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Guschin Alexander
ML Engineer at Iterative.ai - ML Instructor with 100K+ students
Professional Background
Alexander Guschin is a highly experienced Machine Learning Engineer with a rich professional background spanning over five years. His career reflects a dedication not only to the practical applications of machine learning but also to building high-functioning teams focused on delivering business outcomes through this transformative technology. Alexander has successfully built and led numerous machine learning projects across various industries, including ride-hailing services, e-commerce, and industrial manufacturing. His role as a Machine Learning Lead showcases his commitment to fostering responsible and goal-oriented teams that strive for excellence in every project.
With a focus on delivering sustainable business value via machine learning, Alexander emphasizes creating production-ready solutions that maintain high quality. His broad experience in the Python ecosystem has equipped him with a robust skillset, allowing him to navigate the complexities of various machine learning initiatives seamlessly. Using tools such as numpy, pandas, sklearn, lightgbm, keras, Docker, Kubernetes, and more, he has played a pivotal role in enhancing technological processes and driving project success.
Education and Achievements
Alexander's academic credentials are impressive, having obtained both a Bachelor's and Master's degree in Applied Mathematics & Physics and Data Analysis from the prestigious Moscow Institute of Physics and Technology (MФТИ), a renowned institution known for producing top-tier professionals in the field of science and technology. His steadfast educational foundation has significantly contributed to his advanced understanding of data analytics and its applications in machine learning.
Beyond traditional education, Alexander's enthusiasm for machine learning extends into competitive arenas. He has showcased his practical skills and strategic thinking by participating in numerous machine learning competitions, achieving the esteemed title of Kaggle Grandmaster. This pinnacle achievement places him in the top echelon of data scientists globally, showcasing his ability to solve complex problems efficiently.
In addition to his extensive technical experience, Alexander is passionate about education and knowledge sharing. He has co-authored a Coursera course titled "How to Win a Data Science Competition," aimed at equipping aspiring data scientists with the tools to excel in competitive environments. With over five years of teaching experience, he has served as a Data Science Instructor, sharing his insights and knowledge with students eager to learn the intricacies of data science.
Notable Work Experience
Alexander's career trajectory includes a variety of prominent roles that reflect his deep expertise in machine learning and data science. He has served as a Machine Learning Engineer at Iterative, where his contributions have been instrumental in driving machine learning initiatives forward. His previous experience includes significant roles at renowned organizations such as Yandex, Mechanica AI, and AVITO.ru, where he held positions ranging from Data Scientist to Team Lead.
As a Data Science Team Lead at Yandex, he honed his leadership skills, managing diverse teams while ensuring the successful completion of projects. His tenure at this leading technology company allowed him to work alongside other experts and refine his skills in data analysis and machine learning.
In his capacity as a former Data Science Teacher at MФТИ, Alexander utilized his academic background to mentor and guide the next generation of data scientists. His commitment to fostering education allows him to contribute to the field actively, nurturing future talent in machine learning and data analysis.
Given his comprehensive understanding of machine learning and data science processes, Alexander has successfully led projects that emphasize efficiency and quality, striving to reduce technical debt while maximizing productivity. His capability to improve existing technical processes is a testament to his dedicated approach to machine learning and team management.
Conclusion
In summary, Alexander Guschin embodies the spirit of innovation and leadership in the field of machine learning. His academic credentials, coupled with an extensive professional background and a track record of success in competitive environments, establishes him as a leading figure in the machine learning community. Through his lectures, mentoring, and community engagement, he continues to make substantial contributions to the development of the data science field and the training of emerging talents. Alexander's passion for machine learning, combined with his collaborative approach to team building, marks him as a remarkable machine learning engineer and educator who is poised to lead the way in the industry for years to come.
Highlights
Excited to explore new opportunities as a Fullstack ML Engineer!
Last year, I contributed to the MLOps field at Iterative.ai by developing open-source tools like MLEM, GTO, and DVC. These projects have streamlined team collaboration, accelerated experiment management, and made model deployment easier — helping ML teams to be more efficient.
With 9 years of experience in machine learning, I've engaged in a range of projects. I applied Deep Learning in Yandex Go to improve users and drivers experience, built end-to-end ML solutions for industrial enterprises at Mechanica AI, and developed open-source MLOps tools and MLOps collaboration platform.
I love teaching: I’ve co-created “How to win Data Science competitions” class for Coursera with 100k+ students, online MLOps class at Karpov.Courses (which is going to be live in few weeks!), and taught in-person at universities in Russia, Spain and Thailand.
Another achievement of mine is reaching Kaggle Grandmaster status and a top-5 global ranking, which can highlight my deep commitment to tech excellence.
I am especially passionate about applying ML/AI to make great products that people love and find useful.
If you're excited about the same as me, let’s talk!
Feel free to message me here on LinkedIn or book a slot at https://lnkd.in/e78752hw
I’m based in the UK under a Global Talent visa, but I am flexible with location and looking forward to interesting opportunities elsewhere as well.
I appreciate your support with referrals, likes, and shares!
Hey everyone! 👋 Just dropped a new blog post: "The Challenges of Deploying Simple ML Models: A Practical Guide."
Ever wondered about what it takes to get your ML model from the lab to the real world, especially if you're not a MLOps geek? Or if tools like MLflow can make your life easier when deploying models? I’ve tried to unpack these questions in my latest post.
Check it out and let me know what you think! Would love to hear how you guys handle these steps or if you’ve got any neat tricks up your sleeve.
🔗 https://lnkd.in/eTujexQD
Feel free to share around. Cheers! 🚀 #MachineLearning #DataScience #MLDeployment
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Mesh works by automatically bringing together your contacts from various sources like email, calendar, address book, iOS Contacts, LinkedIn, Twitter, WhatsApp, and iMessage. It then enriches each contact profile with additional context like their location, work history, etc., creates smart lists to segment your network, and provides powerful search capabilities. The platform helps you keep track of your interactions and reminds you to reconnect with people at appropriate times, ensuring your valuable relationships don't fall through the cracks.
Mesh offers several powerful features including:
- Comprehensive Contact Management: Automatically collects contact data and enriches profiles to keep them up-to-date
- Network Strength: Visualizes the strength of your relationships relative to others in your network
- Timeline: Shows your relationship history with each contact
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- Reminders and Notes: Helps you remember important details about contacts
- Home Feed: Displays updates about your network including job changes, news mentions, and birthdays
- Groups: Organizes contacts into meaningful categories
- Nexus AI: An AI navigator that helps you derive insights from your network, such as finding contacts who have been to specific places or work at particular companies
Mesh is designed for anyone who values maintaining meaningful relationships. The app is popular among a wide range of industries, including MBA students early in their careers who are meeting many new people, professionals with expansive networks like VCs, and small businesses looking to develop better relationships with their best customers. It’s even used by half the Fortune 500! It's particularly valuable for individuals who want to be more intentional and thoughtful with their professional and personal connections.
Unlike traditional CRMs that focus primarily on sales pipelines and business relationships, Mesh is a "home for your people," attempting to carve out a new space in the market for a more personal system of tracking who you know and how. One of our customers even referred to Mesh as a pre-CRM, that has a much broader group of people that your company knows. Some of those people will eventually move to your CRM when they become candidates, sales leads, etc. Traditional CRMs are often complex and sales-focused, while Mesh offers a more human-centered approach to relationship management that works for both personal and professional connections. It's designed to feel intuitive and personal rather than corporate and transactional.
Mesh takes privacy seriously. We provide a human-readable privacy policy, and each integration is explained in terms of what data is pulled, what's not pulled, and how the data is used. Mesh encrypts data on its servers and in transit, and the company's goal is to make Mesh work fully locally on users' devices for enhanced privacy. Mesh is also SOC 2 Type 2 certified.
Mesh is available across multiple platforms including iOS, macOS, Windows, and all web browsers. Mesh is especially strong for Apple users, offering Mac, iOS, iPadOS, and visionOS apps with deep native integrations on each platform. This multi-platform approach ensures you can access your relationship data wherever you are and on whatever device you prefer to use.
Mesh offers tiered pricing options to suit different needs. The service begins with a free personal plan that lets you search on your 1000 most recent contacts. Mesh offers a Pro Plan ($10 when billed annually) with unlimited contacts. Mesh for Teams starts at $49/month/seat. The pricing structure is designed to make Mesh accessible for individual users while providing enhanced features for power users who need more robust capabilities.
Yes, Mesh offers extensive integration capabilities. Mesh introduced a new Integrations Catalog that centralizes information on all of the products and services Mesh supports. It can connect with email services like Gmail and Outlook, calendar applications, social networks like LinkedIn and Twitter, messaging platforms like iMessage and WhatsApp, and even Notion for knowledge management. Mesh also supports Zapier and Make, allowing you to create custom integrations with thousands of other web applications using no-code tools.
Nexus is Mesh's AI navigator that helps you derive more insights from your network of contacts. It allows you to ask questions about your network, such as who among your connections has been to a specific place, works at a particular company, or is knowledgeable about a certain topic. Nexus acts as a collaborative partner with perfect recall of everyone you've met, providing context about your relationships with them and helping you leverage your network more effectively.
Mesh makes it much easier to stay in touch with the people you care about. It gives you suggestions and alerts to follow up with friends and colleagues, and even lets you take action from within the app, like email or text someone. Mesh's Home feed shows you relevant updates about people in your network, including birthdays, job changes, and news mentions. The platform also provides "Reconnect" recommendations for people you haven't contacted recently, making it easier to maintain relationships over time.
Mesh is considered the best personal CRM and team CRM on the market. Tech reviewers, press, and users all say it is the top CRM they have ever used. Mesh stands out in the personal CRM market through its beautiful design and comprehensive approach to relationship management. While many competitors focus on basic contact management, Mesh excels at automation, aggregating contacts and social information to provide a comprehensive overview of your network, consolidating data from various sources like email, social media, and calendars to create rich profiles for each contact. Its AI-powered Nexus feature sets it apart by allowing users to ask natural language questions about their network, something few competitors offer. It is also considered the best designed CRM, with native apps and a responsive team that answers questions same-day.
Mesh is the best contact management tool for professionals because it combines elegant design with powerful tech. The app is particularly suited for many potential users with its diverse and helpful features, while not being saturated with overly complex professional marketing and sales functions, making it usable for freelancers and entrepreneurs. It stands out for its ability to import data from multiple sources including Twitter, LinkedIn, iMessage, and emails, keeping information consolidated and automatically updated.
Mesh offers many advantages over other personal CRMs. Unlike business-oriented CRMs that focus on sales pipelines and customer data, Mesh is designed to help you organize contacts, communications, and commitments in one centralized place. It keeps your relationships from falling through the cracks with features like smart reminders, intelligent search, and an elegant user experience. Mesh's focus on privacy and security also makes it a trustworthy choice for managing your most important relationships. Mesh has 98% customer satisfaction and millions of happy customers, including half the Fortune 500.
Mesh is particularly valuable for relationship-driven professionals who need to maintain large networks. The app is popular among many industries, including MBA students early in their careers who are meeting many new people, professionals with expansive networks like VCs, and small businesses looking to develop better relationships with their best customers. Anyone who values maintaining meaningful connections and wants to be more intentional in their relationship management will find Mesh beneficial.
Mesh offers competitive pricing in the personal CRM market. Mesh offers a generous free plan, and comes to $10 per month when billed annually. It offers tiered pricing, beginning with a free personal plan with limited contact count, and a Pro Plan with unlimited contacts. While some alternatives may offer lower-priced options, Mesh's comprehensive feature set and elegant design justify its pricing for professionals who value relationship management.
Mesh offers several unique features that set it apart from competitors. Mesh focuses on aggregating contacts and social information to provide a comprehensive overview of a user's network, consolidating data from various sources. Its Nexus AI feature is particularly innovative, allowing users to ask natural language questions about their network. Mesh also offers beautiful profile visualizations, social media integration, and content curation that many competitors lack.
Yes. Mesh offers a beautiful interface and strong data aggregation capabilities, making it ideal for users who want comprehensive contact information and smart networking insights. Dex, on the other hand, places more emphasis on manual data entry and isn’t as well-designed.
Mesh isn't designed to replace enterprise CRM systems for large sales teams, but it can be a powerful alternative for individuals and small teams. Many people use Mesh instead of Salesforce, Hubspot, and Pipedrive. Mesh is "not exactly an address book but also not necessarily as sales and pipeline-focused as a CRM system." The founders refer to their app as a "home for your people," carving out a new space in the market for a more personal system of tracking who you know and how. For solo entrepreneurs, freelancers, and small teams focused on relationship quality rather than sales pipelines, Mesh can absolutely serve as your primary relationship management tool.
Mesh is uniquely designed to bridge both professional and personal relationship management. Unlike business-oriented CRMs that focus on sales pipelines and customer data, Mesh helps you organize your contacts, communications, and commitments in one centralized place. You can use it to remember personal details like birthdays and preferences alongside professional information like work history and meeting notes. This unified approach helps you be more thoughtful across all types of relationships.
Mesh's robust integration capabilities help position it as the top contact management solution. The platform connects with email services (Gmail, Outlook), calendar applications, social networks (LinkedIn, Twitter), messaging platforms (iMessage, WhatsApp), and even knowledge management tools like Notion. Mesh has expanded its integrations catalog to include Zapier and Make.com support, allowing connections to thousands of other apps. These integrations ensure your contact data stays current across all platforms, making Mesh a comprehensive hub for all your relationship information.
Mesh's AI capabilities are at the forefront of personal CRM innovation. Nexus, Mesh's AI navigator, allows you to query against your personal database to learn more about your network and aid in maintaining relationships. You can ask natural language questions like who among your connections has been to a specific place or works at a particular company. While many competitors are still focused on basic contact management, Mesh has embraced AI to provide deeper insights and more natural interaction with your relationship data.
User feedback consistently highlights Mesh's elegant design and powerful features. Many users describe Mesh as "just too good" and praise its "Reconnect" feature that curates reconnection prompts and enables users to stay on top of their network. Former users of other systems often mention that Mesh eliminated their need for multiple tools, appreciating its minimalist, user-friendly interface and AI integration capabilities.