Presently pursuing my M.Sc. degree in Biomedical Engineering at Bangladesh University of Engineering and Technology, Bangladesh. I am currently working on biomedical signal processing and deep learning-based health informatics projects as an active member of the m-health lab. My other research interests include biomedical simulations, biomedical Instrumentation, and edge device optimization. I am pretty much proficient in python and Matlab programming.

Namaste 🙏! I'm a passionate Data Scientist with an academic foundation from Northwestern University, deeply committed to advancing AI and Machine Learning across healthcare, computational biology, and scientific discovery—with particular strength in mathematically rigorous, FDA-aligned model development. Over the past year, I have successfully designed and implemented AI-driven solutions for ECG classification, denoising, medical imaging, and computational chemistry. My expertise blends deep neural architectures with advanced mathematics—Physics-Informed Neural Networks (PINNs), probability theory, stochastic processes, variational methods, and numerical optimization—to solve complex real-world problems with scientific defensibility. 🏥 FDA-Ready Clinical AI Development I have worked closely with FDA regulatory experts to bring models through clinical validation pipelines, ensuring they meet the rigor expected of medical-grade AI. My team is well-equipped to handle FDA documentation requirements (510(k) submissions, Software as a Medical Device (SaMD) artifacts, predicate analysis, validation reports, and risk management per IEC 62304 / ISO 14971) once a model is ready for launch. This means clients don't just get a working model—they get one built with regulatory submission in mind from day one. 🔬 Recent Work & Expertise in AI for Science & Medicine: ✅ ECG Signal Processing & Classification: Built deep learning models (CNNs, LSTMs, Transformers) for denoising, anomaly detection, and classification of ECG, PCG, PPG, and SCG signals—bringing them to gold-standard PhysioNet quality. ✅ Medical Image Processing (DICOM): Developed AI-driven solutions for lumbar spine classification, CT segmentation (TotalSegmentator models), fat tissue segmentation, bone mineral density estimation, and venous insufficiency detection via thermal imaging. ✅ Physics-Informed Neural Networks (PINNs): Applied PINNs to embed governing differential equations directly into the loss function—producing models that respect physical laws, generalize on sparse data, and are inherently more interpretable for scientific and clinical applications. ✅ Drug Discovery & Computational Biology: Used ML techniques to analyze molecular structures and optimize pharmaceutical compound discovery. ✅ Diffusion Models for Vision: Worked on Stable Diffusion and LoRA fine-tuning for text-to-video and image-to-video pipelines without relying on third-party APIs. ✅ AWS AI/ML Pipeline Deployment: Set up cloud-based pipelines on AWS for training, hosting, and deploying scalable ML models. ✅ Mathematical & Optimization Techniques: Leveraged variational calculus, FFT, wavelet transforms, probability theory, and evolutionary algorithms for feature engineering and model enhancement. 🧠 Core Technical Stack: 🚀 Deep Learning Frameworks: TensorFlow, PyTorch, JAX 📐 Mathematical Foundations: PINNs, probability and stochastic processes, variational calculus, numerical optimization, Bayesian inference 🔬 Generative & Diffusion Models: Stable Diffusion, LoRA, GANs, VAEs 📊 Classical ML: Random Forest, SVM, Gradient Boosting, RAG-based retrieval 👁 Computer Vision: CNNs, Vision Transformers, OpenCV, DICOM processing using SwinUNETR (3D U-Net + Swin), segmentation with nnU-Net 📝 NLP: Transformer-based LLMs, Hugging Face, LangChain, LlamaIndex 💡 Signal Processing: FFT, spectrograms, wavelet transforms, optimization methods ☁ Cloud & MLOps: AWS, Azure, GCP, Kubernetes, FastAPI, DevOps pipelines Why Work With Me? 🔹 Specialized in AI for healthcare, computational biology, and scientific discovery 🔹 Strong mathematical and probabilistic foundation—not just black-box deep learning 🔹 Experience working alongside FDA experts on clinical validation, with a team prepared to handle regulatory documentation 🔹 End-to-end delivery: from research and prototyping to deployment and submission-ready artifacts 🔹 Real-world projects that impact both research and industry Let's connect and build scientifically rigorous, regulation-ready AI together!

AI / ML / Agentic AI LLM / Langchain / RAG ChatBots AI / Machine Learning & Computer Vision specialist with hands-on experience building, training, and deploying deep learning models for real-world applications. I specialize in YOLO-based object detection/segmentation and image processing, with a strong background in PyTorch, TensorFlow, and OpenCV, Plus modern RAG and agentic AI LLM systems using LangChain and LangGraph. Key Expertise YOLO Object Detection & Segmentation: Custom training/tuning (YOLO v8–v12), dataset prep, evaluation, and edge AI deployment on Jetson Nano. RAG & Agentic AI: Retrieval-augmented generation with LangChain/LangGraph, vector stores (Pinecone, ChromaDB), tool use, memory, and guardrails. Recommendation AI Engine Systems. Model Deployment & Optimization: Packaging for production (REST), quantization/acceleration where applicable; VM-based deployments. Full Pipeline Development: Data collection → labeling → training → testing → Flask/FastAPI REST APIs → monitoring. MLOps & CI/CD: Experiment tracking, versioning, reproducible workflows, and automated delivery with GitHub/GitLab. API Integration & Apps: Secure API integration with third-party services; Flutter front-ends that consume ML APIs. Cloud & Storage: AWS S3 for datasets/artifacts; deployable on cloud VMs or on-prem. Frameworks & Tools PyTorch, TensorFlow/TFLite, OpenCV, scikit-learn, Pandas, NumPy LangChain, LangGraph, RAG, LLM, Pinecone, ChromaDB Flask, FastAPI (REST API deployment) Databases SQL, MySQL, PostgreSQL, Supabase GitHub, GitLab (MLOps/CI-CD) Google Colab / Jupyter Notebook AWS S3, VM-based deployments React & Flutter (client apps & dashboards)

I'm a developer with over 15 years development experience in many fields, including computer vision and deep learning solution, full-stack development, Python data process, web service application, LLM application and so on. With rich software architect experience, I could also help you on software architecture, building tech stack at project start phase. With rich software solution experience, I could analyze requirement document and provide necessary project plan, feature design and so on. • skill set include: Python, C/C++/C#, java script, vue.js, PHP, java, web service • experienced in computer vision, deep learning training & deployment solution • experienced in building big data solution in cloud computing environment • experienced in building LLM related project, like ChatGPT integration, finetune and API development • good at software performance optimization

I'm Vishwajeet Panda, a highly motivated and results-oriented tech professional with a passion for innovation and a proven track record of success. As a winner of the Smart India Hackathon in both 2022 and 2023, I possess strong technical expertise in Machine Learning (ML), Deep Learning (DL), and web development. My diverse skillset encompasses Python, TensorFlow, Keras, Scikit-learn, and more. I also have experience with MLOps, Flask, OpenCV,and web development frameworks. Here's what sets me apart: * My victories in Hackathons showcase my ability to tackle complex challenges and deliver innovative solutions, in tight deadlines. * My top priority is high quality work and I thrive on building successful partnerships and exceeding expectations. Ready to discuss your project? Leveraging my skills and experience to bring your vision to life. Contact me today to discuss how I can contribute to your success. Email: panda18vishu@gmail.com

🚀 Hey there! its me your go-to expert for all things Machine Learning Python, Deep Learning Python, Computer Vision Python, Data Science, Robotics, Image Processing, C++, Matlab , Ros, and Python. With a fiery passion for innovation and a knack for delivering exceptional results, I'm here to elevate your projects to new heights. 💡 🔬 My forte lies in harnessing the latest techniques and algorithms to craft intelligent, robust solutions. In the realm of Computer Vision, I excel in: - ✅ Object Detection - ✅ Object Tracking - ✅ Semantic Segmentation - ✅ Instance Segmentation - ✅ Object Recognition - ✅ OCR projects In the realm of Machine Learning, I specialize in: - ✅ Support Vector Machines (SVM) - ✅ Random Forest - ✅ Gradient Boosting - ✅ K-Nearest Neighbors (KNN) - ✅ Decision Trees In Deep Learning, I'm proficient in: - ✅ Convolutional Neural Networks (CNN) - ✅ Recurrent Neural Networks (RNN) - ✅ Generative Adversarial Networks (GAN) - ✅ Long Short-Term Memory Networks (LSTM) - ✅ Transformer Networks - ✅ LLM Fine Tuning - ✅ RAG using LLM I have extensive experience in various fields, including: 🏥 Medical Imaging: - ✅ X-ray Disease Detection - ✅ CT Scan Analysis - ✅ MRI Image Analysis - ✅ Disease Classification - ✅ Tumor Detection - ✅ Organ Segmentation - ✅ Analysis of microscopy images 🌾 Agriculture: - ✅ Weed Detection - ✅ Plant Disease Detection - ✅ Palm Trees Detection - ✅ Crop Classification - ✅ Crop Yield Prediction - ✅ Plant Segmentation - ✅ Precision Agriculture 🏙️ Smart Cities: - ✅ Traffic Flow Prediction - ✅ Pedestrian Detection - ✅ Urban Planning Analysis - ✅ Waste Management Optimization - ✅ Environmental Monitoring - ✅ Detecting safety violations from camera footage 📸 Surveillance and Security: - ✅ Anomaly Detection - ✅ Facial Recognition - ✅ Object Tracking in Video - ✅ Intrusion Detection Systems - ✅ Time Series data Analysis 🤖 Robot Projects: ✅ A Pathfinding Algorithm ✅ Dijkstra’s Algorithm for Navigation ✅ SLAM (Simultaneous Localization and Mapping) ✅ 2D/3D Mapping using ROS ✅ LIDAR-based Mapping ✅ Reactive Obstacle Avoidance using IR Sensors ✅ Dynamic Obstacle Avoidance with Sensor Fusion ✅ ROS-based Obstacle Avoidance in Autonomous Vehicles ✅ Gazebo-based Robot Simulation ✅ Autonomous Vehicle Simulation in Gazebo ✅ Gazebo with SLAM Integration ✅ Robot Path Visualization in RViz ✅ Sensor Data Visualization in RViz ✅ RViz for SLAM Visualization 🧠 General Image Labeling Projects ✅ High-Quality Image Annotation for Machine Learning Datasets (Bounding Boxes, Masks, and Keypoints) ✅ Custom Image Labeling for AI Vision Models — Fast & Accurate Dataset Preparation ✅ Manual Image Tagging and Classification for ML Dataset Training ✅ Expert Data Labeling for Image Recognition and Computer Vision Tasks ✅ Dataset Creation and Labeling for Object Detection and Tracking 🎯 Object Detection–Focused Projects ✅ Object Detection Dataset Preparation — Bounding Box & Polygon Annotation ✅ YOLO / COCO / Pascal VOC Dataset Labeling for Object Detection Models ✅ Bounding Box Labeling for Autonomous Driving, Retail, and Drone Vision ✅ Annotation Expert for Object Detection and Instance Segmentation ✅ Prepare and Label Images for Deep Learning Detection Models (YOLO, SSD, Faster R-CNN) 🌈 Semantic & Instance Segmentation Projects ✅ Pixel-Level Semantic Segmentation for Computer Vision Models ✅ Annotation Services for Medical Image Segmentation (CT, MRI, X-Ray) ✅ Semantic Segmentation Dataset Creation From wielding the powers of Keras, TensorFlow, and PyTorch to sculpting intricate neural network architectures for tasks spanning classification, object detection, segmentation, and natural language processing, I thrive on pushing boundaries. 🧠 📊 With a rich tapestry of projects under my belt, I've honed my skills in every aspect, from data preprocessing and feature extraction to model training and evaluation. I'm no stranger to taming colossal datasets and weaving magic with statistical analysis and data visualization. 📈 🖼️ But that's not all! I possess a keen eye for image processing wizardry, from sprucing up images to recognizing objects and slicing through visual data with precision. Whether it's powering autonomous systems or fueling robotics, I've got the expertise to make it happen. 🤖 ✨ My commitment to excellence is unwavering, reflected in my meticulous attention to detail, knack for problem-solving, and knack for effective communication. Your unique needs are my priority, and I'm dedicated to crafting tailored solutions that exceed expectations. 🎯 🌟 So, if you're on the hunt for a reliable, skilled freelancer to tackle your machine learning, deep learning, computer vision, data science, or robotics projects, look no further. Let's join forces and transform your visions into reality with cutting-edge technology. 🌈 💬 Reach out today, and let's start this journey towards success together! 🚀

Many computer vision models work in a notebook but fail in production. I build OCR, detection, and tracking systems that actually run in real environments so your team can automate workflows and extract real business value from visual data. I work with companies and startups who need robust AI pipelines for document automation, traffic monitoring, retail analytics, or custom visual AI applications. If you want a low-budget experiment with no clear success criteria, I’m probably not the best fit. 🔎 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸 𝟭. 𝗜𝗻-𝗗𝗲𝗽𝘁𝗵 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆 I begin each project by understanding your goals, constraints, and success metrics to ensure the solution meets your unique needs. 𝟮. 𝗠𝗼𝗱𝘂𝗹𝗮𝗿 𝗣𝗿𝗼𝗯𝗹𝗲𝗺-𝗦𝗼𝗹𝘃𝗶𝗻𝗴 I break complex tasks into smaller parts and test multiple approaches to find the most effective solution. This ensures reliable results you can trust. 𝟯. 𝗟𝗲𝘃𝗲𝗿𝗮𝗴𝗶𝗻𝗴 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 & 𝗖𝘂𝘀𝘁𝗼𝗺 𝗠𝗲𝘁𝗵𝗼𝗱𝘀 My toolkit includes all major computer vision tasks: Classification, detection, tracking, and segmentation. I combine off-the-shelf models with custom-built methods to achieve top-notch performance. 𝟰. 𝗖𝗹𝗲𝗮𝗿, 𝗙𝗿𝗲𝗾𝘂𝗲𝗻𝘁 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻 I keep you updated at every step, provide realistic timelines, and immediately address any hurdles. Even if you’re not technical, I’ll explain everything in plain language so you always know where your project stands. 𝟱. 𝗔𝗹𝘄𝗮𝘆𝘀 𝗣𝘂𝘁𝘁𝗶𝗻𝗴 𝗬𝗼𝘂 𝗙𝗶𝗿𝘀𝘁 My clients consistently give me 5-star ratings and glowing feedback. If your requirements stretch beyond my skill set, I’ll be transparent and let you know right away. 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 & 𝟯𝗗 𝗣𝗲𝗿𝗰𝗲𝗽𝘁𝗶𝗼𝗻 For projects involving robotics, autonomous systems, or spatial analytics, I also build 3D perception pipelines using LiDAR, stereo cameras, and point clouds. This includes 3D object detection, Bird’s Eye View (BEV) transformations, and point cloud processing using deep learning. 𝗥𝗲𝗰𝗲𝗻𝘁 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝟭. 𝗠𝘂𝗹𝘁𝗶-𝗔𝗣𝗜 𝗢𝗖𝗥 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲: Combined Google Vision, OpenAI, and AWS Rekognition to increase document extraction accuracy across noisy images. 𝟮. 𝗦𝗰𝗮𝗻𝗻𝗲𝗱 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝘁𝗼 𝗘𝘅𝗰𝗲𝗹: Parsed key fields using Python + QwenVL and auto-generated Excel reports. 𝟯. 𝗟𝗶𝗰𝗲𝗻𝘀𝗲 𝗣𝗹𝗮𝘁𝗲 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻: End-to-end system with YOLOv8 trained on custom dataset and deployed for inference 𝟰. 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗟𝗶𝗗𝗔𝗥 𝗢𝗯𝗷𝗲𝗰𝘁 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 & 𝗧𝗿𝗮𝗰𝗸𝗶𝗻𝗴 Built a 3D detection and tracking pipeline using LiDAR and camera data with 3D bounding boxes, frame-to-frame association, and 2D/3D visualizations for autonomous navigation. 𝟱. 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗼𝗻 𝗣𝗼𝗶𝗻𝘁 𝗖𝗹𝗼𝘂𝗱𝘀 Trained PointNet and voxel-based 3D CNNs on ShapeNet Core for point cloud segmentation and classification, including full preprocessing and model visualization. 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 I work with Python, PyTorch, TensorFlow, OpenCV, YOLO, Open3D, and modern vision APIs (Google, AWS, OpenAI) to build detection, tracking, and OCR systems. 𝗪𝗵𝗮𝘁 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗦𝗮𝘆 "Yacine is reliable, very good at his job, and very informative. He was able to set up a POC, identify the main pitfalls, and propose solutions independently." "Yacine is committed to provide high quality work. He knows what he's doing. It's a pleasure to work together. I recommend him for data mining and vision work." "Yacine always does a great job on any computer vision related task, he delivered the project very quickly. I will definitely rehire him again whenever needed." 📬 Let’s Talk Send a message describing your computer vision problem and the data you’re working with. If it’s a good fit, we’ll discuss the next steps.

Hi, I am a Gold Medalist with a Master’s in Data Science and currently pursuing a Ph.D. in Deep Learning, specializing in academic research, thesis writing, and publication support for Master’s and PhD scholars. I help researchers with thesis and dissertation consultation from research design and methodology to statistical analysis, implementation, results interpretation, and journal ready paper. My expertise includes Artificial Intelligence, Machine Learning, Medical Imaging, Finance, Management, Cyber Security, Data Science, and advanced statistical modeling. I have published research articles in reputed journals and conferences and have extensive experience handling reviewer comments, improving manuscript quality, and preparing papers for Scopus, SCI, and IEEE-indexed venues. I also assist researchers preparing for EB1A, EB2-NIW, and O1 petitions by enhancing their scholarly profile through strategic publication planning, research documentation refinement, citation optimization guidance, and evidence-oriented research presentation aligned with USCIS standards. If you need support with: • Thesis or dissertation writing • Research methodology & statistical analysis • Machine learning model implementation • Systematic literature review • Journal paper publication • Academic Writing • Thesis Writing • Dissertation Writing • Research Papers • Technical Writing • Machine Learning • Data Analysis • Deep Learning • Statistical Analysis • Literature Review • Research Proposals • Journal Article Writing • SPSS • Python • Artificial Intelligence • LateX (Overleaf) I provide research-backed, plagiarism-free, AI-free, and technically strong research solutions. Technical Skills: Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Generative AI, Large Language Models (LLM), NLP, Natural Language Processing, Computer Vision, AI Model Development, AI Research, AI Model Training, Neural Networks, Python AI Development, AI Automation, Intelligent Systems, Predictive Modeling, AI Solutions. Machine Learning Model Development, Deep Learning Algorithms, Supervised Learning, Unsupervised Learning, Feature Engineering, Model Optimization, Hyperparameter Tuning, Explainable AI (XAI), AI Model Deployment, AI System Design. Generative AI Development, GPT Development, LLM Fine-Tuning, LoRA Fine-Tuning, QLoRA Fine-Tuning, Prompt Engineering, Retrieval Augmented Generation (RAG), LangChain Development, AI Chatbot Development, Conversational AI, AI Agents, Autonomous AI Systems. Computer Vision, Image Classification, Object Detection, Image Segmentation, YOLOv5, YOLOv8, ResNet, DenseNet, UNet, Medical Image Analysis, Vision AI, Image Processing, Video Analytics. Natural Language Processing, Text Classification, Text Summarization, Sentiment Analysis, Document Processing AI, Transformer Models, BERT, RoBERTa, BART, Pegasus, GPT Models, Hugging Face Transformers. AI for Cybersecurity, Intrusion Detection System (IDS), Network Security AI, IoT Security, Anomaly Detection, Cyber Threat Detection, and Deep Learning for Cybersecurity. Visit my Google Scholar profile for my published articles in various reputed journals and conferences. Search (Priyanka Pursani Israni) in Google Scholar.

Greetings! I am a PhD candidate in Statistical Machine Learning (ML), and a certified Machine Learning Scientist and Data scientist (Upwork & IBM) with both Master’s and Bachelor’s degrees in Statistics. My strong academic foundation equips me advanced data science and ML workflows. I specialize in developing predictive models for financial markets—particularly in crypto and stock price forecasting—using time series analysis, deep learning, and ensemble methods. My work also involves designing and backtesting algorithmic trading strategies, optimizing model performance under live market conditions, and building interactive dashboards for real-time data visualization and decision support. 🌟 Top Rated on Upwork – Consistent record of client satisfaction and delivery excellence. 🔍 Why Hire Me? ✅ Advanced ML Expertise I leverage cutting-edge techniques to deliver highly accurate and innovative predictive solutions. ✅ Comprehensive Tool Proficiency Programming: Python, R Dashboards & Visualization: Tableau, Power BI, Streamlit Statistical Software: SPSS, STATA, E-Views, Minitab Database & Cloud: SQL, Google Cloud (for scalable, production-ready ML deployments) ✅ Quantitative Research Strength Deep experience in algorithm design and time series forecasting enables trend prediction with exceptional precision. ✅ End-to-End Execution From data ingestion to predictive modeling and visualization, I manage the full pipeline with performance and clarity in mind. ✅ Clear Communication I break down complex ML models and insights into intuitive, actionable formats for stakeholders and non-technical audiences. 💼 What I Deliver: Predictive Modeling Time Series Forecasting & Analysis Interactive Dashboards in Tableau, Power BI, and Streamlit Risk Assessment & Optimization Models Feature Engineering & Model Tuning Visual Analytics & Business Intelligence

✅ Skilled Machine Learning Engineer with experience in applying AI to behavioral science, vision analysics, , agriculture, and computer vision, including the latest generative AI solutions. Focused on improving tools to maximize productivity, reduce latency, and adapt to business needs, with expertise in full Mlops implementation. If you are looking for guidance or complete project under the below domains. ➡️ Generative AI for your purpose: Can enhance, search do literatures review for better generative model for your use whether from text/video/audio or multimodal domains. ✅ Experiment different models from hugging face with better prompt engineering techniques and benchmark them ✅ Finetune using Lora, Qlora, and other complex architectures for resolving your problem on custom dataset ✅ For image generation finetune Stable diffusion using Dreambooth for better understanding. Comfy UI and replicate for easier flow of image generation pipeline ➡️ LLM: Deepseek, gpt, claude, llama, including pretraining, finetuning, prompt engineering, RAG approaches ➡️ Multimodal LLM: LLama 3.2, Multimodal RAG, LLAVA for vision task, Florence ➡️ Video Analysics: Merging of different deep learning and transformer based architecture for understanding of videos of sports, scenes, advertisements, action analysics etc ➡️ AI Agents: Agentic AI to solve the time taking work, CrewAI ➡️ AI workflow and Automations: No code automations tools like gumloop, make.com and N8N. Triggering specific events to provide you a new assistant. ➡️ Computer Vision: Text to image models, Object detection, and facial recognition etc. I am proficient in OpenCV, TensorFlow, PyTorch, and other. Amazon Rekognition. Transformer based (CLIP, SAM, YOLO World) ➡️ Natural Language Processing (NLP): Large Language models and transformers , AI chatbot, ChatGPT, BERT, SQUAD. Pretraining, Fine tuning, RAG based, prompt engineering ➡️ Data Science: I am proficient in data analysis, data visualization, and machine learning. I have experience in building predictive models, clustering algorithms, and recommender systems ➡️ AI Projects: Any AI, machine learning or deep learning project you have in mind Projects under the domain of Agri tech, finance, stocks exchange, business, manufacturing, transportation and health care. ❇️ Libraries tools: Pandas, Matplotlib, numpy, tensorflow, OpenCV, Langchain, NLTK, spacy, Pytorch, sklearn, FastAPI, mlflow, DVC, dagshub, Github CICD, Docker, langchain, hugging face, comfy UI, Replicate ❇️ Cloud deployment: Runpod, Heroku, Azure Devops AWS, Sagemaker, Azure , server less gpus architecture and more