About

Vikash Mediboina is a graduate student in Hardware and Software Machine Intelligence at Northeastern University. He is an experienced Specialist Programmer with 2.85 years of relevant experience in the industry. Currently, he is working at Infosys, where he has developed models in ML and NLP for multiple use cases in the financial domain. Vikash has also created services using Python and NodeJS and used Elastic Search to give faster computation. He has implemented ELF for central-level logging across services, making him a valuable asset to the team. In his previous roles at Infosys, Vikash worked as a Senior System Engineer and System Engineer, where he deployed services in Linux servers, used Neo4j Db to give recommendations, and exposed APIs using Fast API. Vikash always works hard to solve problems in different ways rather than the normal way, and he has a strong track record of delivering high-quality work. Vikash's education history includes a Bachelor's degree in Electronics and Communications Engineering from Anil Neerukonda Institute of Technology & Sciences, an Intermediate degree in MPC from Sri Chaitanya College of Education, and a 10th-grade degree from Vignan Global Zen School. Currently, he is pursuing a Master's degree in Computer Engineering at Northeastern University, which he is expected to complete in 2024. Vikash's tech stack includes NodeJS, NLP, ML, Elastic Search, Search, Neo4j, and Python. He has a strong understanding of these technologies and has used them in his work at Infosys. Vikash is a dedicated and hardworking individual who is passionate about his work. He is always looking for new challenges and opportunities to learn and grow in his field.