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Vaishnav Devaraj

Crafting intelligent solutions, one line of code at a time.

Cloud & Data Science Engineer | Google Cloud & Oracle OCI Certified

Hyderabad, India
vaishnavdevaraj93@gmail.com
+91 89 770 10370

About

Hello! I'm Vaishnav Devaraj, a Google Cloud Certified Engineer with a Bachelor of Technology in IT.

I specialize in the intersection of AI development and cloud-native deployment. My passion lies in architecting and building end-to-end intelligent solutions, from developing full-stack AI agents with Python and LLMs to containerizing them with Docker and deploying them on scalable, serverless platforms like GCP Cloud Run.

My projects, including a serverless data analysis tool and an AI-powered roadmap generator, showcase my ability to transform complex ideas into functional, real-world applications. Beyond my technical skills, my experience as Secretary for an IEEE chapter has honed my leadership and project management abilities.

This portfolio is a collection of my work. I invite you to explore my projects, and I am eager to connect with you. Please feel free to reach out via Email or LinkedIn to discuss technology, collaborations, or potential opportunities.

Let’s connect and explore how we can collaborate to create innovative solutions!

Stack

Python Java JavaScript HTML5 CSS3 Google Cloud Oracle Cloud Firebase Docker Kubernetes GKE Infrastructure as Code Git Flask FastAPI Data Science TensorFlow scikit-learn Deep Learning Neural Networks Data Analysis Predictive Modeling Large Language Models LangChain RAG Vector Databases SQL Cloud Security

Experience (3)

Habitat Academy

Current Employer

AI Intern

Employment Type Internship
Employment Period 01.2023—Present

Working on cutting-edge AI solutions to transform business operations by developing intelligent systems that reduce manual effort and increase productivity.

  • Architecting an end-to-end AI agent to automate key business processes and enhance operational efficiency.
  • Integrating an open-source LLM for the agent's core reasoning and deploying the supporting infrastructure in Python.
Python LLMs AI Agents Process Automation

Freelance

Cloud & AI Engineer

Employment Type Freelance
Employment Period 09.2022—Present
  • Designed and implemented cloud-native solutions for 5+ clients using Google Cloud Platform
  • Built serverless applications with Cloud Functions and Cloud Run for cost optimization
GCP Python Cloud Architecture

Education

Bachelor of Technology in Information Technology

Study Period 08.2020—05.2024

Anurag University, Hyderabad

Key Coursework: Cloud Computing, Machine Learning, Data Structures & Algorithms, Database Systems

Activities: Secretary of IEEE SSIT Student Branch, Captain of University Football Team

Certifications (3)

Google Cloud Associate Cloud Engineer

Issued: June 10, 2025 Expires: June 10, 2028
Credential View Certificate

Associate Cloud Engineers deploy applications, monitor operations, and manage enterprise solutions on Google Cloud using the Console and gcloud CLI. Operate core services including Compute Engine, GKE, Cloud Storage, and Pub/Sub while configuring IAM, networking, and implementing Infrastructure as Code.

Cloud Architecture Cloud Computing Cloud Security Cloud Storage Compute Engine GKE Google Cloud Platform Identity and Access Management Infrastructure as Code Networking Pub/Sub SQL

Oracle OCI Certified Generative AI Professional

Issued: Sept 17, 2025 Expires: Sept 17, 2027
Credential View Certificate

This credential demonstrates strong understanding of Large Language Models and proficiency with OCI Generative AI Service. Includes skills in Retrieval-Augmented Generation, semantic search, vector databases, and LangChain to build, trace, evaluate, and deploy production LLM applications.

Large Language Models OCI Generative AI Retrieval-Augmented Generation Semantic Search Vector Databases LangChain

Oracle OCI Certified Data Science Professional

Issued: Sept 24, 2025
Credential View Certificate

This certification validates expertise in data science on Oracle Cloud Infrastructure, demonstrating proficiency in machine learning, data analysis, and cloud-based data science workflows. It covers advanced topics including model development, deployment, and management using Oracle's comprehensive data science platform and services.

Applied Machine Learning Cloud Computing Data Science Machine Learning Data Analysis Python Programming Statistical Analysis Data Visualization Deep Learning Neural Networks Big Data Data Mining Predictive Modeling Oracle Cloud Infrastructure Data Science Lifecycle Model Deployment

Projects (5)

Intelligent Automation for Data Analysis

Live Demo GitHub Repo

A serverless data analysis tool deployed on GCP Cloud Run.

  • Built with Plotly Dash for interactive visualizations
  • Containerized with Docker for consistent deployment
  • Deployed on Google Cloud Run for scalable serverless operations
GCP Docker Dash Serverless Python

Roadmap Generator AI

Live Demo GitHub Repo

A full-stack AI application that generates personalized learning roadmaps.

  • Developed with Flask backend and modern frontend
  • Integrated Groq's LLM API for generating roadmaps
  • Implemented user authentication and roadmap saving
Flask Groq AI Full-Stack Python JavaScript

Premier League Player Analytics Dashboard

Live Demo GitHub Repo

End-to-end data analytics solution for Premier League statistics.

  • Created interactive visualizations revealing key performance metrics and team comparisons
  • Implemented comprehensive team performance analysis with statistical measures
  • Built a team comparison tool that provides detailed head-to-head analysis
  • Developed player ranking system based on multiple performance indicators
Python Pandas Streamlit Plotly Data Analysis

Twitter Sentiment Analysis

GitHub Repo

Real-time sentiment analysis model for Twitter data.

  • Implemented NLP techniques for text preprocessing and tokenization
  • Trained machine learning models for sentiment classification with high accuracy
  • Applied feature extraction to identify key sentiment indicators
  • Analyzed trends and patterns in social media sentiment across different topics
  • Developed scalable processing pipeline for large datasets
NLTK Scikit-learn Data Science Python Pandas

Speech Recognition ML Project

GitHub Repo

ML-based speech recognition system with advanced signal processing.

  • Implemented audio feature extraction with MFCC technique
  • Built a neural network model for speech recognition
  • Trained on a dataset of voice commands with high accuracy
ML Speech Processing Python TensorFlow

Get in Touch

Feel free to reach out if you're looking for a developer, have a question, or just want to connect.

Send a Message

Connect With Me

github.com/VaishnavDevaraj
linkedin.com/in/vaishnav-devaraj
vaishnavdevaraj93@gmail.com