Govardhan Reddy Baddala

About Me

I'm a Data Science graduate student at California State University, Chico graduating May 2026 with 2.5+ years of experience across machine learning, cloud optimization and full stack work. Whether it's building software that scales or automating analysis I like solving hands on problems and getting products into people's hands.

Recently I've shipped AI assistants, interactive dashboards, cloud cost monitoring tools and e learning platforms projects that blend Python, AWS, TensorFlow, NLP and modern web frameworks. I enjoy developing and deploying ML models for computer vision and NLP, designing cloud based dashboards with AWS, Python and Grafana and building web platforms that improve accessibility and collaboration.

Looking for an opportunity to work as a software engineer, data scientist or ML engineer where I can combine reliable code with practical machine learning, help teams ship faster and continue growing through meaningful projects and professional development.

Skills

Certifications

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AWS Certified Solutions Architect - Associate

CISCO Python

IBM Building AI Agents and Agentic Workflows

Languages

Python

C/C++

Java

JavaScript

TypeScript

HTML, CSS

R

C#

Node.js

React.js

Databases

MySQL

MongoDB

NoSQL

PouchDB

CouchDB

Tools & Technologies

NumPy, Pandas, Scikit-Learn, OpenCV

TensorFlow, Keras, Machine Learning, NLP

Matplotlib, Power BI, Tableau

CUDA

Frameworks and Cloud Technologies

Django, Flask, REST API

Amazon Web Services (AWS)

Google Cloud Platform (GCP)

Docker

Kubernetes

Other

Git

Heroku

Streamlit

Jira

CI/CD

Experience

Software Developer Intern @ California State University

Built an offline-first web application for collecting and syncing field data.

Built an offline-first web application using React and Pouch DB
Integrated CouchDB synchronization and containerized with Docker/NGINX

Tools: React, PouchDB, CouchDB, Docker, NGINX

Aug 2025 - Present | USA

AI Engineer Intern @ NCompas Technology

Designed and deployed modular multi-agent AI systems using LLMs to automate complex SaaS workflows.

Designed and deployed modular multi-agent AI systems using LLMs (LangChain, CrewAI, AutoGen) to automate complex SaaS workflows
Built intelligent agent orchestration and knowledge-based routing integrated with Azure cloud-native infrastructure for scalable deployments
Collaborated with product and DevOps teams to deliver CI/CD-ready AI agents, ensuring reliability, testing, and production documentation

Tools: LangChain, CrewAI, AutoGen, Azure, LLMs, CI/CD

Jun 2025 - Aug 2026 | USA

Software Developer Intern @ Christ University

Designed and developed website structures, improving user engagement and collaboration.

Designed website structure, improving user engagement by 35%
Collaborated on iterative optimizations, reducing feedback time by 50%
Built a centralized hub for startups

Tools: Web Development Technologies

May 2023 - May 2024 | India

Machine Learning Intern @ Verzeo

Developed and optimized CNN models for image recognition with high accuracy.

Collected and preprocessed 10,000+ images, improving training efficiency by 30%
Implemented a CNN model (TensorFlow/Keras) with 92% accuracy
Optimized model performance, increasing recognition rates by 15%

Tools: Python, TensorFlow, Keras, Image Processing

Apr 2022 - May 2023 | India

Artificial Intelligence Intern @ 1Stop.ai

Engineered ML/neural network models for news article classification.

Engineered ML/neural network models for news article classification (94% accuracy)
Streamlined data preprocessing, reducing training time by 40%
Optimized model performance, improving classification accuracy by 12%

Tools: Python, Machine Learning, Neural Networks, NLP

Feb 2022 - Apr 2022 | India

Projects

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Personal Assistant for Windows (AERO - Automated Executed and Response Orchestrated)

A voice-controlled AI assistant with computer vision and object detection capabilities, integrated with AI-powered content generation.

Python AI Computer Vision NLP

Code

1Click - Sycamore and RAG Pipelines

A web-based e-learning platform using Sycamore API and RAG pipelines with modular features including summary extractor, data dashboard, chatbot, and video/quiz integration.

Node.js React AWS Terraform RAG