Problem Solver

Shivansh Agrawal  • Peerlist

Master Your SDE Interviews with ScaleMockScaleMock is the ultimate platform for software development engineers (SDE) preparing for interviews with top tech companies like FAANG, Google, Amazon, Microsoft, and Meta. This innovative platform leverages AI-powered mock interviews to help you master System Design, Data Structures and Algorithms (DSA), Low-Level Design (LLD), and Frontend coding. With over 100 curated problems, ScaleMock provides a comprehensive preparation experience that enhances your problem-solving skills and boosts your confidence.Key Features:<ul><li>AI-Powered Mock Interviews: Simulate real interview scenarios with AI-driven feedback to improve your performance.</li><li>Comprehensive Coverage: Tackle a wide range of topics including system design, DSA, LLD, and frontend coding.</li><li>Curated Problems: Access over 100 problems specifically designed to prepare you for interviews at top tech companies.</li><li>Expert Guidance: Benefit from insights and strategies tailored to crack interviews at leading firms.</li></ul>ScaleMock is designed to be your go-to resource for interview preparation, offering a blend of technical challenges and AI-driven insights to ensure you are ready to succeed in your next SDE interview.

ScaleMock-Complete SDE Interview Prep

ScaleMock is bridging the gap between academic theory and industry hiring standards. We are an AI-native assessment platform designed to help software engineers master their placement journeys through realistic, high-pressure simulations. Traditional mock interviews are expensive, hard to schedule, and often lack objective feedback. ScaleMock solves this by providing an always-available AI Interviewer that conducts real-time Voice and Coding rounds just like a human senior engineer. Our Platform Includes: 🤖 AI Voice Interviewer: A real-time conversational agent that assesses communication and logic. 🏗️ System Design (HLD/LLD): Specialized canvas tools to practice architectural reasoning. 🎨 Frontend Machine Coding: Realistic React/JS challenges for frontend roles. We are on a mission to democratize access to high-quality interview preparation, ensuring every student has a fair shot at their dream job. Website: <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="https://scalemock.com">https://scalemock.com</a>

ScaleMock

Built a Chrome extension for LeetCode that adds a “Remind Me” button to problem pages, enabling spaced repetition with automated email reminders after 3, 6, 12, and 24 days. Developed a full-stack system with a Node.js/Express backend (deployed on Railway) using PostgreSQL, Gmail SMTP (via Nodemailer) for email delivery, and cron-based scheduling. Implemented features like progress tracking, secure API with rate limiting, and a responsive UI seamlessly integrated into LeetCode's interface.

LeetCode Reminder

-Developed a stock price prediction using stacked long-short-term memory(LSTM) artificial neural network -Trained the agent for dynamic stock price calculation and used streamlit (open-source python library) to create a web app

Stock Price Prediction And Forecasting Using 

Developed UrbanBook, a full-stack online tutoring and class booking platform with real-time WebSocket updates, OTPless login, secure JWT authentication, and cross-platform support (web and mobile). Implemented key features like conflict-free scheduling, student-teacher booking, class calendar visualization, Razorpay payment integration, and 100ms integration for live video classes. Built with React (web), React Native (mobile), and Django Channels (backend) using PostgreSQL, Redis, and Django REST Framework; deployed with WhiteNoise and optimized for responsive, timezone-aware user experiences.

UrbanBook

Built a Youtube clone using components such as Header,Sidebar and Recommended Videos and the technologies used are Reactjs Node and Material Ui Api