Hello, I am a research associate at the Robotics Institute in Carnegie Mellon University. I have worked on the development of deep learning algorithms for 3D vision and ultrasound image segmentation. During this process, I have successfully published 3 papers in NeurIPS and 3DV conferences. Along with it, I have hands on experience in reinforcement learning. I believe that the important thing is not to stop questioning. Curiosity has its own reason for existing. I believe in deliverables and love to follow the deadlines. My GitHub: https://github.com/vinits5 My Portfolio: https://vinitsarode.weebly.com/...

Computer Engineer Average-Pointer-9.32 CGPA Skills: Web Development,JAVA,Aritifical Intelligence....

Sayantani is a professional in areas of Machine Learning, Deep Learning, Natural Language Processing, Computer Vision and Data Science. Having completed her Bachelor's from University of Calcutta in Computer Science, she is currently a post-grad at IIITM, Kerala. With demonstrated history of works and explorations ranging from textual analysis on low volume data, numerical trend mapping, object detection, depth estimation, and even sales building, she has pioneered associateship in both sales and IT world. She had worked for international clients on cloud point images and their consequent depth predictions at Reflections Info Systems Pvt Ltd and has been pivotal in building local market as a sales associate for Oriflame Products. With an aim towards creating innovation, her works are highly analytics driven and has been featured as real time solutions in both industry and academia....

A research enthusiast particularly in the field of computer vision more particularly to connect AI for healthcare and for social good. My projects were recognized for publications in books and conferences by Springer journal, by researchers in Nano science department of AIMS cochin and also by various domain experts in the same field as a valuable contact. Visit my site -https://sites.google.com/view/harininarasimhan/home...

A professionally experienced Data Scientist 2+ years who can bring a diverse skill set and a creative drive to the multidisciplinary domain of data science. I am highly proficient in fields like Machine learning , Statistical Tests , Exploratory Data analysis , Hyper ParameterTuning​ , Model Development and Deployment etc . ​ My abilities as a Data Scientist are rooted in a sturdy education in mathematics and programming . I am adept in programming languages like Python , Java , R , SQL and all the necessary tools to carry out the ETL , model training , debugging , logging etc . On top of it , I have experience using cloud platforms like AWS and GCP which further abets my skill stack ....

Hi, I am a master student of electrical engineering with a research field related to Image Processing, Computer Vision. Work projects that I have made such as cataract classification using backpropagation neural network, Covid-19 classification etc....

Currently I am doing PhD in IIT Kanpur, and my work is mainly focuses on developing the robotics application using machine learning techniques. From last couple of years I am using various computer vision techniques for the task of object detection and localization, object segmentation and tracking of objects in the image plane. Further, all the computer vision techniques must be integrated on the robotic system to automate the variety of tasks like construction automation, autonomous grasping and object transportation....

I am 22 years old, with a Bachelor's degree in Engineering. My area of expertise is Computer Vision and Object Detection...

Certified AI, ML & Quant Researcher and a R&D Specialist with a demonstrated passion of working in the Investment Banking, Research, Technology , FinTech, SaaS, Hospital & Health care and Telecom industry. Skilled in Core python, AI, ML, NLP & NLU Task, Oop, Data Viz, , Quantexa & KDB+/Q Development, Spark, Apache Hive, Hadoop AWS SageMaker, Financial & Risk Modelling Zipline, Quant Alpha Research, Algo Trading, Spring, AWS cloud, Azure DevOps. Pinned Open Source Contributions : OpenAI GPT3- Largest Autoregressive Language Model with Capacity of 175 billion machine learning parameters, Netflix Chaos Monkey - Chaos Monkey is a resiliency tool that helps applications tolerate random instance failures. Quantopian Zipline - Zipline is a Advanced Pythonic algorithmic trading library. It is an event-driven system for backtesting engines. DeepMind Acme - Acme is a library of reinforcement learning RL/DRL agents and agent building blocks. Acme strives to expose simple, efficient, and readable agents....