About

Vikas Sangwan is an accomplished software engineer with over 4 years of experience in software engineering and machine learning. He has a proven track record of delivering end-to-end projects that have helped his employers expand their product lines and increase their revenue stream. Vikas is highly skilled in data structures, algorithms, and problem-solving, and has extensive experience working with Python, Flask, MySQL, Elasticsearch, Numpy, Pandas, xgboost, scikit-learn, and Google Cloud Storage. He is also proficient in GCP and AWS products and has experience in designing and developing scalable services with high Transactions per second. Vikas has a strong background in designing and developing AI-powered systems and has worked on a variety of data science, computer vision, and NLP problems. He was awarded Star Performer of the Quarter across all teams in Tabsquare.ai for his work on their dish recommendation system. Vikas designed and developed a RESTful service that replaced the monolithic service and reduced the response time by 80% (2 seconds to 400 MS) (P95). The service was scaled to serve 420k+ users per month by doing database query optimizations and using Elasticsearch cluster. He also built an end-to-end recommendation system for AI Engine achieving an average top3 accuracy of 78.3% in dish adoption and contributed to an 8.9% increase in revenue. Vikas also designed and developed the JSUP cold start system that helped to provide AI services to the end-users from Day one of onboarding. Vikas holds a degree in Computer Science from Maharaja Agrasen Institute of Technology and completed his schooling from Army Public School. He has an extensive tech stack that includes Research Scientist, Python, AI, XGBoost, AWS, Software Engineer, Scikit, Elastic Search, Data Scientist, MySQL, Recommendation system, Computer Vision, Pandas, Flask, NLP, ML, GCP, OpenCV, Tensorflow, and Pytorch. With a relevant experience of 5.70 years, Vikas is currently working as a Computer Scientist at Adobe. His expertise and passion for software engineering and machine learning make him a valuable asset to any organization.