Resume of Akshath Mangudi • Peerlist

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Akshath Mangudi

17 followers

just building.

17 followers

Joined 13 Aug 2025

akshath.tech

Experience

1 year, < 1 month

Infer

HIRING

FDE Intern

Jan 2026 - Present (5 m)

Puch AI

AI Engineer Intern

Sep 2025 - Oct 2025 (1 m)

Tectoro Consulting Pvt. Ltd.

Machine Learning Intern

May 2025 - Jun 2025 (1 m) • hyderabad, telangana, india

Chalbo India Private Limited

Machine Learning Intern

Oct 2024 - Jan 2025 (3 m) • amaravati, andhra pradesh, india

Swimlane

Software Engineer Intern

May 2024 - Jul 2024 (2 m) • hyderabad, telangana, india

Education

VIT-AP University

Bachelor of Technology - BTech, Computer Science

2022 - 2026

Redmond High School

High School Diploma,

2018 - 2020

FIITJEE

High School Diploma,

2010 - 2022

Certification

Applications of AI for Predictive Maintenance

NVIDIA ↗

Jun 2024 - No Expiry

Introduction to Machine Learning

NPTEL

May 2024 - No Expiry

Fundamentals of Accelerated Computing on CUDA C/C++

NVIDIA ↗

Apr 2024 - No Expiry

Fundamentals of Deep Learning

NVIDIA ↗

Mar 2024 - No Expiry

Advanced Learning Algorithms

Coursera ↗

Mar 2023 - No Expiry

Volunteering

Hi-tech Team Member

Microsoft Student Chapter VIT-AP

Mar 2024 - Jul 2024

– Offer assistance to the tech team during events organized by MSC. – Student coordinator for the "AI-Enabled Treasure Hunt" event hosted by MSC.

Technical Lead

Women in Open Source, VIT-AP

Mar 2024 - Sep 2024

I managed a small group of enthusiastic team members willing to make a difference and contribute to the growing open-source culture of VIT-AP.

President

GPUG

Mar 2024 - May 2025

I oversee all operations that occur within the club, in all aspects. Responsibilities: 1. The current lead coordinator for all NVIDIA DLI workshops held at VIT-AP University. 2. The current content administrator for the GPUG LinkedIn page.

Technical Team Member

LIT DAC VIT Amaravati

Nov 2023 - May 2024

Got my initial experience with working on a team of enthusiastic individuals specializing in Machine Learning and Data Analytics.