To associate myself in a growing and challenging Tech organization that has vast
opportunity to
learn, that allows me to leverage my technical knowledge, collaborate with a talented team,
and
further develop my skills.
Education
-B.Tech in Computer Science and Engineering, Vellore Institute of Technology, Chennai
Internship in C4Scale (23rd November 2024 - April 2024)
Applied AI Engineer Intern • Built a text-to-image product.
Using GAN, YOLO, CNN, Stable Diffusion and fine tuning it • Working in a team of 5 interns, we built a product from scratch. Made, collected,
analyzed, filtered out the data and labelled the data, made CNN and GAN from scratch and had
YOLO and Stable Diffusion as helping models. Worked and tinkered with TPUs.
Kept the code as clean and readable as possible. Documentation of the dataset, procedures, applications
and code/programs.
• Learned about object detection, Intel OpenVino and Awiros platform, Yolo
model. • Did a project on detecting weeds in a farm field. In a team of 4, we built a
model
that detects weeds in a farm field. Although couldnot get be selected, ,earned a lot about computer
vision
especially object detection and Classification.
Internship(trainee) in Capabl (June 2023 - July 2023)
Data Science trainee • Learned about Data Science lifecycle, types of machine learning, linear
modelling. • Did a project on predicting taxi trip duration. Built a model that predicts the
total ride duration of taxi trips (in New York City)
Kavach Hackathon (2023)
• Participated in Kavach and Vnest hackathon(team of 6). Built a
product for
fake news detection.
• A website was built with four features: fake news detection using text,
using
text from photos, news feed from trusted sources, extension for browser.
ML/DL Contest on Image Classification (22nd February 2023)
• Image Classifier Based on CNN model to classify images from four
distinct datasets related to various eye conditions, enabling accurate
and efficient dignosis.
Projects
• Designed few websites using React js and using html, css & javascript.
• Participated in Arduino Circuits Program. Made piano, small Arduino projects
(proximity sensor alarm, led display animation)
• Gave an hour-long Student Seminar Session on 'How companies secure their
data' • Mentored my younger brother for 'Coding Bee' competition. We reached
till
finals. Developed 'Green Solider' Arcade game. Coding done with python and
pygame library
Extra curriculars
• Participates in college events: Hacker Horizon (speaker Ankit Singh, one of
the top hackers in the country), electronics ardinuo event.
• Contributed to club (PlaceXP club, Linux club, HumanoidX club)
events.
Hobbies
• Reading on Engineering & Technological developments, Playing Guitar, Doing
Yoga & Weight Training.
• Languages : English, Hindi, Marathi, Learning new a
Language : French
More About Me
I'm Kushagra Borse, a dedicated tech enthusiast with a strong inclination
towards building products to uplift the lives of people. Armed with skills in Java, Python, HTML,
CSS, and more, I'm pursuing a B.Tech in Computer Science at VIT, Chennai, maintaining
an impressive 9.14 CGPA.
As a data science trainee at Capabl, I crafted a predictive model for taxi trip duration.
As an Applied AI Engineer Intern at C4Scale, we crafted a product for Text-to-Image generation,
using technologies such as YOLO, CNN, GAN, Stable Diffusion and more.
I'm a proactive participant in hackathons, co-creating a solution
for fake news detection (in Smart India Hackathon). Worked with React, I design engaging websites.
I enjoy building Arduino-based projects. Beyond coding, I share knowledge through seminars and
mentorship.
When not coding, I unwind with guitar, yoga, and weight training.
Let's connect
and innovate on LinkedIn.
