Ajay Kumar

I am a Software Engineer at Product company +Tutor
My essential skills are :
Programming Languages and Software Development:
Proficiency in multiple programming languages (e.g., Python, Java, C++)
Software design and architecture
Debugging and troubleshooting
Version control (e.g., Git)
Data Structures:

Understanding and implementation of data structures (e.g., arrays, linked lists, trees, graphs)
Algorithms for manipulating data structures
Time and space complexity analysis
Algorithms:
Algorithm design and analysis
Problem-solving skills
Knowledge of sorting, searching, and graph algorithms
Computer Organization and Architecture:
Understanding of CPU architecture
Memory management
Assembly language programming
Operating Systems:
Knowledge of operating system concepts (e.g., processes, memory management, file systems)
System administration skills
Database Systems:
Relational database design (e.g., SQL)
NoSQL databases
Database management and optimization
Networking:
Networking protocols and architectures (e.g., TCP/IP)
Network configuration and troubleshooting
Software Engineering:
Software development methodologies (e.g., Agile, Scrum)
Software testing and quality assurance
Requirements for engineering and documentation
Artificial Intelligence and Machine Learning:
Machine learning algorithms
Data preprocessing and feature engineering
Deep learning frameworks (e.g., TensorFlow, PyTorch)
Web Development:
Front-end development (HTML, CSS, JavaScript)
Back-end development (e.g., Node.js, Django, Ruby on Rails)
Web security
Cybersecurity:
Network security and encryption
Vulnerability assessment and penetration testing
Security best practices
Human-Computer Interaction (HCI):
User interface design
Usability testing
User experience (UX) design principles
Software Development Tools:
Integrated Development Environments (IDEs)
Debugging tools
Profiling tools
Parallel and Distributed Computing:
Parallel programming
Distributed systems architecture
Cloud computing platforms (e.g., AWS, Azure, Google Cloud)
Theory of Computation:
Formal languages and automata theory
Turing machines
Computability and complexity theory
Computer Graphics:
2D and 3D graphics programming
Rendering techniques
Computer animation
Data Science:
Data analysis and visualization
Big data technologies (e.g., Hadoop, Spark)
Statistical modelling and machine learning
Ethical and Legal Considerations:
Understanding of computer ethics
Knowledge of intellectual property and privacy laws
Project Management:
Project planning and management
Agile methodologies
Team collaboration and communication skills
Mathematics:
Mathematical solid foundation (e.g., calculus, linear algebra, discrete mathematics)