Sai Paladugu

I'm

About

I am a driven and focused developer with a deep passion for software development, artificial intelligence, and solving real-world problems using innovative technology. My expertise in areas like machine learning and full-stack development has been honed through various impactful projects and internships. Alongside my technical interests, I am an avid mountaineer, volleyball enthusiast, and badminton player, constantly seeking challenges both in the tech world and outdoors. I thrive in environments that push my limits, whether in crafting algorithms or climbing mountains, and I am always eager to apply my skills to tackle complex industry problems.

Birthday: 2 April 2003
Phone: +1 819-329-3980

City: Ottawa, ON
Email: saichandan03@gmail.com

Education Summary

Carleton University

Honours BCS in Computer Science, Math Minor

Expected Graduation: December 2025

GPA: 3.95

Relevant Courses

Artificial Intelligence
Machine Learning
Reinforcement Learning
Database Management
Data Structures & Algorithms
Computer Vision
Operating Systems

Interests

Software Development

Machine Learning

Computer Vision

Natural Language Processing

Software Engineering

Visualization

Algorithms

Image Processing

Education

Honours BCS. in Computer Science, Math Minor

December 2025

GPA: 3.95

Relevant Coursework

Artificial Intelligence
Machine Learning
Data Structures & Algorithms

IB Program, Colonel By Secondary School

September 2017 - May 2021

IB Score: 40

Relevant Coursework

English HL
Mathematics SL
Computer Science SL

Experience

Nokia

May 2024 - Current

Machine Learning Intern

Developed and deployed ML models using Python and TensorFlow to analyze network performance; built data preprocessing pipelines and optimized neural network architectures, increasing efficiency by 20%.
Designed and implemented end-to-end pipelines for LLM model evaluation and deployment, leveraging Apache Airflow for streamlined orchestration and scalability.
Developed a Kubernetes-managed web scraping framework, packaged with Docker, to automatically source and validate cutting-edge LLM models from HuggingFace for integration into Nokia’s AI ecosystem.

Cisco

September 2023 - December 2023

Machine Learning Intern

Developed a predictive ML model leveraging SVMs and k-fold cross-validation to classify support ticket urgency, ensuring robust performance at 85% accuracy and cutting resolution times by 30%.
Created an API using LLMs for processing natural language queries in Elasticsearch; adapted by 12+ Cisco teams.
Enhanced Python pipelines for automated data preparation and feature extraction, streamlining machine learning model development and conserving developer resources.

Cisco

May 2023 - August 2023

Full-stack Development Intern

Led the development of an internal Docusaurus-based knowledge hub, integrating NLP-driven recommendations for personalized content discovery and enhanced user engagement.
Engineered a backend API incorporating automated machine learning pipelines to classify, rank, and streamline content releases, reducing manual intervention and boosting operational efficiency.

Carleton University

January 2023 - April 2023

Linear Algebra Teaching Assistant

Delivered lectures and tutorials to reinforce key mathematical concepts, enhancing students’ understanding of abstract data transformations relevant to data science and machine learning.

Actua

September 2022 - December 2022

STEM Outreach Instructor

Traveled across the city teaching underprivileged kids about CAD software, block coding, and other topics.
Conducted a weekly Arduino programming seminar for high school students interested in engineering, providing hands-on experience with micro-controller programming, project-based learning, and collaborative problem-solving.