React Docker Kubernetes Nginx Node.js MySQL MongoDB Git Python Linux Bash

DHEERAJ THOTA

Technical Competencies

Frontend Development

  • React.js
  • TypeScript, JavaScript
  • HTML5, CSS3, Responsive Design

DevOps

  • Docker, Kubernetes, Ansible
  • CI/CD (Jenkins, GitHub Actions)
  • Nginx, Automation

Backend Development

  • Node.js, Express.js
  • RESTful APIs, Scalable Architectures
  • Clean Code, TDD

Cloud & Deployment

  • AWS, GCP, DigitalOcean
  • High Availability, Scalability
  • Security Best Practices

Databases

  • MySQL, MariaDB, Redis, MongoDB
  • Database Optimization

Scripting

  • Bash, Shell, Python

Version Control

  • Git, GitHub, GitLab
  • Branching Strategies

Operating Systems

  • Linux (Ubuntu, CentOS)
  • System Administration

Experience

Full-Stack Developer & DevOps Engineer

Uzvi Services - Aug 2024-Present

  • Served as the solo full-stack developer and DevOps engineer for multiple high-impact projects.
  • Led the migration of an e-commerce platform backend from PHP to Node.js with Express.js, resulting in 40% improved performance.
  • Designed and deployed a secure web application for the Ministry of Energy, Andhra Pradesh (MOEAP).
  • Orchestrated the full DevOps lifecycle using Docker, Kubernetes, Ansible, and CI/CD pipelines with GitHub Actions and Jenkins.
  • Provisioned and optimized cloud infrastructure on AWS, GCP, and DigitalOcean, achieving 99.9% uptime.

Machine Learning & Full-Stack Engineer (Intern)

SpyPro Security Solutions - Oct 2023 - May 2024

  • Developed scalable machine learning models and full-stack applications, improving prediction accuracy by 20%.
  • Independently architected and deployed a Retrieval-Augmented Generation (RAG) chatbot.
  • Optimized data pipelines, reducing processing time by 30%.
  • Collaborated cross-functionally to integrate ML solutions into full-stack systems.
  • Documented codebases, APIs, and infrastructure with emphasis on readability and maintainability.

Projects

E-commerce Platform Migration

Uzvi Services

Solo Developer: Migrated the backend of an e-commerce platform from PHP to Node.js/Express.js and built a new React.js frontend. Implemented robust DevOps practices using Docker, Kubernetes, and CI/CD pipelines. All development and deployment was handled independently.

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MOEAP Employee Management System

Uzvi Services

Solo Developer: Designed and built a full-stack production application for the Ministry of Energy, Andhra Pradesh, using Node.js, React.js, and MySQL. Managed the project end-to-end as the only developer.

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RAG Chatbot

SpyPro Security Solutions

Solo Developer: Independently architected and deployed a Retrieval-Augmented Generation (RAG) chatbot using LLMs, APIs, scikit-learn, and NLP techniques. Deployed on AWS with CI/CD and Kubernetes.

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SAP POC Application

Uzvi Services

Solo Developer: Developed a proof-of-concept application to demonstrate seamless integration with SAP systems, focusing on data synchronization and a user-friendly frontend. This project highlights enterprise-level development skills and was completed independently.

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Certifications

Docker Logo

Crash Course: Docker For Absolute Beginners

KodeKloud

Issued Jul 2025

Credential ID: 3d3aa8f2-568a-48d7-a217-396658ee5293

Docker Certificate
Bash Logo

Shell Scripts for Beginners

KodeKloud

Issued Jul 2025

Credential ID: 1db60ab3-ce8a-4aff-8b31-becdf8c24039

Shell Scripts Certificate

Publications

A Comprehensive Review of Deepfake Detection Pertaining to Images, Videos, Audio, and News using Deep Learning Techniques

Engineering and Technology Journal, Apr 2025

  • Co-authored a review paper analyzing state-of-the-art deep learning techniques for deepfake detection across images, videos, audio, and news.
  • Published in Engineering and Technology Journal, Volume 10, Issue 04, Pages 4535–4543, DOI: 10.47191/etj/v10i04.20, Impact Factor: 8.482.
  • Discussed the application of CNNs, LSTMs, RNNs, BERT, Vision Transformers (ViTs), and Explainable AI (XAI) in detecting manipulated content.
  • Highlighted emerging research challenges and future directions for robust and interpretable deepfake detection.

A Conversational Chat Interface with Specific Trained Data

IJRAR Journal, Jun 2024

  • Authored a paper on building a Retrieval-Augmented Generation (RAG) chatbot, detailing the design, implementation, and evaluation of the chatbot.
  • Highlighted innovative techniques used to enhance customer interaction and engagement.
  • Demonstrated significant improvements in chatbot performance and user satisfaction through detailed case studies and experimental results.

About Me

I am a results-driven Full-Stack Developer and DevOps Engineer with 2 years of hands-on experience in designing, developing, deploying, and maintaining scalable, maintainable, and readable code for production-grade applications.

I am passionate about optimizing workflows, automating deployments, and delivering secure, efficient systems that bridge development and operations seamlessly. My expertise spans across React.js, Node.js, Express.js, and databases like MySQL, MongoDB, as well as DevOps practices including Docker, Kubernetes, and CI/CD pipelines.

Get in Touch

I'm currently open to new opportunities. Feel free to reach out!

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