About

Vaibhav Kumar Chaudhary is a Product Engineer at iVedha with a passion for solving real-life and business problems. He is committed to helping minorities, women, students, and non-tech pros pivot into tech. Vaibhav is known for his high energy, cutting through the crap, and providing clarity to others. During the day, Vaibhav spends his time analyzing user requirements, writing diagnostic programs, designing and writing reusable code with tests. He enjoys finding new solutions and experimenting with new technology. Vaibhav also leads the team and manages projects while helping in hiring new people. In his free time, Vaibhav enjoys reading, listening to tech podcasts, and cooking food. He is currently studying Deep Learning and trying Kaggle to check his improvements. Vaibhav is Certified in Deep Learning and has done projects such as Face emotion Classification in Real-time, Classify clothing image, Ethnicity prediction by name, and Signboard Translation from Vernacular Languages. Vaibhav's tech stack includes Ruby On Rails, Python, Django, flask, CV libraries, Tensorflow, PyTorch, PostgreSQL, MongoDB, MySQL, RabbitMQ, SideKiq, Amazon SQS, Vue.js, Angular.js, AWS, Terraform, Ansible, Shell Scripts, Docker, Kubernetes, CI/CD, Flutter, Actions on Google, Firebase, and MEVN stack. He is experienced in project management tools such as JIRA, AirTable, Trello, Asana, and Basecamp. Vaibhav is familiar with Agile and Scrum project management styles. Vaibhav has worked as a Full Stack Developer at iVedha inc. and as a Product Engineer at digitalxc service cloud. He has also worked as a Freelance developer at simpsoft solutions. Vaibhav holds a B.Tech degree in Computer Science from Heritage Institute of Technology and Jawahar Navodaya Vidyalaya, Darbhanga, Bihar. With 2.86 years of relevant experience, Vaibhav is a skilled software engineer with expertise in Ruby, Javascript, Deep Learning, Tensorflow, AWS, Pytorch, Docker, Ansible, Terraform, Django, MySQL, CI/CD, Flask, RabbitMQ, Kubernetes, MongoDB, DevOps, Frontend, VueJS, Computer Vision, and Mobile.