Instalily empowers B2B teams to quickly adopt Al. Our customers use the Instalily Multi-Agent Platform to automate complex workflows, streamline operations, and enhance sales and service decision-making. By deploying autonomous Al agents, they achieve faster response times, increased productivity, and significant cost savings across various B2B functions. Situated in the heart of New York City, the Instalily team is composed of Al natives with staff expertise in artificial intelligence, machine learning, engineering, software development, product and design and is deeply dedicated to pushing the boundaries of Al to foster business growth and innovation.

Learn more about our work at the frontier of Al by visiting http://www.instalily.ai

• Implemented scalable SwiftUI components from Figma designs, integrating Gen AI and ML pipelines to process clustered news and stock data from NYSE and S&P 100, achieving real-time, visually appealing, and user-friendly stock information delivery.

• Designed a push notification service using Firebase Cloud Messaging and topic messaging to inform users of significant stock price fluctuations every 30 minutes, accompanied by Gen AI and ML summarized news events, resulting in five- minute average reads for quick updates.

• Integrated Firebase Authentication with SSO for user authentication and management, enabling users to personalize profiles with photos, customize notification settings, and edit recurring subscriptions from their devices, and developers to administrate users’ subscriptions from Firestore,

• Developed a GPT-prompted news quantification pipeline to extract key innovation and stability events from the past months, analyzing their sentiment influence on individual stocks and providing users with comprehensive company performance profiles along with SEC filings analysis.

• Led cross-functional discussions across backend, frontend, and UI teams to revise system designs based on user feedback, significantly improving app flow and user experience.

• Led a cross-functional team of 5 developers over a 3-month sprint to successfully deliver an AI-driven MVP, employing Agile methodologies (GitHub issues, Jira) and ensuring on-time, within-scope results for a mentorship and self-study platform.

• Architected and optimized backend pipelines (Django ORM, AWS RDS, Amplify, Cognito) to reduce unnecessary API calls, implementing batch requests and achieving a 30% overhead reduction, thereby lowering operational costs and enhancing scalability.

• Implemented advanced AI prompt engineering (Gemini, Transformers, scikit-learn) to refine chatbot interactions, enabling natural language input and improving user engagement with personalized study plans, mentor matching, and scheduling features.

• Designed a comprehensive UI/UX framework (React, Vite, Tailwind CSS), including a cohesive design system and branding elements, while conducting code reviews to maintain a clean, scalable, and maintainable codebase for long-term product growth.