Seshadri Naidu Vangapandu

Computer Science Graduate | Aspiring Devops & SRE

Passionate about building scalable systems, automating operations, and delivering impactful solutions.

About Me

I'm a graduate from GITAM University with a strong foundation in computer science and a keen interest in Site Reliability Engineering (SRE) and DevOps. I thrive on solving complex problems and am deeply passionate about building robust, scalable, and efficient systems that deliver real-world impact.

Skills

Languages

Python Java

AI & ML

Machine Learning Deep Learning LLMs Scikit-learn Google Gemini

Databases

MySQL

DevOps & Tools

Docker Jenkins Bash Prometheus Grafana

Frameworks

Django

Version Control

Git & GitHub

OS & Scripting

Linux Shell Scripting Windows

IDEs

VS Code PyCharm

CRM

Salesforce

Web

HTML CSS JavaScript

Experience

mthree (March 2025 - September 2025)

AI/ML Trainee

July 2025 – August 2025

  • Gained extensive hands-on experience in Machine Learning and Deep Learning technologies.
  • Worked with various ML frameworks and tools to develop and deploy AI solutions.

Technologies: Machine Learning, Deep Learning

SRE/DevOps Intern

March 2025 – May 2025

  • Completed 40+ hours of hands-on training in SRE and DevOps best practices.
  • Automated common operational tasks to improve system reliability and reduce manual effort.
  • Set up Prometheus & Grafana for real-time monitoring; identified performance anomalies in test scenarios.

Technologies: Jenkins, Docker, Bash, Prometheus, Grafana

Projects

Data Agnostic Analyst

September 2025

Developed AI-powered data analysis platform leveraging Google Gemini 2.0 Flash with automated data cleaning, validation pipelines, and confidence scoring.

  • System autonomously generates comprehensive insights from structured datasets while detecting hallucinations through statistical cross-validation.

Technologies: Google Gemini 2.0 Flash, Python

View on GitHub

California Housing Regression – MLOps Project

August 2025

Predict median house values using the California Housing dataset while demonstrating enterprise-grade MLOps practices.

  • Implemented a full MLOps workflow for data preprocessing, model training, validation, and deployment.

Technologies: Python, MLOps, Scikit-learn

View on GitHub

AutoScale-ML – Scalable ML Inference Platform

April 2025 – May 2025

Developed a platform for scalable machine learning inference with real-time monitoring and auto-scaling capabilities.

  • Containerized the Django + MySQL app for easy deployment and scalability.
  • Created a real-time metrics dashboard using Chart.js for performance monitoring.

Technologies: Django, MySQL, Docker

View on GitHub

ATS Resume Tracker Using Gemini AI

July 2024 – August 2024

Built a web application to help job seekers optimize their resumes for ATS using Gemini AI.

  • Used by 10+ users to improve their job application success.

Technologies: Gemini AI, Python

View on GitHub

Fraud Insurance Detection and Analysis

February 2024 – April 2024

Analyzed and compared multiple machine learning models for insurance fraud detection.

  • Achieved 92% accuracy with Random Forest classifier.

Technologies: Python, Scikit-learn, XGBoost, Pandas

View on GitHub

Education

Bachelor of Technology in Computer Science and Engineering

GITAM University, Visakhapatnam | Sep 2020 – May 2024

CGPA: 8.76

Board of Intermediate Education

Sri Chaitanya Junior College | June 2018 – May 2020

CGPA: 9.57

Certifications & Trainings

  • TCS ION Career Edge – Young Professional – TCS
  • IBM Professional Applied DevOps Engineering - IBM Coursera
  • Explored Python Classes and Inheritance - University of Michigan Coursera
  • Attained skills in Python for Data Science, AI & Development - IBM – Coursera
  • Achieved foundational knowledge in Networking Basics – Cisco Networking Academy
  • Solved complex problems through Java Programming - Duke University – Coursera
  • Gathered requirements for Secure Software Development - University of Colorado – Coursera.
  • GenAI for DevOps Practitioners-IBM Coursera

Get In Touch

Feel free to reach out for collaboration, job opportunities, or just to say hi!