SWE @Berribot | Node.js, Python, Flask, GenAI, Agentic AI | Full-stack & AI | Problem solver

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Sahil Suman  • Peerlist

Developed an AI Image Generation App, created a responsive front-end with React and Material-UI for streamlined image creation and management. Integrated DALL-E API for AI-driven image generation, implemented posting functionality with React hooks. Improved application performance by gathering user feedback, focusing on usability enhancements for a reliable user experience.

GENAI- AI Image Generator

Tech stack : React.js ,Tailwind CSS, Express.js, Node.js, MongoDB, Vercel • Developed StudyNotion, a robust ed-tech platform that empowers users to create, consume, and rate educational content, significantly enhancing the learning experience. • Boosted user satisfaction by 40% through optimized UI/UX with React and Material-UI, enhancing interactivity and accessibility across the platform. • Engineered the backend with Node.js and Express.js, achieving a 40% reduction in load time and enhancing overall performance for a more responsive application. • Integrated MongoDB for scalable data management and designed a comprehensive RESTful API, ensuring efficient data handling, reliable system performance, and seamless front-end to back-end communication.

STUDYNOTION - An Ed-tech Platform

Synapse-Agent-Fabric-Framework is a cutting-edge framework designed for developers to build sophisticated AI chatbots with ease. This production-ready, modular framework supports multi-LLM integration, allowing seamless switching between various language model providers such as Groq and OpenAI. With its advanced ReAct (Reasoning and Acting) agent architecture built on LangGraph, the framework is capable of complex reasoning and tool usage, making it ideal for creating custom AI agents.The framework's core features include live web search capabilities through the Tavily API, providing real-time, up-to-date information access. Its three-tier architecture (UI, Backend, AI Core) ensures a clear separation of concerns, facilitating easy scalability, maintenance, and extensibility. The intuitive user interface, crafted with Streamlit, offers a clean and responsive experience, while the customizable persona feature allows developers to tailor the agent's behavior and expertise through system prompts.Installation is straightforward, requiring Python 3.8+ and pip, with setup instructions provided for creating a virtual environment and configuring necessary API keys. The framework also supports future enhancements such as stateful conversations, Dockerization for simplified deployment, and expanded LLM support.

Synapse-Agent-Fabric-Framework

Toolie AI is an innovative toolbox designed specifically for builders and developers who are looking to leverage the power of artificial intelligence in their projects. This tool provides a comprehensive suite of features that streamline the development process, making it easier to integrate AI capabilities into various applications. Toolie AI stands out by offering a user-friendly interface that simplifies complex AI tasks, allowing developers to focus on creativity and functionality rather than technical hurdles.With Toolie AI, users can access a range of AI-driven tools that enhance productivity and efficiency. Whether you're working on a small project or a large-scale application, this toolbox provides the necessary resources to accelerate development timelines and improve the overall quality of your work. Key features include AI-powered code suggestions, automated testing, and seamless integration with popular development environments.Designed to cater to the needs of modern developers, Toolie AI ensures that you stay ahead of the curve by incorporating the latest advancements in AI technology. This makes it an essential tool for anyone looking to innovate and create cutting-edge applications. Experience the future of development with Toolie AI, where technology meets creativity.

Toolie AI - Toolbox for Builders

Built with React-native, Expo, TypeScript, and NativeWind, this app fetches movies and creates a popularity algorithm using Appwrite. It provides users with a seamless browsing experience, ranking movies based on various engagement metrics. The app leverages modern UI/UX principles for a responsive and visually appealing interface, ensuring real-world scalability and performance.<h3>Features of the Cineseek App</h3>Real-time data: Fetching and displaying real-time movie dataHome Page: Featured and discover moviesSearch Page: Search for your favorite moviesPopularity algorithm: Track user searches to display the most popular movies and many more, including code architecture and reusability.

Cineseek

• Full-stack Next.js application integrating MongoDB for scalable AI prompt sharing, implementing a CRUD system with secure Google authentication via NextAuth.• Engineered a modern glassmorphism UI using TailwindCSS, enhancing user experience with responsive design, clipboard copy functionality and profile-based content organization.• Optimized search functionality by enabling tag-based filtering, improving prompt discoverability, and fostering community engagement through profile exploration and social features.

PROMPTOPIA

Built a platform using Kestra for reporting local issues, engaging in polls, and accessing resources with real-time updates.
Automated issue routing, notifications, and polling analysis to enhance efficiency and transparency.
Developed an engagement dashboard to track metrics like response times, boosting accountability for&nbsp;authorities.

Autocomm - Community Engagement Platform

StudyNotion is a fully functional ed-tech platform that enables users to create, consume, and rate educational content. The platform is built using the MERN stack, which includes ReactJS, NodeJS, MongoDB, and ExpressJS. StudyNotion aims to provide:<ul><li>A seamless and interactive learning experience for students, making education more accessible and engaging.</li><li>A platform for instructors to showcase their expertise and connect with learners across the globe. In the following sections, we will cover the technical details of the platform, including:</li></ul><ol><li>System architecture: The high-level overview of the platform's components and diagrams of the architecture.</li><li>Front-end: The description of the front-end architecture, user interface design, features, and functionalities of the front-end, and frameworks, libraries, and tools used.</li><li>Back-end: The description of the back-end architecture, features and functionalities of the back-end, frameworks, libraries, tools used, and data models and database schema.</li><li>API Design: The description of the API design, list of API endpoints, their functionalities, and sample API requests and responses.</li><li>Deployment: The description of the deployment process, hosting environment and infrastructure, and deployment scripts and configuration.</li><li>Testing: The description of the testing process, types of testing, test frameworks and tools used.</li><li>Future Enhancements: The list of potential future enhancements to the platform, explanation of how these enhancements would improve the platform, estimated timeline and priority for implementing these enhancements.</li></ol>