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Sourav is a Senior Software Developer at IBM Research Lab. He is working as a Full-Stack Developer in building highly scalable, resilient distributed systems.
Sourav will help you with to prepare coding interviews, System Design for FAANG and other top product companies
Have been passionately solving Leetcode, HackerRank, Codechef, Codeforces, Codesignal problems, and enthusiastically solving problems with the analysis of space...
♛ Career Domain -
▪️ Data structures & algorithms.
▪️ Large-scale distributed systems(HLD/LLD).
▪️ E2E Backend system architecture(API Gateways/LB/Cache/DB/Messaging Queues/Microservices).
▪️ REST APIs/Data Streams/Batch Jobs/Event-driven systems.
▪️ Java/Rx/SpringBoot/Hibernate/MySQL/Cassandra/Docker/Kubernetes/CICD/Git/Cloud.
▪️ Software engineering mentorship to the freshers/experienced professionals.
♛ Key Responsibilities -
▪️ Building scalable quality software solutions by designing, writing code, and unit tests through consistent development practices with a focus on continuous integration/continuous deployment, continuous monitoring, and automated testing(TTD/BDD).
▪️ Debugging software components, identifying code defects, and remediating the buggy flow.
▪️ Participating in code reviews and collaborating on best practices with colleagues.
▪️ Enabling the deployment, support, and monitoring of software across test, integration, and production environments.
▪️ Identifying opportunities for adopting new technologies.
▪️ Demonstrating increased self-reliance to achieve team goals. Influencing team members with creative changes and improvements by challenging the status quo and demonstrating risk-taking.
▪️ Effectively interpreting technical & business objectives, functional/non-functional requirements, involved challenges, and articulating solutions.
▪️ Collaborating with a team of Engineers, Scrum Master, and Product Owner to effectively achieve objectives by clearly communicating ideas and concepts.
▪️ Mentoring and guiding junior team members to success within the team.
▪️ Interviewing college grads/senior engineers as part of global hiring events across the org.
```Feel free to reach out for anything related to,```
▪️ Software Design/Development/Prototyping/Pair coding.
▪️ Web Technologies/API design/Code reviews.
▪️ Career development/Consulting/Training/Mentorship/Interviews in technology/DSA/System Design.
▪️ Business Idea and its transformation into technology.
I'm a full stack software engineer, technical writer and computer science educator. I enjoy testing, debugging, refactoring, application design, maintaining projects and teaching.
My primary technologies are JavaScript, React, Express (PERN stack), Playwright, Puppeteer, Python, Flask and C. See my [Stack Overflow tags](https://stackoverflow.com/users/6243352/ggorlen?tab=tags) for more technologies ordered roughly by my interest and experience.
In addition to Stack Overflow, I'm active on [Code Review Stack Exchange](https://codereview.stackexchange.com/users/171065/ggorlen). Feel free to peek at a few of these reviews to get a sense of the insights I can offer your code.
For further information, visit my [Codementor FAQ](https://ggorlen.glitch.me/codementor).
I'm looking forward to hearing about your project!
_<sub>Profile picture by the wonderful [Emily Huston](https://emilyhuston.github.io) ❤️</sub>_
I TEACH & DEVELOP Drupal!
For many years now, I've been helping institutions of Higher Education, State & Federal Governments, & Private Companies to leverage Drupal solutions. Training, Consulting, & Developing Drupal is all I do, and I do it a lot!
NASA, The US Federal Court, Highlights Magazine for Children, The Ohio State University, Cal State, A.C.T. & many others have counted on me to deliver Drupal in a practical and engaging way. Whether onsite or remote, let me help you get where you want to be in your Drupal adventure.
BIO
I entered Geekdom as a fifth grader in 1983 with a Commodore 64 & a 300baud connection to CompuServe. 31 years later I started the Indiana Drupal Users Group & develop websites in Drupal and teach Drupal full-time.
Catch my blog at www.DougVann.com. Google "Drupal Song," and you're likely to find a few videos of me, jamming on the guitar, unabashedly proclaiming my passion for Drupal!
My love for learning and experimenting in Drupal is overshadowed only by my love to teach and evangelize it. I have presented in Minneapolis, Toronto, Indianapolis, Ohio LinuxFest, DoItWithDrupal, and DrupalCamps in New York City, Madison, Atlanta, Los Angeles, Oakland, San Diego, Charlotte, Chicago, Orlando, Nashville, Chattanooga, Denver, etc.
You can often find me on the FREENODE IRC Network in Drupal-support helping people get through the learning curve of Drupal.
I reside in Indianapolis, Indiana with my wife of 18 years, & our 4 children.
Specialties: Individual training, Corporate training, Module development, Project discovery, Information architecture, Site Development.
Being a good geek is not enough in this high-tech era. I understand that technology means business & business means money. Wether I'm training you, building your project for you, or building your project with you, I understand that you have expectations that the final product will deliver solutions and positively impact your business.
I make sure that happens.
#### Empowering Developers: From Novice to Expert
Are you looking to embark on your software development journey or elevate your existing skills? With expertise in Python, Java, TypeScript/JavaScript, Rust, Dart/Flutter, Haskell and Clojure. I offer comprehensive guidance tailored to your needs. My approach combines technical proficiency with essential soft skills, ensuring you're well-equipped for the industry's challenges.
#### Beyond Learning: Practical Implementation
For those seeking hands-on assistance, I'm available for projects of various scales. Whether it's implementing new features, debugging complex issues, or optimizing database performance with Postgres and MongoDB, I bring a wealth of experience to the table. My commitment to clean code, SOLID principles, and multi-layered architecture ensures robust, maintainable solutions.
#### Navigating the AI Landscape
In the rapidly evolving field of artificial intelligence, I offer insights into the workings of Large Language Models (LLMs) and their applications. From crafting effective prompts to exploring the potential of open-source models, I can guide you through the intricacies of AI integration in your projects. Let's unlock the power of AI together and push the boundaries of what's possible in software development.
#### Cutting-Edge Methodologies
My unique approach to software development incorporates algebraic design principles and property-based testing. By employing a multi-tiered model that seamlessly integrates declarative functional programming, object-oriented design, and imperative coding, I create systems that are both elegant and efficient. This methodology allows for clear, abstract specifications that translate into practical, high-performance code.
*Technologies / Skills*
- Clean Architecture
- Python
- Java
- TypeScript/JavaScript
- Rust
- Dart/Flutter
- Haskell
- Clojure
- PostGreSQL
- MongoDB
- SOLID principles
- TDD / BDD / ATDD
- LLMs
- ChatGPT, Claude, Llama
Always learning and always yearning, I sincerely believe that we can achieve greater heights by collaborating on our problems. I love to be involved with technical communities in different capacities and enjoy solving issues. I have had more than 50 mentoring sessions on HackHands ( http://www.hackhands.com/hiren ). Currently I run my own business, which is into mobile apps and websites.
Dynamic, self-motivated, highly qualified, fast learning and results oriented Engineering Leader/Architect with 10+ years of experience working on variety of software products and technologies. Track record of delivering quality products on time.
Specialties: Big Data Technologies, Analytics, Ad Exchanges, Ad Mediation, Data Mining, Machine Learning, Hadoop, AWS, distributed computing, infrastructure design & development .
Contributor for book "Machine Learning Engineering" by Andriy Burkov.
See the power of our Data architecture tutors through glowing user reviews that showcase their successful Data architecture learning journeys. Don't miss out on top-notch Data architecture training.
“Nabil found me and within minutes I knew I had the right mentor! He talks to you like you are a real person, imagine that! He is patient and has a sound understanding on the issues we addressed. I dont know why you would pick anybody else!“
Trish Maliro / Oct 2024
Nabil CHIHEB
Data architecture tutor
“Olajide was wonderful with my son teaching him about white hat hacking starting with the basics of the different types of vulnerabilities. I appreciate his patience and making sure my son understood concepts throughout the lesson. He's very knowledgeable and we're looking forward to future sessions!“
Courtney Barmack / Oct 2024
Olajide Olanrewaju
Data architecture tutor
“John was amazing. He patiently listened to my questions and helped me with my doubts in SQL in a thorough manner. He was very good at explaining all concepts and providing me with the right resources needed to clarify my questions. I would highly recommend John to anyone that needs assistance with coding.“
Vaishali Prabakaran / Oct 2024
John Oladele
Data architecture tutor
“As always, my session with Isaac was excellent. He is so knowledgeable and straight to the point. We are coming to the end of our development of my first app, with his skills and experience, the app is looking great. I will definitely be continuing future work with him, developing my Power Platform skills.“
Faisal Khayer / Oct 2024
Isaac Eduardo Krauss Moreno
Data architecture tutor
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Frequently asked questions
How to learn Data architecture?
Learning Data architecture effectively takes a structured approach, whether you're starting as a beginner or aiming to improve your existing skills. Here are key steps to guide you through the learning process:
Understand the basics: Start with the fundamentals of Data architecture. You can find free courses and tutorials online that cater specifically to beginners. These resources make it easy for you to grasp the core concepts and basic syntax of Data architecture, laying a solid foundation for further growth.
Practice regularly: Hands-on practice is crucial. Work on small projects or coding exercises that challenge you to apply what you've learned. This practical experience strengthens your knowledge and builds your coding skills.
Seek expert guidance: Connect with experienced Data architecture tutors on Codementor for one-on-one mentorship. Our mentors offer personalized support, helping you troubleshoot problems, review your code, and navigate more complex topics as your skills develop.
Join online communities: Engage with other learners and professionals in Data architecture through forums and online communities. This engagement offers support, new learning resources, and insights into industry practices.
Build real-world projects: Apply your Data architecture skills to real-world projects. This could be anything from developing a simple app to contributing to open source projects. Using Data architecture in practical applications not only boosts your learning but also builds your portfolio, which is crucial for career advancement.
Stay updated: Since Data architecture is continually evolving, staying informed about the latest developments and advanced features is essential. Follow relevant blogs, subscribe to newsletters, and participate in workshops to keep your skills up-to-date and relevant.
How long does it take to learn Data architecture?
The time it takes to learn Data architecture depends greatly on several factors, including your prior experience, the complexity of the language or tech stack, and how much time you dedicate to learning. Here’s a general framework to help you set realistic expectations:
Beginner level: If you are starting from scratch, getting comfortable with the basics of Data architecture typically takes about 3 to 6 months. During this period, you'll learn the fundamental concepts and begin applying them in simple projects.
Intermediate level: Advancing to an intermediate level can take an additional 6 to 12 months. At this stage, you should be working on more complex projects and deepening your understanding of Data architecture’s more advanced features and best practices.
Advanced level: Achieving proficiency or an advanced level of skill in Data architecture generally requires at least 2 years of consistent practice and learning. This includes mastering sophisticated aspects of Data architecture, contributing to major projects, and possibly specializing in specific areas within Data architecture.
Continuous learning: Technology evolves rapidly, and ongoing learning is essential to maintain and improve your skills in Data architecture. Engaging with new developments, tools, and methodologies in Data architecture is a continuous process throughout your career.
Setting personal learning goals and maintaining a regular learning schedule are crucial. Consider leveraging resources like Codementor to access personalized mentorship and expert guidance, which can accelerate your learning process and help you tackle specific challenges more efficiently.
How much does it cost to find a Data architecture tutor on Codementor?
The cost of finding a Data architecture tutor on Codementor depends on several factors, including the tutor's experience level, the complexity of the topic, and the length of the mentoring session. Here is a breakdown to help you understand the pricing structure:
Tutor experience: Tutors with extensive experience or high demand skills in Data architecture typically charge higher rates. Conversely, emerging professionals might offer more affordable pricing.
Pro plans: Codementor also offers subscription plans that provide full access to all mentors and include features like automated mentor matching, which can be a cost-effective option for regular, ongoing support.
Project-based pricing: If you have a specific project, mentors may offer a flat rate for the complete task instead of an hourly charge. This range can vary widely depending on the project's scope and complexity.
To find the best rate, browse through our Data architecture tutors’ profiles on Codementor, where you can view their rates and read reviews from other learners. This will help you choose a tutor who fits your budget and learning needs.
What are the benefits of learning Data architecture with a dedicated tutor?
Learning Data architecture with a dedicated tutor from Codementor offers several significant benefits that can accelerate your understanding and proficiency:
Personalized learning: A dedicated tutor adapts the learning experience to your specific needs, skills, and goals. This personalization ensures that you are not just learning Data architecture, but exceling in a way that directly aligns with your objectives.
Immediate feedback and assistance: Unlike self-paced online courses, a dedicated tutor provides instant feedback on your code, concepts, and practices. This immediate response helps eliminate misunderstandings and sharpens your skills in real-time, making the learning process more efficient.
Motivation and accountability: Regular sessions with a tutor keep you motivated and accountable. Learning Data architecture can be challenging, and having a dedicated mentor ensures you stay on track and continue making progress towards your learning goals.
Access to expert insights: Dedicated tutors often bring years of experience and industry knowledge. They can provide insights into best practices, current trends, and professional advice that are invaluable for both learning and career development.
Career guidance: Tutors can also offer guidance on how to apply Data architecture in professional settings, assist in building a relevant portfolio, and advise on career opportunities, which is particularly beneficial if you plan to transition into a new role or industry.
By leveraging these benefits, you can significantly improve your competency in Data architecture in a structured, supportive, and effective environment.
How does personalized Data architecture mentoring differ from traditional classroom learning?
Personalized Data architecture mentoring through Codementor offers a unique and effective learning approach compared to traditional classroom learning, particularly in these key aspects:
Customized content: Personalized mentoring adapts the learning material and pace specifically to your needs and skill level. This means the sessions can focus on areas where you need the most help or interest, unlike classroom settings which follow a fixed curriculum for all students.
One-on-one attention: With personalized mentoring, you receive the undivided attention of the tutor. This allows for immediate feedback and detailed explanations, ensuring that no questions are left unanswered, and concepts are fully understood.
Flexible scheduling: Personalized mentoring is arranged around your schedule, providing the flexibility to learn at times that are most convenient for you. This is often not possible in traditional classroom settings, which operate on a fixed schedule.
Pace of learning: In personalized mentoring, the pace can be adjusted according to how quickly or slowly you grasp new concepts. This custom pacing can significantly enhance the learning experience, as opposed to a classroom environment where the pace is set and may not align with every student’s learning speed.
Practical, hands-on learning: Mentors can provide more practical, hands-on learning experiences tailored to real-world applications. This direct application of skills is often more limited in classroom settings due to the general nature of the curriculum and the number of students involved.
Personalized mentoring thus provides a more tailored, flexible, and intensive learning experience, making it ideal for those who seek a focused and practical approach to mastering Data architecture.