View Resume

RAHUL
BODDEDA

Engineering Intern @ Pepsico

About Rahul

B.Tech graduate in Computer Science and Engineering from National Institute of Technology (NIT) Andhra Pradesh (2026) with expertise in Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, and Data Engineering. Currently working as an Engineering Intern at PepsiCo in the Tech Strategy & Enterprise Solutions team, gaining hands-on experience with Salesforce Service Cloud and CRM Analytics, including customer service workflows, case management, dashboard development, KPI tracking, and data-driven business decision-making within an enterprise environment.

Experienced in developing and deploying AI-powered solutions using Python, PyTorch, Flask, SQL, and modern data technologies. Skilled in machine learning model development, data preprocessing, computer vision, deep learning, and model optimization techniques such as pruning, quantization, and knowledge distillation. Passionate about applying AI and analytics to build scalable solutions that solve real-world business challenges.

"Passionate about building scalable, intelligent systems that bridge AI and business value."

Key Stats

Education GPA: 8.25
Hackathon: 2nd Place
Core Stack: Salesforce Service Cloud, Apex, SOQL, LWC, Python, YOLOv8, ML, Node.js, Flask, SQL
University: NIT Andhra Pradesh

Career Path

Engineering Intern

Jan 2026 - Present

PepsiCo – Tech Strategy & Enterprise Solutions

  • Gaining experience with Salesforce Service Cloud including case management, workflows, automation, and customer experience operations.
  • Working with CRM Analytics to build dashboards, track KPIs, model data, and turn operations data into business insights.
  • Collaborating on enterprise analytics strategy and stakeholder requirements.

B.Tech in Computer Science

2022 - 2026

National Institute of Technology Andhra Pradesh

GPA: 8.25

Machine Learning Intern

May - July 2024

Pradical Works Pvt. Ltd.

  • Preprocessed and augmented 2000+ medical images for deep learning pipelines.
  • Improved detection F1-Score to 96.25% using YOLOv8 for segmentation.
  • Deployed models via Flask API, enabling real-time inference.

Secretary, Graphic Café Club

Aug 2025 - Jan 2026

National Institute of Technology, Andhra Pradesh

  • Coordinated meetings, managed communications, and event logistics.
  • Led documentation and design initiatives to boost campus engagement.
  • Increased club followers from 1200 to 1340 (growth of 140).

Saving the World One Bug at a Time (Future plans)

Featured Projects

Computer Vision Model Optimisation

Final Year Project | Aug 2025 - Present

Optimized DenseNet-BC-100 using Pruning, Quantization, and Knowledge Distillation to minimize model size while preserving accuracy.

  • Pruning reduced model size with only a -1.28% drop.
  • Quantization achieved a minimal accuracy drop of 0.30%.

Tech Stack: PyTorch, DenseNet-BC-100, ResNet50.

GitHub Link

E-Voting Web Application

Jan - May 2025

Secure and dynamic student election system with role-based authentication and robust SQL-backed data flow for transparency and reliability.

  • Ensured secure authentication and controlled one-vote-per-category enforcement.
  • Implemented robust SQL-backed data flow for admin insights.

Tech Stack: Node.js, Express.js, SQL, EJS.

GitHub Link →

Smart Attendance System

Jan - Apr 2024

Automated attendance system using facial recognition, integrating Node.js with a Python-based face recognition module.

  • Used Python/OpenCV for accurate, real-time identity verification.
  • Designed end-to-end workflow for capturing, validating, and storing data in an SQL database.

Tech Stack: Node.js, Express.js, Python, OpenCV, SQL.

GitHub Link →

Awards & Certifications

Awards

  • Runner-up College Hackathon CSEA NIT ANP 2025
  • Best Team Member Vulcanzy 2K24 Design & Media Team Jan 2024

Certifications

  • Accenture UK Developer & Tech Virtual Experience Dec 2024
  • HP Life AI for Beginners Dec 2024
  • Cloud Computing - NPTEL Nov 2024

Get In Touch

I'm always open to new opportunities, collaborations, or just chatting about AI and technology. Drop me a line!

rahulboddeda@gmail.com +91-6303793820