I’m an M.Sc. Advanced Computer Science student at the University of Birmingham with hands-on experience building full-stack web applications and working on data science projects. I’ve developed RESTful APIs and backend services using Spring Boot and Node.js, created responsive frontends with React, and deployed systems on AWS, with a strong focus on reliability, security, and efficient development workflows. I’ve also delivered production-style work as a full-stack developer and intern, including an aviation booking platform designed for high concurrency, as well as a spam email detection pipeline that reached 92% classification accuracy. I enjoy turning requirements into working software—whether that means building scalable web features, integrating cloud services, or experimenting with machine learning solutions—and I’m now looking for roles where I can grow as a software engineer and contribute meaningful, end-to-end impact.

Aryan Verma

I’m an M.Sc. Advanced Computer Science student at the University of Birmingham with hands-on experience building full-stack web applications and working on data science projects. I’ve developed RESTful APIs and backend services using Spring Boot and Node.js, created responsive frontends with React, and deployed systems on AWS, with a strong focus on reliability, security, and efficient development workflows. I’ve also delivered production-style work as a full-stack developer and intern, including an aviation booking platform designed for high concurrency, as well as a spam email detection pipeline that reached 92% classification accuracy. I enjoy turning requirements into working software—whether that means building scalable web features, integrating cloud services, or experimenting with machine learning solutions—and I’m now looking for roles where I can grow as a software engineer and contribute meaningful, end-to-end impact.

Available to hire

I’m an M.Sc. Advanced Computer Science student at the University of Birmingham with hands-on experience building full-stack web applications and working on data science projects. I’ve developed RESTful APIs and backend services using Spring Boot and Node.js, created responsive frontends with React, and deployed systems on AWS, with a strong focus on reliability, security, and efficient development workflows.

I’ve also delivered production-style work as a full-stack developer and intern, including an aviation booking platform designed for high concurrency, as well as a spam email detection pipeline that reached 92% classification accuracy. I enjoy turning requirements into working software—whether that means building scalable web features, integrating cloud services, or experimenting with machine learning solutions—and I’m now looking for roles where I can grow as a software engineer and contribute meaningful, end-to-end impact.

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Experience Level

Expert
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Expert
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Expert
Intermediate
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Work Experience

Programmer Analyst Trainee at Cognizant Technology Solutions
July 1, 2025 - September 30, 2025
Completed an enterprise onboarding programme covering Java, Spring Boot, and React with instructor-led training and assessed coursework in a professional SDLC environment. Participated in early-stage development of an e-commerce platform using React and Spring Boot under manager supervision before relocating to the UK for postgraduate study.
Full Stack Developer at ASR Aviation
November 1, 2024 - May 31, 2025
Architected and delivered a full-stack aviation booking platform using React.js, Node.js, and Tailwind CSS to support 2,000+ concurrent user sessions. Built 5+ core frontend modules (flight booking, operator listings, administration dashboards), reducing internal development time by 30%. Designed secure, scalable AWS backend infrastructure and contributed to Agile testing, debugging, and release cycles, accelerating the product launch timeline by 20%.
Data Science Intern at Celebal Technologies
May 1, 2024 - July 31, 2024
Developed a spam email detection system using data preprocessing, feature engineering, and model training across Naive Bayes, SVM, Random Forest, Gradient Boosting, and CNN. Achieved 92% classification accuracy against an 82% target benchmark through systematic evaluation and selection. Deployed the final solution as a functional Python pipeline using scikit-learn and pandas.

Education

M.Sc. Advanced Computer Science (Merit) at University of Birmingham
September 1, 2025 - August 29, 2026
Semester Exchange Programme at VŠB - Technical University of Ostrava
March 1, 2025 - June 30, 2025
B.Tech (Hons.) Computer Science & Engineering (IoT & IS) (CGPA: 8.19) at Manipal University Jaipur
August 1, 2021 - July 31, 2025

Qualifications

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Industry Experience

Software & Internet, Computers & Electronics