Amit Kharod

About Amit Kharod

I\'m a Software Engineer with 2+ years of hands-on experience specializing in building high-performance, scalable web applications. My core focus is on full stack development, leveraging React.js and TypeScript for engaging frontends, and Node.js and Python for robust backend systems. I am passionate about solving complex technical challenges and have a proven ability to own projects end-to-end, from initial concept to deployment and optimization in a fast-paced, Agile environment.My experience at Rancholabs, IIT Delhi, includes driving tangible results across key technical domains- Scalable Architecture & DevOps: Designed and implemented a complete CI/CD pipeline using GitHub Actions and AWS ECS Fargate, significantly enabling rapid and reliable feature iteration. Extensive experience with AWS services including S3, Lambda, RDS, and CloudFront- Performance Optimization: Built a high-performance video optimization pipeline (HLS conversion), reducing video load times by up to 60%. Created a robust image optimization flow using S3 triggers and AWS Lambda with Sharp.js, serving images via CloudFront- Key Technical Proficiencies: Next.js, React, TypeScript, Node.js, Python, PostgreSQL, MongoDB, Docker, CI/CD, and AWS.I am continually focused on deepening my expertise in System Design and Data Structures and Algorithms to drive technical excellence and build scalable, secure, and extensible software. I enjoy collaborating with cross-functional teams to tackle strategic initiatives and deliver innovative products that create tangible customer value.

Experience

1. Software Engineer

   Rancho Labs

   Oct 2023 — Present · New Delhi, IN

   Developed an internal Retrieval-Augmented Generation (RAG) system using Python, Langchain andGPT-4o to query a large corpus of unstructured company documents. Which reduced informationretrieval time from hours to seconds.• Designed a multi-tenant architecture using AWS EC2 and Application Load Balancers to hostindependent LMS instances for 30+ individual schools, enabling independent deployment, customdomain mapping, and isolated scaling. Currently serving monthly active users across allinstances.• Engineered a centralized Super Admin Panel using React.js and Node.js to manage 30+ school LMSinstances, integrating PostHog for user behavior analytics and Apache ECharts for real-time datavisualization of student performance metrics.• Implemented a centralized infrastructure monitoring system by forking and deploying the open-sourceUptime Kuma; customized the core notification engine to trigger real-time Telegram alerts, reducingthe tech team’s Mean Time to Detect (MTTD) for microservice outages.• Reduced AWS infrastructure costs by 15-20% by building an automated resource scheduler usingEventBridge and Lambda to hibernate services during off-peak hours.• Built a serverless image processing pipeline using Sharp.js and AWS Lambda to convert uploads toWebP, served via CloudFront for optimized content delivery.• Architected a video transcoding service using FFmpeg on ECS Fargate to convert raw videos into HLS(HTTP Live Streaming) format for seamless playback.

Education

• Maharshi Dayanand University

  Master of Computer Applications - MCA

  2021 — 2023

• Maharshi Dayanand University

  Bachelor's degree

  2018 — 2021