Divyesh Radadiya

Successfully launched and grew the product to active users, delivering consistent, high-quality SERP data for automation and analytics tools. Built a high-performance web scraping engine that extracts and returns structured search results data from 4 major search engines. Designed and developed a robust Node.js backend, optimized to handle 1,000+ concurrent requests with 99.7% uptime, deployed on Google Cloud. Created Python and TypeScript SDKs to make API integration effortless for both developers and no-code users. Implemented intelligent request routing, rate-limiting, and proxy management systems to ensure reliability and scalability.

Built an Own AI product. This platform enables users to build and deploy AI Agents with ease, supporting custom model selection for their capabilities. Integrated 21+ Model providers and 200+ AI models, including Chat, Image, Video, Music, Voice, and AI agents that help individuals and businesses. Developed a flexible Prompt builder to train AI models according to targeted requirements and user objectives, and a live preview mode to test any LLM model. Integrated 25+ Saas Apps that can be accessible for AI Agentic systems to perform actions like create a new Meeting on the calendar, write blogs, cancel a Stripe subscription, add customer data to HubSpot, etc. It features robust Role-based management, allowing assignment of agents to specific users or teams for collaboration and accountability. Document integration enables teams to upload, organize, and intelligently query business documents, ensuring accurate and context-aware responses. Built an analytics dashboard that provides insights into agent performance, token usage, and processing speed to support continuous optimization. Users have full control over embeddings and metadata, and can add frequently asked questions and business documents to create custom metadata that helps businesses save 80% of the time resolving customers' queries. Built a customization panel that allows users to theme their Chatbot or Agents based on specific needs and embed it seamlessly across flexible screen sizes. Providing 20+ in-built AI apps so users can start their AI journey without building them from scratch or updating them according to their needs. Built a Chat Playground for deep research, general search, data analysis, coding, and problem solving, summarizing websites and documents. Adding more and more features and gonna launch it soon too.

Built an entire LMS system for students and mentors from scratch to cut third-party platform Costs. Mentors can create courses, lessons, and see preview mode, track, Edit, and collaborate. Integrated RBCA(Role-based access control) features for Owner, Admin, and Student, integrated with the Student Dashboard for tracking course and lesson progress. Integrated Markdown Components for Lesson creation made it easy to edit Lessons and preview. Working with a small engineering team (5 engineers) to rapidly grow the platform, achieving high growth annually by building unique and innovative features. Work closely with the product manager and UX designer to translate user feedback into impactful new features. Maintaining 4 GitHub repositories, including LMS and dashboard app (including FE and BE). Redesigned the frontend code 2 times to improve usability and accessibility, making it easier for students to navigate and understand the system. Working with Agile methodology, attending Daily Stand-ups, discussing new product ideas and Features.