Ayush Bhargava Kolkata, West Bengal 📞 +91 9516867159 | 📧 bhargava.ayush71@gmail.com 🔗 LinkedIn | 🔗 GitHub
Full Stack Developer with 2+ years of experience building scalable backend systems, AI-powered applications, and cloud-native architectures using Node.js, React, AWS, and Docker.
Specialized in performance optimization, web scraping, and LLM-based systems. Built an AI-driven website audit platform analyzing Core Web Vitals (LCP, CLS, TBT) across multiple pages with scalable queue-based processing.
Languages: JavaScript, Python, C/C++, SQL Frontend: React.js, Next.js, Tailwind CSS Backend: Node.js, Express.js, FastAPI Cloud & DevOps: AWS (EC2, Lambda, API Gateway, Bedrock, SageMaker), Docker, CI/CD Databases: MongoDB, PostgreSQL, Redis, ChromaDB Tools & Systems: Playwright, PageSpeed API, BullMQ, GitHub Actions Core Concepts: System Design, Distributed Systems, Machine Learning, DBMS, Algorithms
Panini8 Softwares | Jan 2025 – Present
• Architected scalable backend systems using Node.js, Express, and MongoDB, improving system reliability and performance • Designed queue-based asynchronous processing pipelines to handle large-scale analysis workloads efficiently • Built cloud-native services leveraging AWS (Lambda, API Gateway) for high availability and scalability
Cheenta Academy | June 2024 – Jan 2025
• Developed AI-powered chatbot systems using AWS Bedrock and serverless Lambda architecture • Designed and integrated backend APIs to enable seamless LLM-based conversational workflows • Improved response efficiency and scalability of AI systems in production environments
Fiverr | Oct 2022 – June 2024
• Delivered 45+ full-stack and DevOps projects across MERN, AWS, and blockchain domains • Built and deployed scalable web applications for global clients with CI/CD pipelines • Optimized infrastructure and deployments, improving system performance and uptime
FastAPI, Docker, AWS Bedrock, PageSpeed API, PostgreSQL, Queue Workers
• Built an AI-powered platform analyzing Core Web Vitals (LCP, CLS, TBT) across multiple pages • Integrated Google PageSpeed API with queue-based processing to handle asynchronous audits at scale • Leveraged LLMs (AWS Bedrock) to generate actionable performance and SEO optimization insights • Designed system capable of processing 100+ pages per website with efficient task distribution
React, Node.js, MongoDB, AWS
• Developed backend services and deployment pipelines for a production edtech platform • Built recommendation engine to personalize learning paths based on user behavior • Improved engagement and adaptive learning efficiency through intelligent content delivery
• Solved 450+ DSA problems, strengthening problem-solving and algorithmic thinking • Delivered 45+ freelance projects across MERN, AWS, and blockchain • AIR 1939 in GATE DA 2026 (Score: 534)
Jabalpur Engineering College B.Tech in Electronics & Telecommunication Engineering (2020 – 2024) CGPA: 7.10/10