Kritika Tripathi
Email: kritika.tripathi03@gmail.com
LinkedIn: linkedin.com/in/kritika-tripathi-b5052a186/ Mobile: +91-7011435021
Github: github.com/kritikatripathi03
Skills Summary &bull;
Languages : Python, C++, C, JavaScript, HTML, CSS, MySQL, JAVA
&bull; Frameworks : React, Angular, Bootstrap, Flask, Django
&bull; Tools : VS Code, PyCharm, Anaconda; Docker, GIT, Bash, Google Colab, Google Cloud
&bull; Platforms : Web, Windows, Cloud, Linux
&bull; Soft Skills : Leadership, Teamwork, Event Management, Writing, Public Speaking, Time Management
Education &bull;
Sharda University
Uttar Pradesh, India
Bachelor of Technology - Computer Science; CGPA: 9.285 October 2021 - June 2025
Specialisation: Artificial Intel ligence, Machine Learning
&bull; Delhi Public School, Maruti Kunj
Haryana, India
Class 12th 92.2 %; Class 10th 95.8 % March 2018 - March 2021
Experience &bull;
SDE Intern @Amazon-Team CMT Systems
Bengaluru, Karnataka
Internship May&rsquo;24 - July&rsquo;24
◦ Worked on a Marketplace Onboarding into the CMT Systems by adding config changes.
◦ Worked on the core problem faced by CMT Systems where the price is not assigned to products.
◦ Learned to work on, test, and perform production-level deployment on pipelines. Learned to create version sets
and do config changes.
&bull; Data Analyst Intern @NoQs Digital
Remote
Internship Mar&rsquo;23 - July&rsquo;23
◦ Used data to create models that depict trends in the customer base and the consumer population as a whole.
◦ Developed and maintained databases, and data systems &ndash; reorganized data in a readable format.
&bull; Google Developer Student Clubs(GDSC) Tech Lead
Remote
Core Team Member Jan&rsquo;22 - Jun&rsquo;22
◦ Conducted online and offline technical &amp; soft-skills training, and coding contest for students, especially freshers.
◦ Helped freshers get familiar with the club and solved their queries.
Projects &bull;
Dynamic Ob ject Detection (C++ - CMake, OpenCV) :
Create a tool that detects dynamic ob jects on the road. Employed capabilities of OpenCV module in C++ to detect ob jects.
Learned and attempted to enhance memory management in the pro ject using capabilities of C++ language. (February&rsquo;24)
&bull; Responsive Portfolio Website(React, CSS, Bootstrap) :
Worked on a website that showcases personal portfolio. It contains the About, Skills, and Pro jects sections, and a contact
form. Worked with Bootstrap to make the website responsive. (Mar &rsquo;23)
&bull; Handwritten Digit Recognition Using 5 Different Algorithms (Python - Machine Learning) :
Learned how to recognize handwritten digits using 5 different algorithms. Used MNIST and SKLearn load digits datasets. CNN
achieved the highest accuracy of 99.56 percent and 97.15 percent on training data and testing data respectively. (April &rsquo;23)
&bull; YouTube Transcript Summariser (Python, HTML, CSS, Javascript) :
An extension that would take up the transcript of any video available on YouTube whose transcript is present and summarise
its transcript for the user. I used. I learned to use the Flask framework and used T5tokeniser for summarising the transcript.
(December &rsquo;23)
Achievements &bull;
Bosch Global Software Technologies AutoVisionX Hackathon 2024 Winner :
Bagged the First Prize in the AutovisionX Hackathon held from December 2024 to March 2024. Create a Dynamic Ob ject
Detection tool with efficient memory management unit.
&bull; IEEE 3rd International Conference on TESMET 2023 :
Presented the paper titled - &rdquo;Enhancing the Security of Online Voting System Using Defined Biometrics&rdquo;, which discusses
improving the voting system and shifting to online voting. The paper has been accepted and published in IEEE Xplore.
&bull; International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) 2023 :
Presented the paper titled - &rdquo;A Comparative Analysis of Various Machine Learning Algorithms for Handwritten Digit
Recognition&rdquo;, which compares 5 popular algorithms for handwritten digit recognition. The paper has been accepted and
published in IEEE Xplore.
&bull; Women Engineers Program Scholar :
Selected for a two-year experiential program among 250 women engineering students from nearly 30,000 applicants all-over
India. TalentSprint conducts it in collaboration with Google.