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AI Tinkerers - New York City
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Team

SpeakUp

Project Concept

SpeakUp - an AI coach that makes speech improvement easy, efficient, and measurable.

It analyzes your speeches (mock interviews, presentations or average topics) in real time, offering actionable insights on clarity, pacing, and articulation so you can speak confidently.

SpeakUp – Your life-changing AI Speech Coach, like a personal coach, available anytime, anywhere.

Entry

Status: Submitted

Last saved: February 16 at 2:34 PM EST

Team Roster

Message board not available for this team yet.

Brandy Li Team Lead RSVP Approved

Analytics Manager at IPG
Product Manager
Results-driven Product Manager with experience turning vision into impactful products across B2C AI MVP and B2B data product. Skilled in product discovery, roadmap planning, and cross-functional collaboration, with a proven ability to lead teams through the end-to-end product lifecycle. Hands-on expertise in customer journey mapping, UI/UX prototyping, and using no-code tools to deliver functional MVPs. Adept at leveraging data analytics to inform decisions, streamline operations, and achieve measurable outcomes, including increasing efficiency and reducing manual efforts by up to 50%. Proficient in agile methodologies, market research, and go-to-market strategies. Passionate about building user-centric products that solve real-world challenges.
AI Product Development

Vladislav Kuznetsov RSVP Approved

AI Project Tech Lead at NL Eats
Developer
I’m an AI Project Tech Lead with a strong background in cloud architecture and AI and data science. My career started in 2019 as a web developer and data analyst, where I designed experiments, optimized websites, and applied statistical tests like T-tests, Z-tests, and chi-square. Later, I focused on customer churn prediction, data visualization with Tableau, and automation. With three master’s degrees from Russia, South Korea, and the U.S., I specialize in AI-driven applications, AWS infrastructure, and secure, scalable systems. I build AI-powered chatbots, optimize cloud costs with serverless workflows, and ensure security through IAM and VPC configurations. Leading cross-functional teams, I drive innovation by integrating AI with high-performance cloud solutions.
Machine Learning, Deep Learning, AI Application Development, Cloud Infrastructure, Predictive Modeling, Computer Vision, NLP, Data Science, Nitrogen Fertilizer Optimization, Chatbot Development, AWS Infrastructure Management
I am leading a team of three to develop an AI-powered app that optimizes farmers' nitrogen fertilizer use. I design application architecture and manage AWS infrastructure, including VPC setup, IAM roles, and secure access control. I also and enhanced a Rasa-based chatbot for fertilizer and planting recommendations. I configure proxy servers, logging, and monitoring solutions to improve security and system performance while optimizing cloud costs through auto-scaling and serverless workflows.

Alex Lazarev RSVP Approved

CEO at HomeScan
Developer
I'm a passionate full stack developer with a business-minded approach, combining technical expertise with entrepreneurial insight to build scalable, user-centric applications. My technical toolkit includes front-end and back-end development, databases, version control, deployment, and AI and computer vision technologies. I specialize in building maintainable applications that align with business objectives, leveraging frameworks like Django and Ruby on Rails, and have experience with AI-powered solutions and computer vision technologies.
I’m looking to deepen my expertise in AI-driven automation, RAG systems, and ad tech integrations. I want to connect with AI/ML engineers for refining Homescan’s object recognition and my ad automation SaaS. I’m also interested in supply chain optimization for Vita Verde and seek logistics experts and high-end brand marketers. Additionally, I’d love to collaborate with technical co-founders, growth hackers, and investors for scaling my ventures.
1. Homescan – AI home scans for moving quotes. 2. Vita Verde – Luxury farm-to-table produce. 3. Ad SaaS – AI-generated Meta/Google ads. 4. Grocery App – Convert groceries to recipes. 5. AI Assistant – Automate tasks & alerts.

Brandy Li RSVP Denied

Product Manager at IPG
Product Manager
NA
NA
NA

Justin Nathaniel RSVP Approved

Product Designer at Microsoft
Product Designer
Justin Nathaniel is a Product Designer at Microsoft with a passion for creating innovative visual design and intuitive products that promote social impact. Holding a User Experience Design certification from General Assembly, he brings over 7 years of experience in UX and visual design. Justin is particularly driven by emerging technologies and advocating for UX design across various fields. When he's not designing, he enjoys exploring local nurseries and farmers markets, where he indulges his love for collecting house plants. His professional approach focuses on developing user-centered design solutions that inspire creativity and support under-served communities.
Emerging technologies, AI ethics, social good, UX design advocacy, under-served communities, user-centered design, innovative visual design, intuitive product design, digital product development, design systems, social impact design
Currently working on product design initiatives at Microsoft, focusing on developing user-centered design solutions that leverage emerging technologies. Actively creating intuitive digital interfaces using Figma and Adobe XD, with an emphasis on promoting social impact and designing for under-served communities. Specific project details are not provided in the background information.

Vsevolod Oparin RSVP Approved

Independent Researcher at Self-employed
Developer
I worked in various companies, including Meta for 3.5 years as research scientist in network data, and small start-up as an ML Engineer training and tuning models using synthetic data.
Diffusion models, LLM, TTS and SST, NeRF/Gaussian Splatting
Podcast Search. The bot fetches podcast via RSS, decode it with STT and then respond to the questions based on podcast text.