I am a student at KALINGA INSTITUTE OF TECHNOLOGY .Aiming to professionally associate myself with an esteemed organization and secure a challenging and satisfying position where there is an ample scope for organization growth and an opportunity to utilize my creativity, intelligence and communication skills
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KINDLE_KNACK (06/2020 - 10/2021)
Microsoft Student's Partner - City University of Science & Information Technology
NSS SCE (2020 - 2021)
PMS RoBoTics Research Center,Pune
NIIT(NATIONAL INSTITUTE FOR INDUSTRIAL TRAINING)
Solved 1000+ DSA Question from Leetcode & HackerRank
Ranked 31,230 in Leetcode out of 10,00,000
5 star in SQL , 3 star in Problem Solving
Placement Training website (03/2022 - ongoing)
Advanced Campus Recruitment System(Superset) (12/2021 - 03/2022)
360 Degree Evaluation System (07/2021 - 09/2021)
Al-Enabled Fintech B2B Invoice Management Application (01/2022 - 04/2022)
PAYMENT-GATEWAY INTEGRATION (08/2021 - 09/2021)
SPRINKLE (E-Commerce website) (03/2021 - 04/2021)
HOD at KINDLE_KNACK Event
Coordinator at Microsoft Student's Partner - City University of Science & Information Technology
Volunteer at NSS SCE
Event Coordinator at PMS RoBoTics Research Center,Pune
Event Coordinator at NIIT :
Operational Management
04/2022 - ongoing
Build an website where payment gateway is Integrated.
2021 - 09/2021
B Tech Computer Science & System Engineering 2019 - 2023, Orrisa | C.G.P.A : 8.59/10
Build an SPRINKLE (eCommerce Website) on WIX Platform
03/2021 - 06/2021
Built an Al-Enabled Fintech B2B Invoice Management Application using bucket level prediction for bills. The prediction has been done using Machine Learning. The backend has been made using JAVA.
Operational Management
04/2022 - ongoing
Build an website where payment gateway is Integrated.
2021 - 09/2021
B Tech Computer Science & System Engineering 2019 - 2023, Orrisa | C.G.P.A : 8.59/10
Build an SPRINKLE (eCommerce Website) on WIX Platform
03/2021 - 06/2021
Built an Al-Enabled Fintech B2B Invoice Management Application using bucket level prediction for bills. The prediction has been done using Machine Learning. The backend has been made using JAVA.
Operational Management
04/2022 - ongoing
Linkedin : linkedin.com/in/rohit-kumar-2045261a8/
Mobile no.- 8521884141