Lokesh Namala

About

I’m an aspiring technology professional with a strong interest in web development, programming, education, and digital solutions. I enjoy learning new technologies, understanding how things work, and turning ideas into practical projects. My interests include HTML, CSS, JavaScript, Python, databases, responsive web design, and other modern technologies. I’m also interested in creating educational resources that make technology easier to understand for students and beginners. I’m currently focused on developing my technical skills, building real-world projects, and gaining practical experience. I’m a self-motivated learner who is comfortable starting from the basics, researching solutions, and continuously improving my work. I’m looking for opportunities where I can learn, contribute, and grow—whether through entry-level technology roles, web development projects, educational work, or other opportunities where my technical and problem-solving skills can be useful. I value consistency, curiosity, and practical learning, and I’m always open to learning something new and taking on meaningful challenges.

Experience

• Trainee Junior Engineer
  Cognyte Group
  Nov 2024 – Nov 2025
• Trainee Software Engineer
  Ivy Software Services
  Dec 2021 – Aug 2022

Education

• Bachelor of Technology
  CVR College of Engineering
  CSE · Aug 2017 – Jul 2021
• Intermediate
  Sree Ramachandra Junior College
  MPC · May 2015 – May 2017
• SSC
  SPR School of Excellence
  Schooling · Mar 2014 – Mar 2015

Skills

• C
• CSS
• Express.js
• HTML
• APIs
• Bootstrap
• Python
• Java
• JavaScript
• Node.js
• Windows
• Vercel
• Eclipse (IDE)
• jQuery
• npm
• Mongoose
• Visual Studio Code
• Atom
• EJS

Projects

• QR Based Restaurant Management System
  JavaScript, Node.js, MongoDB, HTML, CSS

  Built a QR-based restaurant management system with order tracking, menu management, and an admin dashboard.

• Smart Intelligent Traffic Accident Monitoring System
  Python, ImageAI, OpenCV, PyQt5

  Implemented object detection models for real-time traffic analysis and built a PyQt5 interface to upload images and process detection results.