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Garima Purohit

@garimapurohit

Computer engineering student skilled in full-stack development, Python automation, and LLM-powered tooling.

India
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What I'm looking for

I seek roles building full-stack or automation solutions where I can apply Python, MERN, and LLMs to reduce manual work, learn from mentors, and grow technically.

I am a computer engineering student with strong academic performance and hands-on experience building full-stack web apps and automation tools. I focus on practical solutions that reduce manual work and improve reporting consistency.

My notable projects include a Python-based Excel-to-PPT auto-populator that leveraged LLM APIs and prompt engineering to reduce manual slide updates by 80%, and a MERN-stack campus marketplace (PICT OLX) featuring search, filters, and product listings.

I have internship experience at Dentsu Global Services where I automated PPT population from Excel, integrated LLMs, and assisted in debugging and optimization; I also take leadership roles in campus tech events and clubs.

Experience

Work history, roles, and key accomplishments

DS

Software Engineering Intern

Dentsu Global Services

Jun 2023 - Jul 2023 (1 month)

Developed an automated Excel-to-PowerPoint pipeline integrating LLM APIs and prompt engineering to populate slide templates, reducing manual slide updates by 80% and improving reporting consistency.

Education

Degrees, certifications, and relevant coursework

SP

SCTR’S Pune Institute Of Computer Technology (PICT)

Bachelor of Engineering, Computer Engineering

2023 -

Grade: 9.48 CGPA

Activities and societies: Volunteer at college events; Head Organizer for Pulzion; member of technical club

Pursuing BE in Computer Engineering with strong academic performance (CGPA: 9.48).

GN

Government Polytechnic, Nagpur

Diploma, Computer Engineering

2020 - 2023

Grade: 95.50%

Completed Diploma in Computer Engineering with high academic distinction (95.50%).

MN

Mount Carmel High School, Nagpur

SSC (Class X), Secondary Education

2019 - 2020

Grade: 92.00%

Completed SSC (Class X) with notable academic performance (92.00%).

Tech stack

Software and tools used professionally

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