rajdhani express
@rajdhaniexpress
Aspiring software engineer skilled in full-stack and ML, building scalable solutions and automation.
What I'm looking for
I am an aspiring software engineer with a solid computer science foundation and hands-on experience in frontend, backend and machine learning projects. I have built real-time systems such as a gesture-recognition web interface, CNN-based image classifiers, and end-to-end face-detection pipelines while completing industry-simulated training.
I focus on writing pragmatic, performance-minded code and designing scalable cloud solutions using AWS best practices. I enjoy solving real-world problems through automation and continuous learning, and I bring disciplined academic performance alongside internship and project experience.
Experience
Work history, roles, and key accomplishments
Trainee
NSIC
Jun 2022 - Nov 2022 (5 months)
Completed structured industry-grade training and applied professional software tools to simulate real-world engineering problems across frontend and backend stacks during a 6-month traineeship.
Education
Degrees, certifications, and relevant coursework
CMR College of Engineering & Technology
Bachelor’s, Engineering / Computer Science
2023 -
Grade: GPA-8.0
Pursuing a Bachelor’s degree with coursework and projects in software engineering and full-stack development, maintaining a GPA of 8.0.
Forage (Walmart Global Tech) — Advanced Software Engineering Virtual Experience Program
Virtual Diploma, Software Engineering (virtual program)
2025 - 2025
Completed a virtual experience program simulating advanced software engineering tasks and enterprise-scale logistics scenarios.
Forage (Amazon Web Services) — AWS Cloud Solution Architecture Virtual Experience Program
Virtual Diploma, Cloud Solution Architecture (virtual program)
2025 - 2025
Completed a virtual experience program focused on designing scalable, cost-effective cloud architectures using AWS Elastic Beanstalk and best practices.
Teegala Krishna Reddy Engineering College
Bachelor’s, Engineering / Computer Science
2020 - 2023
Grade: GPA-8.4
Completed engineering coursework with emphasis on data structures and logistics optimization using Java, earning a GPA of 8.4.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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