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Ankit S.
LLM Arch Assoc Director@Accenture | Ph.D. Candidate at CMU LTI | Deep Learning | Machine Learning | AI | Computer Science | Past: Research Intern@Bosch, Google, MERL. DL Scientist@ReviveMed, Verification Engineer@ARM
Professional Background
Ankit S. is an ambitious and innovative professional in the fields of Artificial Intelligence (AI), Augmented Reality (AR), Virtual Reality (VR), and Language Learning Models (LLM). His passion for developing cutting-edge solutions has positioned him as a thought leader in Generative AI and AR/VR applications. With a career that spans numerous prestigious organizations, including notable tech giants such as Google and Bosch, Ankit has proven himself to be an invaluable asset across the tech industry.
In his previous role as LLM Associate Director at Accenture, Ankit contributed significantly to the development of AI-driven strategies and implementations, further honing his expertise in state-of-the-art technologies. His robust professional experience is complemented by multiple research internships at leading firms like Mitsubishi Electric Research Laboratories and Bosch USA, where he developed groundbreaking solutions in machine learning and AI.
Ankit's time at Carnegie Mellon University, where he served not only as a Doctoral candidate but also as a Graduate Research Assistant and Teaching Assistant, has endowed him with deep academic knowledge, particularly in the area of language technologies.
Education and Achievements
Ankit's educational journey is both impressive and extensive. He holds a Doctor of Philosophy (PhD) in Language Technologies and a Master of Science (MS) in Computer Science, both from Carnegie Mellon University — a globally recognized leader in technology education. His undergraduate studies culminated in a Bachelor of Technology (BTech) in Electrical, Electronics, and Communications Engineering from the National Institute of Technology Karnataka, one of India's premier engineering institutions.
In pursuit of continuous learning and professional growth, Ankit has also completed several courses through Udacity, including an introduction to self-driving cars, AI programming with Python, and Natural Language Processing. These courses have deepened his understanding of AI technologies and enhanced his capacity to innovate in his field.
Among Ankit's many accolades is the prestigious Gandhian Young Technology Innovation Award, awarded for his project titled "Never Ending Learning of Sound." This accolade is a national recognition celebrating outstanding contributions to technology innovation and reflects Ankit's dedication to leveraging technology for social good. Additionally, he is a multiple Bravo award recipient for his exceptional performance as a Verification Engineer at ARM, where he led the development of a universal test case suite that is utilized across various teams globally.
Core Skills and Areas of Expertise
Ankit possesses a mastery of numerous technical proficiencies essential for success in AI and related fields. Key skills include:
- Proficient programming in Python (having completed over 1600 LeetCode challenges), C, and C++
- Advanced understanding of machine learning, deep learning frameworks, and computer science principles
- Expertise in Natural Language Processing (NLP), vision systems, audio understanding, and sound event detection & classification
His areas of expertise reflect his commitment to ongoing professional development in emerging technologies. Ankit has cultivated knowledge in multimodal understanding, unsupervised and supervised learning methodologies, and advanced classification systems such as weakly and webly supervised learning techniques. His efforts in sound event detection and classification showcase his capabilities in innovating solutions with high accuracy, crucial for applications in various sectors, including safety and security.
Resilience and Drive
Ankit embodies resilience and drive in his career path, often drawing motivation from Winston Churchill's famous remark: "Success is going from failure to failure without losing your enthusiasm." This mindset has empowered him to tackle challenges and set benchmarks for excellence in technology development. Ankit’s resilience is evident in his proactive approach to professional growth, consistently seeking new learning opportunities and embracing collaborative endeavors.
Notable Projects and Contributions
Throughout his career, Ankit has made strides in addressing critical societal challenges through technology. One of his most noteworthy projects involved developing a cutting-edge AI framework for gun-type detection through acoustic analysis of gunshots. This pioneering work in leveraging AI to combat gun violence has achieved over 98% accuracy in gunshot detection and significantly contributes to public safety initiatives.
Additionally, Ankit has spearheaded advancements in multi-label classification systems for sound events, utilizing advanced supervised learning techniques. His contributions to audio understanding not only reflect technical prowess but also a commitment to enhancing the state of research in these domains.
Commitment t
Highlights
Our paper: Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks - https://lnkd.in/eAdcWvfG made it to ICLR 2024 as a spotlight paper. Authored with Hao Chen, Jindong Wang, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj.
Key insights:
- Your foundation models are not clean since the (black-box) pre-training data are noisy! We propose a new research topic: Noisy Model Learning!
- Influence: The label noise in pre-training data has both benevolent and malignant influence on downstream tasks.
- Analysis: The label noise in pre-training shapes the feature space significantly of the pre-trained model.
- Mitigation: We design a simple black-box fine-tuning algorithm to reshape the pre-trained feature space, reducing the influence of noisy pre-training data and boost the performance of downstream tasks.
- Label noise in pre-training data can have varying effects on model generalization, improving in-domain transfer performance but consistently deteriorating out-of-domain performance.
- The presence of label noise in pre-training shapes the feature space differently, impacting the model's ability to generalize.
- The NMTune method is introduced as a lightweight black-box tuning approach to mitigate the adverse effects of label noise and enhance model generalization on in- and out-of-domain tasks.
- The paper introduces a new research direction termed Noisy Model Learning (NML), which is particularly significant in the era of large foundation models where downstream users often have only access to the model weights or APIs
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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.