Vishwesh - Computer programming tutor - Greenford
1st lesson free
Vishwesh - Computer programming tutor - Greenford

Vishwesh profile and its contact details have been verified by our experts

Vishwesh

  • Rate R561
  • Response 24h
  • Students

    Number of students Vishwesh has accompanied since joining Superprof

    6

    Number of students Vishwesh has accompanied since joining Superprof

Vishwesh - Computer programming tutor - Greenford

R561/h

1st lesson free

Contact

1st lesson free

1st lesson free

  • Computer Programming
  • Artificial Intelligence

Learn Software Design and Development from an accomplised Software Architect and Engineer to improve your software dev skills and land a decent job in tech.

  • Computer Programming
  • Artificial Intelligence

Lesson location

About Vishwesh

I am a software architect and engineer who started a self-taught programmer. I started with full-stacks development when I was 14 or 15 and Java was my first programming language.

Have contributed and worked with two enterprise organisations from different domains (Fintech, Media and Entertainment) while in the UK and by the age of 23. Was responsible for architecting, developing, testing, deploying, maintaining and delivering Enterprise grade software solutions.

Tech I work with;
- HTML, CSS, Bootstrap, MaterialUI
- JavaScript (ES6), TypeScript (ES6), jQuery, React, Redux
- Flutter/Dart
- Java (Spring Boot)
- Kotlin (Spring Boot)
- Python (Flask, Python Selenium)
- PHP (Laravel)
- Database: MySQL, MariaDB, OracleDB, Amazon RDS Aurora
- GraphQL, REST
- Firebase, AWS
- CI/CD
- DSA (Data Structures and Algorithms)
- SOLID principles
- Multi-threading, Asynchronous Programming
- Token-based authenication
- Software design and architecture (Ex. microservices, data piplelines, ingestion service)
- Testing (Pytest, Mockkito, TDD, Left-shift testing, etc)
- Domain Driven Development (DDD)
- Version Control (Git, Github, Trunk-based development)
- AI/ML Libraries (SciKit Learn, Pandas , Numpy, Keras, PyTorch)
- Machine Learning Algorithms (Decision-tree, Random Forest, Naive Bayes, Support Vector Machine (SVM), Variational Bayes Expectation Maximization (VBEM), Karnaugh Nearest Neighbours (KNN))
- Deep Learning Algorithms (Neural Networks, Recurrent Neural Networks, Self-organising Map)
- Data Scraping (Python Selenium, Java Jsoup, Python Beautiful Soup 4 (BS4))

See more

About the lesson

  • Primary
  • Secondary
  • Matric/GCSE
  • +14
  • levels :

    Primary

    Secondary

    Matric/GCSE

    AS Level

    A Level

    BTech

    Adult education

    Undergraduate

    Masters

    Diploma

    Doctorate

    MBA

    Beginner

    Intermediate

    Advanced

    Professional

    Kids

  • English

Languages in which the lesson is available :

English

Hey, Vish here. I am Software Architect and Engineer based in the UK and have been into development for 5+ years. In addition, I'm experienced in leading tech teams and training new comers.

I believe learning programming is very essential to improve logical and analytical thinking. I can help you improve your engineering skills like enterprise grade software design and coding, resulting in being a better problem solver in life or landing a decent job in tech.

Tech I work with;
- HTML, CSS, Bootstrap, MaterialUI
- JavaScript (ES6), TypeScript (ES6), jQuery, React, Redux
- Flutter/Dart
- Java (Spring Boot)
- Kotlin (Spring Boot)
- Python (Flask, Python Selenium)
- PHP (Laravel)
- Database: MySQL, MariaDB, OracleDB, Amazon RDS Aurora
- GraphQL, REST
- Firebase, AWS
- CI/CD
- DSA (Data Structures and Algorithms)
- SOLID principles
- Multi-threading, Asynchronous Programming
- Token-based authenication
- Software design and architecture (Ex. microservices, data piplelines, ingestion service)
- Testing (Pytest, Mockkito, TDD, Left-shift testing, etc)
- Domain Driven Development (DDD)
- Version Control (Git, Github, Trunk-based development)
- AI/ML Libraries (SciKit Learn, Pandas , Numpy, Keras, PyTorch)
- Machine Learning Algorithms (Decision-tree, Random Forest, Naive Bayes, Support Vector Machine (SVM), Variational Bayes Expectation Maximization (VBEM), Karnaugh Nearest Neighbours (KNN))
- Deep Learning Algorithms (Neural Networks, Recurrent Neural Networks, Self-organising Map)
- Data Scraping (Python Selenium, Java Jsoup, Python Beautiful Soup 4 (BS4))

See more

Rates

Rate

  • R561

Package rates

  • 5h: R2805
  • 10h: R5610

online

  • R561/h

free lesson

The free first lesson with Vishwesh allows you to get to know the tutor and discuss your needs and expectations.

  • 1h

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