Kushal Yadav

Background

About Kushal Yadav

Dedicated Senior Software Engineer with 4.5+ years of experience across web development, AI-driven applications, communication systems, and full-stack development. I bring a strong foundation in frontend/backend development (Angular, React, NodeJS), cloud deployment (Azure, GCP), CI/CD pipelines (CircleCI, Gitflow), and experience integrating machine learning models into production systems. Adept at building scalable systems on both web and embedded platforms, with a focus on performance, reliability, and user-centric design. Areas of expertise include- Frontend Development (Angular, React), SDK management, RESTful API integration - Cloud infrastructure management on Azure and GCP - CI/CD implementation via CircleCI and Git strategies - Dockerization and micro-frontend architecture - Build and release pipelines on Apache/Linux servers - Machine Learning integrations with Python (OpenCV, PyTorch, ONNX, U2Net)- Embedded system deployment on Jetson/Linux devices - System administration tools, Linux scripting, and WebSocket-based communication Key Highlights - Led full-stack development of a virtual try-on AI platform for an apparel company using React (frontend), Python (backend), and GCP. Implemented user authentication via Firebase, handled video generation from facial image input using computer vision models like MediaPipe and U2Net, and managed Docker-based deployment pipelines on GCP with Firestore and image database integrations- Developed a Linux-based real-time object detection library for manufacturing anomaly detection using PaDiM and Detectron2. Preprocessed visual input using OpenCV and deployed the optimized models on Jetson hardware via ONNX. Built robust logging and error handling for production readiness in industrial environments- Played a key role in Rakuten Link Desktop, a communication app with 30k+ users. Contributed to UI/UX development using Angular within the ElectronJS framework, integrated third-party SDKs, and led implementation of core API-based features for both enterprise and consumer versions- Managed build and release operations for Rakuten Link, including Apache server deployments, Git-based workflows, and CI/CD pipelines on Azure and CircleCI. Ensured release reliability across both Linux and Windows environments- Strong knowledge of system-level operations on Linux, including shell scripting, performance tuning, and command-line tooling. Experience in integrating image processing algorithms (OpenCV.js) and working with WebSocket-based architectures for real-time communication.