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I am Arushi Singhal, Software Engineer at Amazon.
I have a keen interest in Algorithmic Problem Solving and have been programming for around 7 years now. I interned in Summer 2019 at Google as a Software Engineer. In Summer 2018, I did a Machine Learning internship at Robert Bosch Engineering and Private Limited, Bangalore, India (RBEI). I have multiple experiences of back-end development for large-scale systems. During my internships, I worked with Python and machine learning libraries in Python, Java, gRPC, Protocol Buffer, Google Guice and Google’s Internal Frameworks, Django, Ruby on Rails.
I have also contributed to many open-source projects, including the Linux Kernel. I have submitted over 50 patches to kernel code. My other contribution to Open Source can be seen on my GitHub Profile. I am also passionate about mentoring and motivating people to contribute to open-source projects and was Google Code-In Mentor in 2017 for OpenWISP and Sugar Labs. I also worked as a Computer Science Instructor at CodeConnect, where we as an instructor ensure that our computer science education is accessible, empowering, and supportive for the next generation, and committed to our mission of increasing diversity in tech. In CodeConnect, I gave Python lectures to Pre-University students.
I also used to be a Student Teaching Assistant and Research Assistant and I find teaching/mentoring extremely motivating - sometimes I'd get introduced to new interesting topics that I'd probably never think of finding out about on my own if it wasn't for the purpose of explaining it to someone else. Sometimes I'd get a completely new perspective on subjects I thought I knew when trying to find a way to present it to someone else. I'd really love to keep learning this way.
One of the topics I'm always happy to talk about are the interviews - I've done a fair share of them, most of them in top tech companies and I would love to share what I've observed so far. I'm always up for tackling interesting interview questions, doing mock interviews or just giving resume tips (I got my interviews at Amazon, Facebook, Microsoft, Google and also at open-source communities without a referral, so I might help you with reviewing your resume to make it stand out. :))
Other than that, you can always reach out to me if you have questions related to Java, Python, R, Matlab, C, C++, Data Structures, Algorithms, SQL, GIT, Mathematics etc. I try to keep my knowledge and skills up to date and learn something new every day by helping you!
Being a researcher, quick learner and having software development experience, I believe I am a good fit for mentoring.
I'm a Python developer with experience in (full stack) web app development. I also have expertise in GNU/Linux internals and utilities.
- [My StackExchange profile](https://stackexchange.com/users/2936584/heemayl?tab=accounts)
- [My blog](https://heemayl.net)
6 years of experience in building and managing AI Systems.
* I develop end-to-end AI systems from requirements analysis, and data gathering to deployment, implementing new methods/research papers, and turning projects into research outcomes. I have achieved substantial performance in DL/ML/RL models for CV and NLP domain problems.
* Implementing and deploying projects handling and maintaining scalability, research papers as well as POCs.
* Project planning, requirements gathering, and analysing requirements to define the system's architecture, and implementation timeline.
* Provide mentoring to junior developers for ML projects.
Website: [roshantanisha.github.io/?ref=codementor](http://roshantanisha.github.io/?ref=codementor)
Summary:
I like to work on technology that is smart, simple and sophisticated. This sums up the vast knowledge required to work on projects to excel in a working product. I like to train Deep Neural Networks and understand them well.
I have mentored many students for their AI careers, teaching them Machine Learning and Mathematics. I am a mentor for the RFS (Reach for the Stars) Programme by the Aga Khan Education Board for India. I am an alumnus of this program as well.
I have a cumulative experience of 6 years working in the product and service-based industry for creating Machine Learning projects.
I have done some innovative work that I am proud of and am continuing to do so. I try my best to contribute my expertise to the project I am working on.
Highly Experienced in Machine Learning, Deep Learning, Advanced Deep Learning, Artificial Intelligence, and Algorithms, including models in the production environment, and deploying ML models. Working with top Indian colleges like BITS, niche NLP and CV, real-estate startups, MNCs, and Fortune top 20 companies, working with sensitive anonymized datasets, and creating state-of-the-art models are some of my achievements. I have strong and correct knowledge of Deep Learning concepts from the above experiences.
Working in the IT sector for more than 10 years.
With over 10 -years of freelancing and professional experience taught me all kinds of frameworks and languages, ranging from React, Angular, Vue, Node js, Express js, React Native, Redux, Rx JS, JavaScript, Typescript, WordPress, PHP, MySQL, MongoDB, Firebase, Sqlite, Postgresql, ES5+, Python3, Machine Learning, Deep Learning, RNN, CNN, C/C#/C++, .Net, Assembly, VBA, VB, Excel Macro, Java, Spring Boot Micro-services, R, Shiny, STATA, MATLAB, Google Sheet, App Script, Bubble io, etc.
Over my long career, I have come across all kinds of challenges and gained vast experience with different kinds of industries like portals, medical industry, perception exercise, employee management, etc.
I have good experience with frontend development using React JS along with Typescript, Firebase, GraphQL, React Native, Native Script, React, Material UI, Ionic, Node.js, Web Sockets, and real-time communication.
I have also worked on containerization technologies like Kubernetes, Docker, AWS, GCP, Azure etc.
I am very good with backend technologies as well like Java Spring boot, microservices, MySQL, Postgres, Elasticsearch, AWS/Google integration.
Please contact me to get the result done in a professional way.
Specialist in GCP services. Experience in Data Engineering since 2010. Applied Data/machine learning engineer using python for the last few years. Understanding data and applying the ML algorithm to solve use cases include data preparation. Also expertise in making pipeline for data related projects.
See more: **https://subhadip.ca**
Solution-oriented. Love helping others. Passionate on Software/Web Development.
I'm also open for **part-time/full-time job opportunity**. If your company or your friend needs a backend/frontend dev, please reach out to me.
See the power of our Google cloud sql tutors through glowing user reviews that showcase their successful Google cloud sql learning journeys. Don't miss out on top-notch Google cloud sql training.
“Mario has been an exceptional React mentor, guiding me through a large React, Vite, and TypeScript codebase. His deep expertise and strategic mindset ensure we build the right things in the right way. Mario’s mentorship has greatly accelerated my learning and development, providing invaluable insights into both coding and strategic planning. I highly recommend him to anyone looking to enhance their React skills and and software engineering skills!“
Daniel Meas / Jun 2024
Mario K.
Google cloud sql tutor
“Tested mic and headphone before session and it worked.
Unfortunately during session mic and headphone is connected but the volume cannot be louder.
Didn't manage to solve the request due to technicality issue, however the mentor is nice enough to refund the money back to me.“
Prefrontal Learning Center / Jun 2024
Emmanuel Gbenga
Google cloud sql tutor
“Looked at security best practices part 2/3, checking Firebase authentication in my project and if all is set up well, talked about data structuring, and fixed some issues with my Google Maps API. Thanks a lot again Nir! Happy with the session as always.“
Bas Idsinga / Jun 2024
Nir Yasoor
Google cloud sql tutor
“David is extremely knowledgeable with Swift programming, yet at the same time very personable and easy to talk to. This combination is hard to come by. Highly recommend working with him. Sometimes my brain hurts afterwards tho.“
Nicholas Hershy / Jun 2024
David Ingle
Google cloud sql tutor
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Frequently asked questions
Learning Google cloud sql 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 Google cloud sql. 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 Google cloud sql, 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 Google cloud sql 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 Google cloud sql through forums and online communities. This engagement offers support, new learning resources, and insights into industry practices.
Build real-world projects: Apply your Google cloud sql skills to real-world projects. This could be anything from developing a simple app to contributing to open source projects. Using Google cloud sql in practical applications not only boosts your learning but also builds your portfolio, which is crucial for career advancement.
Stay updated: Since Google cloud sql 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.
The time it takes to learn Google cloud sql 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 Google cloud sql 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 Google cloud sql’s more advanced features and best practices.
Advanced level: Achieving proficiency or an advanced level of skill in Google cloud sql generally requires at least 2 years of consistent practice and learning. This includes mastering sophisticated aspects of Google cloud sql, contributing to major projects, and possibly specializing in specific areas within Google cloud sql.
Continuous learning: Technology evolves rapidly, and ongoing learning is essential to maintain and improve your skills in Google cloud sql. Engaging with new developments, tools, and methodologies in Google cloud sql 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.
The cost of finding a Google cloud sql 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 Google cloud sql 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 Google cloud sql 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.
Learning Google cloud sql 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 Google cloud sql, 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 Google cloud sql 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 Google cloud sql 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 Google cloud sql in a structured, supportive, and effective environment.
Personalized Google cloud sql 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 Google cloud sql.