Vinayak Tiwari — Software Engineer

As a Senior Software Engineer - AI and Data Science at GreyOrange, my responsibilities include developing and implementing innovative solutions to solve complex warehouse automation challenges using AI/ML and path planning algorithms, reading research papers and figuring out actionable items for developing innovative solutions -Worked on Optaplanner based task planner built on Job-Shop scheduling and Capacitated VRP algos , utilising solvers like Tabu search, simulated annealing , hill climbing etc. -Designed and developed feature generation pipelines for spatiotemporal data to improve model training and inference for warehouse congestion modeling. -Utilizing deep learning techniques, such as ConvLSTMs and Graph Neural Networks, to predict traffic congestion and estimate robot travel times. -Integrated predicted congestion information to optimize task allocation and enhance operational efficiency. -Built Interactive grafana dashboards for model monitoring and metrics evaluation and debugging I have a strong academic background and research experience in signal processing and machine learning, with a Master of Technology degree from Netaji Subhas Institute of Technology and multiple certifications from Stanford Online, Udemy, and ISRO. I have also been a research and teaching assistant, working on deep learning for biomedical imaging and conducting lectures and labs for bachelor students on various topics, such as machine learning, signal processing, optimization techniques, and adaptive learning. I am passionate about applying data science and AI to solve complex and challenging problems in different domains, such as E-Commerce, warehouse robotics, constraint optimization, and image processing.

Stackforce AI infers this person is a Logistics and AI/ML specialist with a focus on warehouse automation.

Location: New Delhi, Delhi, India

Experience: 4 yrs 11 mos