems • Drone Analytics, Surveillance & Action Recognition • Image Segmentation, Classification & Feature Extraction • Edge AI & Optimized Model Deployment • Scalable AI Systems & Production ML Pipelines • AI Agents & Intelligent Systems 𝗠𝗼𝗱𝗲𝗹𝘀, 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 𝗮𝗻𝗱 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: • YOLO (YOLOv5 – YOLOv10) • Mask R-CNN, U-Net, DeepLabV3, EfficientNet • Custom CNN, GAN, Multi-Modal and Transformer-based vision models • Classical and deep image processing for Computer Vision and Medical Imaging pipelines 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝗸𝗶𝗹𝗹𝘀 𝗮𝗻𝗱 𝗧𝗼𝗼𝗹𝘀: 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴: Python, MATLAB, C++ 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: PyTorch, TensorFlow, Keras 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 / 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗜𝗺𝗮𝗴𝗶𝗻𝗴: OpenCV, SimpleITK, ITK, Image Processing Pipelines 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Scikit-learn, Pandas, NumPy 𝗢𝗖𝗥: Tesseract, PaddleOCR, EasyOCR 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: Flask, FastAPI, Docker, REST APIs, Model Serving 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻: Inference Optimization, Model Testing, Scalable AI Pipelines 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 • Principal Machine Learning Engineer in multi-vehicle tracking & real-time Computer Vision systems • Senior Computer Vision Scientist in surveillance, traffic monitoring, healthcare AI & medical imaging solutions • Contributor to projects funded by IARPA, Facebook, Google, HEC, NIJ, Xerox (USA) & US DTS My work in medical imaging AI has been recognized through Google and Facebook Research Awards, while contributions to sports video analytics, CCTV analytics, and healthcare AI have been acknowledged by HEC and top-tier venues such as CVPR. 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲 • Strong academia & industry expertise in AI, ML, Computer Vision & Healthcare AI • Experience in medical image processing, blood cancer detection & tumor segmentation • Clean, efficient, and production-ready code • Proven deployment experience in real-world and healthcare systems • Clear communication, dependable delivery, and scalable AI solutions 𝗪𝗵𝗮𝘁 𝗜 𝗖𝗮𝗻 𝗗𝗼 𝗙𝗼𝗿 𝗬𝗼𝘂 • Design custom ML models aligned with business and clinical goals • Deliver accurate, scalable, and reliable AI solutions • Simplify Computer Vision, Medical Imaging, and healthcare workflows • Support deployment and production integration 𝗜𝗳 𝘆𝗼𝘂 𝗮𝗿𝗲 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 𝗮𝗻 𝗔𝗜/𝗠𝗟 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿, 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿, 𝗼𝗿 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗜𝗺𝗮𝗴𝗶𝗻𝗴 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁 to build, optimize, and deploy custom AI solutions, I’m available to discuss your requirements and deliver reliable results.

⭐⭐⭐⭐⭐ I’m an AI & Automation Systems Architect with a strong background in full-stack engineering, Python development, machine learning, and DevOps. I focus on building intelligent systems that optimize how businesses operate by connecting tools, data, and workflows through automation and AI. I don’t just build applications. I design and implement systems where processes are automated, information is structured, and AI supports real operational decisions. What I Do ✔️ Analyze and optimize business workflows and information flow ✔️ Design AI-driven automation systems for operations ✔️ Build end-to-end automations using APIs, webhooks, and automation platforms ✔️ Integrate LLMs and machine learning models into real business workflows ✔️ Architect scalable backends, APIs, and data pipelines ✔️ Connect databases, CRMs, and tools into unified intelligent systems ✔️ Set up DevOps, CI/CD, containerization, and cloud infrastructure ✔️ Maintain, optimize, and scale existing systems Technical Expertise ✔️ Python, JavaScript, SQL ✔️ Django, Flask, React, Node.js ✔️ Machine Learning, LLM integration, embeddings, RAG architectures ✔️ PostgreSQL, MySQL, MongoDB, Redis ✔️ Automation platforms, API orchestration, webhooks ✔️ Docker, Kubernetes, CI/CD, AWS, GCP, Azure Approach I start by understanding how your current processes work. Then I design the system architecture. Then I implement automation and AI at the points where it creates measurable impact. The result is a reliable, AI-assisted operational system that improves efficiency and reduces manual work. Want to work together? I’d love to hear from you!

Most companies sitting on years of operational data still can't answer their most important questions: What will fail next? Where are we losing money? What should we do differently? I build the AI and ML systems that answer those questions — reliably, in production, not just in demos. I'm a PhD-trained Senior Applied AI & Data Scientist with 10+ years of experience translating messy, fragmented, domain-specific data into working decision-support systems. My background spans industrial operations, healthcare, agriculture, retail, and oil & gas — environments where the data is imperfect, the stakes are real, and generic solutions don't work. I have delivered production-ready AI/ML systems across several domains: - Retail security: anomaly-detection logic for security gate systems in large retail environments - Agriculture: greenhouse sensor analytics and ML-based decision-support for tomato production optimization - Oil & gas: production analytics, decline-curve interpretation, geospatial analysis, and forecasting dashboards - Healthcare: claims analytics, patient population classification, risk grouping, and payment workflow automation - Travel & pricing: recommendation systems, demand analysis, and personalized pricing automation - Research: peer-reviewed AI/ML and NLP publications, university-level collaboration What I typically build: - Predictive models and forecasting systems for operational and business decisions - Anomaly detection and risk scoring pipelines - Time-series and sensor data analysis - Explainable AI workflows with interpretable outputs for non-technical stakeholders - End-to-end ML proof-of-concepts and production-ready solutions for startups and enterprise teams I work best with clients who have a real business or engineering problem and need someone who can navigate unclear requirements, imperfect data, and domain complexity — and deliver something that actually works.

Greetings! I'm Salah Sammari, a dedicated Data Scientist with a focus on Natural Language Processing. Having accumulated over two years of hands-on experience in the realm of AI and machine learning, I'm reaching out to offer my expertise for your AI-driven endeavors. Professional Snapshot: My journey began with a solid foundation in Computer Science Engineering from the Higher School of Engineers Esprims in Tunisia. Over the past two years, I've been privileged to work with distinguished organizations such as DNEXT Intelligence SA and UBIAI. In these roles, I've not only implemented advanced NLP solutions but also successfully navigated challenges in trading platform optimization and extended data science training to budding enthusiasts. Core Competencies: NLP & Machine Learning: Expertise in various techniques ranging from sentiment analysis, topic modeling to Named Entity Recognition (NER). I've extensively worked with transformer models such as GPT, BERT, and LayoutLM. Programming & Tools: Proficient in Python and SQL (Postgres) with a keen understanding of data science libraries like Pandas-Numpy, Matplotlib-Seaborn, and Scikit-learn. My skill set also includes cloud platforms like AWS and Snowflake. Project Highlights: From developing AI-driven solutions for content filtering and recommendation engines to building transformer-based chatbots and leveraging OCR techniques, I've overseen multiple projects that required innovative problem-solving and rigorous model fine-tuning. Collaboration & Training: My cross-functional collaboration experience ensures smooth project executions. Additionally, as a Data Science Trainer at Ruspina Training Center, I've mentored over 150 students in Python, machine learning, and NLP. What Drives Me: I thrive on challenges and continually seek opportunities to apply my skills in diverse scenarios. My rank as a Kaggle Master, standing in the top 1%, speaks volumes about my passion for pushing the boundaries of what AI can achieve. The blend of rigorous academia, practical applications, and my incessant drive to learn has shaped my holistic approach to problem-solving.

I provide work to customers with a guarantee of quality and also offer a range of other services with excellence across Python projects in Machine Learning, Deep Learning, and Generative AI. Our motto: Quality, Creativity, and Client Satisfaction. I have been working on various projects that I mention below: ✨ Experience in Machine Learning (Supervised learning, Unsupervised learning, Reinforcement learning) ✨ Experience in Generative AI (LLM-based apps, RAG pipelines, AI Agents, Prompt Engineering) ✨ Experience in Natural Language Processing (Text Classification, NER, Sentiment Analysis, Embeddings) ✨ Experience in Time Series Forecasting (RNNs, LSTM, ARIMA, Prophet, Others) ✨ Experience in Deep Learning (ANN, CNN, RNN, LSTM, GAN, Transformers, Others) ✨ Experience in Computer Vision (Object Detection, Face Recognition, Others) I can also handle any project related to these: ✨ Classification Related Problems ✨ Regression Related Problems ✨ Clustering Related Problems (KMeans, DBSCAN, HDBSCAN, Hierarchical Clustering, Others) ✨ NLP Tasks (Text Preprocessing, Tokenization, Topic Modeling, Text Summarization) ✨ RAG-based Chatbots & Knowledge Assistants (LangChain, LlamaIndex, FAISS, Pinecone) ✨ AI Agents (OpenAI, Claude API, Tool Use / Function Calling, Multi-agent Systems) ✨ WhatsApp / Telegram / Web Chatbots powered by LLMs ✨ Data Analysis (Pandas, NumPy, Others) ✨ Data Visualisation (Matplotlib, Seaborn, Plotly) ✨ Dimensionality Reduction (PCA, LDA) ✨ Reinforcement Learning (Policy, Reward, DQN, Others) ✨ Prediction Related Problems And I will train and predict on your dataset using whichever models suit your problem best, such as: ✨ Artificial Neural Network (ANN) ✨ Convolutional Neural Network (CNN) ✨ Recurrent Neural Network (RNN) ✨ Long Short Term Memory (LSTM) ✨ Transformer-based Models (BERT, GPT-style architectures) ✨ Large Language Models (OpenAI GPT, Anthropic Claude, Open-source LLMs) ✨ Others Whether it's a classic ML pipeline, an NLP system, or a custom AI agent powered by LLMs, I focus on building solutions that are accurate, explainable, and production-ready.

With 6 years of experience, I'm Dr. Aakash Kumar. Chinese Academy of Science and The World Academy of Science (CAS-TWAS) Presidential Fellow and Ph.D. in Computer Science & Engineering from USTC, China. I'm currently a Research Scientist with 25+ peer-reviewed publications in journals like Neurocomputing, Applied Intelligence, and IEEE Transactions on Nanobioscience, and serve as a reviewer for 10 Springer/IEEE journals. Services: Deep Learning & AI — Model Optimization, DNN pruning, object detection (YOLOv5, SSD), reinforcement learning, spiking neural networks, LiDAR-camera fusion, LLM integration (RAG, generative AI). ML & Data Science — End-to-end pipelines: preprocessing, classification, fault detection, anomaly detection — validated across medical, UAV, and robotics datasets. Academic Writing & Editing — Research manuscripts, proposals, literature reviews, and technical reports written to publication standard. LaTeX & Document Prep — TikZ, pgfplots, moderncv, MS Word formatting, PDF services, journal/conference templates. Notable Publications DSQN: Mobile robot path planning via deep spiking Q-network — Neurocomputing, 2025 L1 Norm+Capped L1 Norm Model Optimization — Applied Intelligence, 2021 CorrNet: Correlation-based CNN pruning — IJMLC, 2022 Awards: CAS-TWAS Presidential Fellowship (2017) · Chinese Government Scholarship (2013) You're hiring a researcher who has published, peer-reviewed, and deployed the work — not just studied it. Let's get started.

"As an accomplished professional in machine learning, data science, natural language processing (NLP), and computer vision, holding a bachelor"s degree in AI and boasting a proven track record in both academia and industry, I offer a wealth of expertise to address your specific requirements. My specialization spans diverse domains, from deploying solutions on cloud platforms like AWS to optimizing performance on edge devices such as Jetson Nano. Whether your needs revolve around algorithm design or implementation, I possess the requisite skills and experience to effectively tackle your unique challenges. My repertoire includes a gamut of classical techniques like xgboost, random forest, SVMs, regression, decision trees, and various naive Bayes algorithms. Additionally, I am adept at handling cutting-edge algorithms such as convolutional neural networks (CNNs), transformers, RNNS, and LSTMs, among others. Leveraging these algorithms, I have developed solutions ranging from object detectors and classifiers to segmenters and tabular data analysis tools. Utilizing state-of-the-art AI tools and methodologies, I strive to deliver accurate and efficient results tailored to meet the specific needs of each client. Whether you require assistance with machine learning algorithms, data analysis, computer vision applications, or NLP tasks, I possess the requisite skills and expertise to offer top-notch service. If you seek a seasoned AI specialist with a bachelor's degree in AI to spearhead your next project, your search ends here! Reach out to me today to discuss your requirements and embark on our collaborative journey towards success!"

Data science Expert/Machine Learning/Deep Learning/NLP/COMPUTER VISION. --5+ Years of Professional Experience in Machine Learning -- Specialized in Generative AI, Image Generation, and Speech Generation AI & Generative Model Specialist | 5+ Years of Experience in Building Intelligent Solutions I am an AI specialist with over 5 years of hands‑on experience in machine learning, deep learning, and generative AI, bringing a solid research background and real‑world expertise to deliver cutting‑edge, production‑ready solutions. My work focuses on transforming complex ideas into intelligent, scalable systems that drive real business value. What I Bring to the Table Generative AI Mastery: Advanced expertise in GANs, VAEs, diffusion models for image, video, and speech generation. --LLMs & Multimodal AI: Skilled in designing, fine‑tuning, and integrating large language models with multimodal capabilities (text, image, and speech). --End‑to‑End ML/DL Development: From architecture design and model training to deployment and continuous optimization across platforms. --Diverse AI Applications: Delivered solutions for text‑to‑image, image‑to‑image, speech‑to‑text, text‑to‑speech, and voice cloning, along with content generation, image captioning, visual understanding, and speech synthesis. --Deployment Expertise: Optimizing AI models for cloud, mobile, and edge devices using PyTorch, TensorFlow, and NVIDIA frameworks for speed and efficiency. --Research & Innovation Published research in Reinforcement Learning at ICML (“Inverse Constrained Reinforcement Learning”) with applications in human‑in‑the‑loop generative model improvement. --Expertise in Reinforcement Learning from Human Feedback (RLHF)—a powerful technique used in building next‑gen LLMs and generative models. --Technical Toolbox --Core Areas: Generative AI, Computer Vision, NLP, Speech & Audio Processing, Multimodal AI, OCR, Large Language Models, Big Data Analytics --Frameworks & Libraries: TensorFlow, PyTorch, Hugging Face, Keras, OpenAI, CoreML --Tools & Platforms: FastAPI, Flask, CUDA, OpenCV, TFLite --DevOps & Cloud: AWS, GCP, Kubernetes, Docker, GitHub, GitLab Looking for an AI partner who can design, build, and deploy innovative solutions? Let’s bring your vision to life — whether it’s AI‑powered content creation, smart automation, or custom multimodal solutions, I can deliver results that exceed expectation Thank you for taking the time to review my profile.. I am very passionate about being a competent and contributing team player. I look forward to answering your questions and opportunities. Regards. Maryam khan