Hi There,
I'm Uttam kumar
i am into
About Me
A graduate(20-24) from Chandigarh University.
Skills: Front-end development, Backend development, Data Science, Machine learning, and a bit of DevOps.
Known Languages: Java, C++, C, Python, JavaScript.
age: 23
Graduted from: Chandigarh University
email: engineeringwithuttam@gmail.com
place: Pune, Maharashtra, India
Education is not the learning of facts, but the training of the mind to think.
Classify different breeds of dogs and predict the result with more accurate accuracy.[Numpy, matplotlib, Pandas and Mobilenet]
Oct 2020 and Oct 2021
Submitted 4 Valid PR's in each fest to organizations like Moja GLobal
Sept 2021 - Dec 2021
I am selected in GWOC(girlscript winter of contribution) as a role of contributor under 3 roles-
August 21
Working as coordinator with all the members of Codechef chapter in my college.
October 2021
Under the transcript team we work on refactoring the transcript of the talks which is automatically generated by an AI-system.
A part from transcript I've also contributed to their GitHub repositories with Github Actions, Resources, etc.
April 2022
April 2022
31, May - 31, August 22
July 2023
I've completed the summer internship in July-23 and winter internship in June-24.
August 1, 2024 - January 31, 2025
- DLQ Operations Tool: Built an end-to-end tool using ReactJS (TypeScript) enabling stakeholders to directly troubleshoot order messages without navigating multiple DLQs, increasing team productivity by 35%.
- Feature Extensions: Implemented tab-based navigation for Splunk queries and file downloads, streamlining operations before message deletion and reducing task completion time by 20%.
February 06, 2025 - present
- EDA Forecast Tool (Feature): Developed a history tracking feature for each table row, enabling admins to view modification logs using MUI Drawer in a ReactJS (TypeScript) UI, enhancing traceability and reducing manual tracking efforts by 40%. Enhanced existing .NET Web API to fetch logs by record ID
- EDA Forecast Tool (Database): Enhanced an existing stored procedure to include additional columns (original and modified values) in the result set, improving audit capabilities and reducing debugging time by 30%.