A good work culture
Opportunity to learn and grow
Smart people to work with
Aparajit Garg
@aparajitgarg
I am a software developer based out of India with a huge interest in frontend development
IndiaWhat I'm looking for
I have a total of 4 years of experience working in the industry.
Tech stack used: Javascript, React JS, Python, HTML, CSS, Tailwind CSS
Projects based on: Frontend development, Deep Learning (computer vision)
Having a thing about perfection, I bring complete dedication and a positive attitude toward software development. Proud to say that till now I have worked on 4 projects where I have worked with 3 clients directly and seeing my work and dedication, I have been offered a position from all the 3 clients.
Experience
Senior Software Engineer
Kritikal Solutions
Apr 2023 - Jul 2023 (3 months)
Analytics Dashboard: Worked on a dashboard created using React. The purpose of the dashboard was to fetch the data from API and represent the analytics using a chart.
1) Added the charts option and report generation functionality.
2) Added the functionality to download the charts and reports.
3) Reduced code redundancy by making components reusable.
4) Removed the unnecessary re-renders.
Associate - Computer Vision
Mirrorsize
Sep 2021 - Jun 2022 (9 months)
1) Improved the existing models on image segmentation by improving the dataset and quality of images
2) Fixed the loopholes in the existing recommendation pipeline
3) Developed a logic to detect how high is the phone kept from the ground level
4) Trained a deep learning model to classify images with long hair.
Software Engineer
Plugincoder
Jul 2020 - Aug 2021 (1 year 1 month)
Conference website: I was responsible to make UI changes in an already available website for online conferences like gmeet. I designed the chat component of the website as per the design provided and also integrated the logic for it (updating the component on new messages).
Software Engineer
Byjus
Aug 2019 - Jul 2020 (11 months)
Created a computer vision pipeline to gather, clean data, train models, and benchmark them. Generated the pipeline of detecting objects placed in front of the camera while reducing false positives as much as possible.
Tech stack
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