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Nandan Thakur
PhD Student at University of Waterloo - NLP, IR - Ex-UKP Lab, EMBL - BITS Goa'18
Professional Background
Nandan Thakur is a dedicated and aspiring researcher currently embarking on an exciting academic journey as an incoming PhD student in Computer Science at the prestigious University of Waterloo. Supervised by the renowned Prof. Jimmy Lin, Nandan is passionate about the fields of Information Retrieval (IR) and Natural Language Processing (NLP). His present research focuses on enhancing the efficiency and generalization capabilities of neural re-ranking and robust dense retrieval models.
With a long-term ambition to develop low-resource and efficient neural techniques, Nandan's work holds the potential to impact a wide audience, bridging the gap between academic research and practical industry applications. He diligently analyzes popular evaluation techniques in the domain, aiming to optimize the robustness of retrieval models. In line with his commitment to accessibility within the tech community, he ensures that his models come with easy-to-implement code, allowing individuals with minimal prior experience to deploy sophisticated techniques effectively.
Nandan has also made significant contributions to the open-source community. He recently developed an open-source Information Retrieval benchmark known as BEIR, which has gained considerable traction, evidenced by its 200 likes and growing popularity on GitHub. His efforts in advancing research tools and benchmarks exemplify his commitment to fostering collaborative and innovative practices in the field of NLP.
Education and Achievements
Nandan's academic journey commenced with a Bachelor of Engineering in Electronics and Instrumentation Engineering, where he achieved an impressive CGPA of 8.31 at the Birla Institute of Technology and Science (BITS) in Pilani. This foundational education provided him with a strong technical and analytical base that he continues to build upon in his postgraduate studies.
At the University of Waterloo, Nandan is now pursuing a Doctor of Philosophy in Computer Science. His interests in NLP and IR drive his research orientation, where he strives to push the boundaries of what is possible in these rapidly evolving fields. His work on neural models and retrieval efficiency signifies a forward-thinking approach that blends theoretical insights with practical applications.
Work Experience
Nandan's professional experience is rich and varied, having held multiple positions in esteemed organizations that allowed him to hone his skills and expand his knowledge base.
- NLP Graduate Student at University of Waterloo: As he steps into his role at a leading Canadian institution, Nandan will engage in cutting-edge research that contributes to the broader field of NLP and IR.
- NLP Research Assistant at Technische Universität Darmstadt: His role here enabled him to deep dive into NLP research, contributing valuable insights and helping shape ongoing projects.
- Data Scientist at KNOLSKAPE: Working as a data scientist, Nandan utilized his analytical skills to tackle real-world challenges by leveraging data to inform decision-making processes.
- Research Trainee at EMBL: This opportunity allowed him to gain valuable experience in an esteemed laboratory setting, further enhancing his research skills in scientific environments.
- Data Science Intern at Belong.co: Nandan's internship involved applying data science methodologies, positioning him to make impactful contributions to the organization’s objectives.
- Data Analyst Intern at numberz: During his time at numberz, he analyzed data to drive insights that supported strategic initiatives.
- Research Intern at Cellular Operators Association of India (COAI): This role gave Nandan exposure to to critical issues within the telecommunications sector, allowing him to contribute to significant projects while honing his research skills.
Notable Achievements
Nandan's career is marked by a series of notable achievements that highlight his commitment to research, innovation, and community engagement. His development of the BEIR benchmark underscores his ability to create practical tools that assist fellow researchers and practitioners in the field. This project exemplifies his knack for recognizing challenges in Information Retrieval and addressing them with innovative solutions.
Additionally, his diverse educational background combined with hands-on experience across various research and corporate environments has equipped him with a comprehensive understanding of both theoretical and practical aspects of computer science and data analysis.
Overall, Nandan Thakur is poised to make significant contributions to the fields of Information Retrieval and Natural Language Processing. As he advances in his academic and professional journey, his passion for research and collaboration continues to drive his efforts to foster inclusivity and accessibility within the tech community. Whether through dedicated research, open-source contributions, or insightful discussions, Nandan is committed to pushing the boundaries of what is possible in technology and academia.
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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
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- Reminders and Notes: Helps you remember important details about contacts
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- 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.
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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.
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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.
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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.