I am a passionate Software Engineer, Full-Stack Developer, and Cloud Technologies Specialist, currently pursuing my M.S. in Software Engineering at San Jose State University. With a strong foundation in Data Structures, Algorithms, and System Design, I focus on building robust and scalable solutions across various domains, including Full-Stack Web Development, RESTful APIs, CI/CD Pipelines, and Databases, along with Artificial Intelligence & Machine Learning.

• ⚙️ Full-Stack Development: Building scalable and efficient web applications using React.js, Material UI, Node.js, and Express.js.
• 🔗 RESTful API & Backend Engineering: Designing and optimizing high-performance APIs, microservices, and backend logic using Node.js, FastAPI, and Flask.
• 🏗️ DevOps & CI/CD: Automating deployments with Docker, Kubernetes, Terraform, and Jenkins to ensure reliability.
• 🛢 Databases & Data Engineering: Working with PostgreSQL, MongoDB, and Redis for structured and unstructured data processing.
• 🌟 Passion for AI & ML: Exploring Deep Learning, LLMs, and NLP to build intelligent applications.
• ☁️ Cloud & Scalability: Leveraging AWS, GCP, and Azure to develop cloud-based solutions and serverless applications.
• 💡 Continuous Learning: Staying updated on cutting-edge technologies like Quantum Computing, Advanced NLP, and Cloud Automation.

• Frontend Development: React.js, Next.js, Material UI, Tailwind CSS
• Backend Development: Node.js, Express.js, FastAPI, Flask
• RESTful & API Development: GraphQL, REST, gRPC, WebSockets
• Machine Learning & AI: TensorFlow, PyTorch, Scikit-Learn, OpenAI APIs
• Databases: PostgreSQL, MongoDB, Redis, MySQL
• DevOps & CI/CD: Docker, Kubernetes, Terraform, Jenkins, GitHub Actions
• Cloud Technologies: AWS (EC2, S3, Lambda), GCP, Azure
• Version Control & Collaboration: Git, GitHub, GitLab, Firebase

• Retrieval-Augmented Generation Model
  LLM (OpenAI, Gemini), Python
  Built a RAG model combining Large Language Models with external data sources for accurate retrieval. Enhanced modularity using MLIR, improving deployment efficiency by 45%.

• TaskRabbit Clone Infrastructure
  Terraform, AWS, Microservices, Ansible
  Designed scalable infrastructure using Terraform, automated CI/CD pipelines, and implemented secure microservices for authentication and task management.

• Full-Stack E-Commerce Platform
  React.js, Node.js, MongoDB, Express.js
  Developed a fully functional e-commerce website with authentication, payment gateway integration, and real-time order tracking.

• AI-Powered Smart Home Automation
  Raspberry Pi, OpenCV, Flask, MQTT
  Engineered a smart home system integrating voice control, IoT management, and facial recognition for automation and monitoring.

• Advanced Statistical Analysis Platform
  R, ggplot2, dplyr, Parallel Computing
  Developed a platform for complex statistical modeling, reducing computation time by 50% and handling over 1 million data points efficiently.

• AWS Certified Solutions Architect - Associate
• Microsoft SC-900: Security, Compliance, and Identity Fundamentals
• 🏅 Best Paper Award - SRM ITDECC-24

• CNN-Based CAPTCHA Recognition using Convolution Neural Networks - ML
  Published in IEEE Xplore
  Designed and implemented a Convolutional Neural Network (CNN) model for automated CAPTCHA recognition, improving authentication security by 80%. Utilized TensorFlow and OCR techniques for enhanced accuracy.

• Federated Learning-Based Solutions for Privacy and Anonymity in the Internet of Medical Things - ML
  Published in IRJET, Volume 10, Issue 6

• Alternate Eyes for Blind - Advanced Wearable for Visually Impaired People
  Published in IRJET, Volume 10, Issue 6

• Email: [email protected]
• LinkedIn: linkedin.com/in/revmal
• GitHub: github.com/revanth2802

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