Solutions Architect for Augmented and Mixed Reality Applications Design, Development and Deployment. Specialising in Augmented Reality Advertising, Training and Entertainment Systems development for android and iOS, WebAR and headset systems deployment. Computer Vision systems design and implementation - SLAM, Gesture, Hand Tracking, Object Detection, Occlusion and Collision Detection Specialist. Augmented Reality Systems performance optimisation for mobile. Motion Capture system design and choreography for immersive experiences. Motion Capture file repository, deep cloud and edge compute systems design for low latency mobile deployment....

I have done my Master's from the Indian Institute of ScienceIISc where I was pursuing ME in Communication NetworkECE. My ME project was based on Machine Learning where I was first introduced to the very exciting and interesting field of AI. I completed some related coursework there for eg. Random Process, Matrix Theory, Machine Learning. Then I joined as a Data Science Intern in a company. Programming Language: Python Data Wrangling: NumPy, Pandas, SciPy Visualization: Matplotlib, Seaborn Machine Learning: Scikit-Learn, TensorFlow, Keras Computer Vision: OpenCV4 Natural Language Processing: NLTK, Spacy MongoDB : PyMongo Web Scraping: Beautifulsoup, Selenium Notebook/IDE: Jupyter Notebook, Atom Other Tools: Git, Github, Latex...

This is Ramachandra, passionate about Data Science & Machine learning. I have done my M-tech in Aerospace engineering at IIT Kharagpur. I'm working as a full-time freelancer in Data Science & Machine learning. I'm expert in Python. I have good knowledge about ML & DL algorithms such as linear regression, logistic regression, decision trees, Random forest, Light GBM, XG boost, RNN & CNN's. I've used sampling methods such as SMOTE for handling imbalanced data. I'm good at going deep into the data to get the insights. I have implemented the revolutionary BERT model for Sequence classification. What Can I do for you? 1. Building the predictive models Regression & Classification using traditional ML & DL techniques. 2. Building image classifiers using CNN & the state of the art models like ResNet. 3. Building the Sentiment analyzer using traditional ML & DL techniques BERT, RNN 4. Building Chatbots using RASA framework....

DIPP StartupIndia, Niti Ayog PMO India certified high Tech R&D venture founded by a senior tech leader, entrepreneur and biz-dev mgr with a prolific track record of 24 years in - Advanced R&D cutting edge software/AI/ML and high performance VLSI IC, full product life cycle mgmt. including NPI, architecture & design, agile development, project execution & deployment; engg. mgmt. with rich experience of building/leading multi-site hardware/software R&D teams 300+ consisting of senior leaders/managers; partner/VC mgmt. and successful implementation of product/business strategies in tech giants Intel, Motorola, Sun Microsystems, Synopsys, Broadcom and startups health analytics, e-retail, smart & connected systems, AgTech, Ecommerce, digital transformation. Hands on expert in - AI/ML/DL/NLP/Comp Vision - Big data analytics, latest stacks - Fullstack mobile/web - IoT, VLSI IC, Embedded, EDA - Python, Java, C/C++, Verilog, SQL/noSQL, Front/BackEnd, Scala, Go, Angular, Node - Blockchain...

Greeting everyone, I have done graduation in Electrical Engineering and currently I am doing post graduation in Computer Science at NUST. I have vast experience in Image Processing and Android Development, Having good skills in different programming languages C++ Python, Java and Arduino. Moreover, I am always looking forward to solve problems which are relevant to computer science....

I'm a software engineer and now working on machine learning, deep learning, and computer vision-based projects. Interested in the research of artificial intelligence, robotics, etc...

I am a Machine Learning Engineer with 1+ years of experience and a Master's Degree in Machine Learning. I have a research paper on Multi-class sentiment classification in reputed journal. I have experience in building Machine Learning and Deep Learning Models and pipelines. Apart from Data Science I also have experience in Android development, Database administration and API development. I keep up with the new technologies by going through various articles and taking up online courses. Here, I am looking forward to work on interesting and challenging projects. I can assure you of timely and high-quality deliverables. I look forward to a long-lasting fruitful relationship with my clients. Some of the models I have worked on are: - NLP: LSTM, GRU, Bi-directional LSTM & GRU, BERT - Computer Vision: CNN, VGG16, VGG19, YOLO - MLP and Deep Neural Nets - ML: XGboost, Random Forest, SVM, and more - Recommender Systems - Exploratory Data Analysis...

Researcher - working in Computer Vision, Artificial Intelligence and Pattern recognition domains. Recently submitted my Ph.D. thesis titled- Entry-Exit Surveillance. Current research work is on Appearance-invariant person re-identification and Human Behavioral Analytics. Other research interests include - Automatic compilation of printed and handwritten programs, Segmentation and structuring of texts in documents, Automatic face recognition based attendance marking and Segmentation of medical images such as mammograms and diabetic retinopathy images. Overall, 4.5 years of research experience- hands-on experience with tools such as MATLAB, Python, Tensorflow for research work implementation purposes. 1 year of teaching experience- taught courses such as Problem-solving using C programming, Data structures, and Computer Architecture. 3.5 years of industry experience working for a Banking product in the Product Customization team....

Have 3 years industrial experience and have successfully completed projects in 1 Django 2 Flask 3 Open CV 4 Deep learning Have deployed projects on 1 AWS EC2 2 AWS Lambda Have done projects like 1 Web applicaiton in Django and Flask to accquire, transform, store and visualize date coming from front end devices 2 Developled a tool for custom image mask creation in Tkinter 3 Tool in Open CV and python to convert 2D images to 3D imagesPhotogrammetry 4 Design, train and deployment of custom deep learning network for semantic segmentation 5 Design, train and deployment of denoising auto encoder in tensorflow, to eliminate ringing noise and blocking artifacts 6 Design a platform to create Email campaign and monitor email events like Open, Click, Reject, Spam, Unsubscribe, Delivery and Bounce and generate the analysis for email campaign 7 Chat bot to interact with users on Whats App and give customised reply with screenshots of various web services available. And Many more......

I’m a people-person. I love meeting “I am passionate about my work.new people and learning about their lives and their backgrounds. I can almost always find common ground with strangers, and I like making people feel comfortable in my presence. I find this skill is especially helpful when kicking off projects with new clients.I am highly organised. I always take notes, and I use a series of tools to help myself stay on top of deadlines....