• 🎓 B.Tech — Computer Science & Engineering, IIIT Bhagalpur
• 💻 Backend-focused Software Developer
• 🧠 Strong in Data Structures & Algorithms
• 🔐 Interested in secure, scalable backend architectures
• 🤖 Exploring AI-driven systems & ML-powered applications
• ☁ Exposure to Cloud fundamentals & containerized systems

I enjoy designing systems that are clean, modular, and production-oriented.

• Backend System Design
• REST API Development
• Database Architecture & Optimization
• Transactional Workflows
• Analytics & Reporting Automation
• AI/ML Backend Integration
• Cloud & Container Concepts

• Python
• Java
• JavaScript
• SQL

• REST APIs
• Authentication & RBAC
• Node.js (Basics)
• React (Basics)
• HTML / CSS

• MySQL
• PostgreSQL
• Relational Schema Design
• Query Optimization
• ACID Transactions

• IBM Cloud Fundamentals
• Kubernetes Basics
• Git & Version Control

• Data Structures & Algorithms
• Time & Space Complexity
• Object-Oriented Programming
• Logging & Error Handling

Secure Backend System | SQL | Role-Based Access Control

• Designed authentication & role-based authorization system
• Implemented ACID-compliant transactional vote handling
• Prevented duplicate operations using validation & constraints
• Built optimized SQL aggregation queries for real-time reporting
• Structured modular backend components simulating enterprise systems

🔗 https://github.com/theayanmalik/election-management-portal

Python | REST Backend | SQL Analytics

• Designed complaint lifecycle workflow (creation → escalation → closure)
• Implemented ticket prioritization & status tracking logic
• Generated operational summaries using SQL aggregation
• Structured backend modules with validation & error handling
• Simulated real-world enterprise support platform architecture

🔗 https://github.com/theayanmalik/complaint-resolution-system

Machine Learning | Data Processing | Algorithms

• Built similarity-based recommendation engine
• Implemented ranking logic & dataset preprocessing
• Designed backend inference workflow
• Applied evaluation metrics for performance validation

🔗 https://github.com/theayanmalik/movie-recommendation-system

ML Pipeline | Backend Integration

• Developed image preprocessing & inference workflow
• Structured ML invocation through backend modules
• Focused on maintainable pipeline architecture
• Evaluated performance on benchmark datasets

🔗 https://github.com/theayanmalik

• IBM Cloud Kubernetes Service — IBM SkillsBuild
• IBM Cloud Professional Architect Concepts — IBM SkillsBuild
• Advanced SQL & PostgreSQL Developer Guide — Udemy
• Technical Support Fundamentals — Google
• JavaScript Essentials — Cisco Networking Academy

• GitHub: https://github.com/theayanmalik
• LinkedIn: https://www.linkedin.com/in/ayan-parwez-2a47a51a9/

Write clean code.
Design scalable systems.
Think in architecture.