M.Sc. Applied Computer Science
Education
Deggendorf Institute of Technology — Bavaria, Germany
Oct 2025 – Present
Graduate studies in applied computer science, building on a strong foundation in software engineering, systems, and advanced computing.
Hello, I am
Mohammad Belal Afzal
Full-stack software engineer focused on building scalable applications, with a passion for learning new technologies and solving complex problems. Currently pursuing an MSc in Applied Computer Science at Deggendorf Institute of Technology.
About Me
I am pursuing a Master of Science in Applied Computer Science at Deggendorf Institute of Technology (from 10/2025). I earned my B.Tech in Computer Science and Engineering from VIT Bhopal (2021–2025). Most recently I completed a software engineering internship at Wise Work, building a weather application with C#, .NET 8, Blazor Server, MongoDB, and Supabase, and improving API and front-end performance. I also work across the MERN stack and have delivered an ML pipeline for medical imaging classification.
Deggendorf, Germany · belalafzal19@gmail.com
3+
Major Projects
20+
Technologies
6 mo+
Industry Experience
Skills
Frontend
React
JavaScript
Next.js
Redux
Tailwind CSS
MUI
.NET / Blazor
Backend
Java
Express.js
REST / API design
Node.js
C# / Python
Django
MongoDB / PostgreSQL / MySQL
Tools and Practices
Git / GitHub
Docker / Kubernetes
AWS / Azure (basic)
CI/CD (GitLab, GitHub Actions, Jenkins)
AI/ML: Pandas, NumPy, LangChain
Jira, System Design, Agile/SCRUM
Swagger, Postman, Prompt Engineering
Projects
Modern Weather Application
Intern project at Wise Work: full-stack weather platform using C#, .NET 8, Blazor Server, MongoDB, and Supabase with authentication and database management. Responsive component-based UI with JavaScript; backend work for API consumption, processing, state, and DB operations—with focus on integrations, cloud services, performance, and scalable design.
C#
.NET 8
Blazor Server
MongoDB
Supabase
REST
HTML/CSS/JS
BrainNet — Tumour Detection (ML)
ML pipeline in Python with Pandas, NumPy, Matplotlib, and Seaborn for medical dataset analysis and tumour prediction. Data preprocessing, feature engineering, and supervised learning models reaching ~87% classification accuracy; automated workflows cut analysis time by ~30%.
Python
Pandas
NumPy
Matplotlib
Seaborn
ML
Desi Kalakaar — MERN E-Commerce
Full-stack MERN e-commerce platform with authentication, product catalog, and cart. RESTful APIs and CRUD supporting 1K+ products and multi-user access; optimized routes and queries for ~10–12% faster search and page loads.
MongoDB
Express.js
React
Node.js
REST
Experience
Software Engineer (Intern)
Internship
Wise Work — Bangalore, India
Feb 2025 – Aug 2025
Developed and deployed a real-time weather platform with external APIs, authentication, and scalable cloud databases. Improved backend API performance by ~18% through optimized request handling and data processing. Enhanced UI with HTML, CSS, and JavaScript, reducing page load time by ~15%. Recognized as Intern of the Month and offered a full-time role based on performance.
B.Tech — Computer Science and Engineering
Education
Vellore Institute of Technology — Bhopal, India
2021 – 2025
CGPA 7.5
CBSE (Class XII)
Education
Delhi Public School — Varanasi, India
2019 – 2020
Score 78.6%.