Sanya Kaushik

➔Building a university-wide full-stack platform to showcase high-value research equipment and projects across all CSUF departments.. ➔Developing scalable, component-driven UIs with React to enable fast discovery and usage by faculty and students.. ➔Implementing robust backend APIs using Node.js and REST architecture to support cross-department research workflows. ➔Strengthening CSUF’s visibility and competitiveness in U.S. research competitions through standardized, web-based research presentation

I help teams and product engineers build high-performance, scalable web platforms by combining clean architecture, automation, and cloud-native development practices. ➔ Launched a drag-and-drop Next.js builder with reusable UI blocks, cutting app launch time by 40% and accelerating go-to-market speed. ➔ Built a marketing automation system handling 10K+ daily messages, improving reliability and engagement through server-side APIs and smart scheduling. ➔ Migrated core architecture from CRA/Webpack to Vite, reducing build latency by 45% and boosting developer productivity. ➔ Partnered with cross-functional teams to integrate APIs, validate builds, and deploy production fixes—enhancing product stability and scalability. By blending frontend innovation with backend efficiency, I turned complex product requirements into robust, maintainable systems that deliver measurable business impact.

I help data and operations teams scale efficiently by building automated, high-performance data pipelines that eliminate manual processes and ensure reliability across environments. ➔ Engineered scalable pipelines using Python, SQL, Selenium, and Shell, improving data accuracy, uptime, and end-to-end processing efficiency. ➔ Developed parallelized web-scraping workflows that processed 20K+ records/week, saving 20+ hours of manual effort weekly. ➔ Implemented validation scripts in Python and SQL, increasing data integrity and consistency across multiple workflows. ➔ Optimized cloud performance with AWS EC2 scaling and automated Shell scripts, improving runtime efficiency by 30%. ➔ Automated ingestion and monitoring via cron jobs and Git CI, maintaining 99% system uptime and stability. By combining data engineering, automation, and cloud orchestration, I turned complex, error-prone workflows into scalable, self-healing systems that powered smarter business decisions.

Taught Python programming to beginner and intermediate students through hands-on projects and real-world problem-solving. Delivered interactive lessons on core concepts, data structures, and automation. Guided students in building mini-projects, improving coding confidence and logical thinking. Applied project-based learning and effective time management to ensure measurable skill growth.