Vinisha Yadav
@vinishayadav
AI-driven Full Stack Developer specializing in React.js, Next.js and scalable, high-performance web applications.
What I'm looking for
I am an AI-driven Full Stack Developer with over 2 years of experience building high-performance, scalable web applications using React.js and Next.js. I focus on integrating advanced AI technologies to automate workflows and improve product outcomes.
I've built 6+ full-stack applications and 2+ AI-powered applications (TestMind, SoulSync, Text Enhancer) using LangChain and LLMs, delivering measurable improvements in performance and stability. I emphasize reusable components, cloud-native deployments, and test automation.
At Deloitte India I improved enterprise React performance by 30%, streamlined the UI codebase by 25%, and increased debugging and profiling efficiency by 40–50%. I also delivered module federation and bundle-size reductions, and achieved 80%+ automated testing coverage to reduce regression cycles.
I enjoy solving performance and reliability challenges, designing accessible, type-safe frontends, and building AI-powered features. I seek to contribute pragmatic engineering, automation, and AI integration to teams building production-grade web platforms.
Experience
Work history, roles, and key accomplishments
Software Engineer
SoulSync
Jul 2025 - Oct 2025 (3 months)
Built an AI-enabled meditation platform increasing dashboard responsiveness by 25% and raised payment gateway success rate by 18% via multi-provider integrations while reducing deployment cycle by 50% through automated CI/CD.
Frontend Engineer
Deloitte India
Mar 2024 - Apr 2025 (1 year 1 month)
Improved enterprise React.js performance by 30% via memoization, lazy loading and code splitting; streamlined UI codebase by 25% with reusable components and centralized utilities and achieved 80%+ automated test coverage reducing regression cycles by 40%.
Associate Software Engineer
Hornblower Group
May 2023 - Sep 2023 (4 months)
Boosted booking-flow responsiveness raising checkout completion by 15–20% and refined REST/GraphQL APIs to decrease latency by 35%, delivering faster search via Algolia tuning and AWS Lambda integration.
Software Engineer
Panicle Tech
Sep 2022 - Apr 2023 (7 months)
Designed and built an AI-driven QA automation platform reducing Docker image size by 75% and accelerating deployment by 60%; added AI feedback loop to refine test suites and improve automation reliability.
Education
Degrees, certifications, and relevant coursework
Gautam Buddha University
Master of Science, Computer Science
2020 - 2022
Master of Science completed at Gautam Buddha University from 08/2020 to 06/2022 with coursework and projects in web and AI-related development.
University of Delhi
Bachelor of Science, Computer Science
2017 - 2020
Bachelor of Science completed at the University of Delhi from 08/2017 to 06/2020 with projects focused on web development and frontend engineering.
Availability
Location
Authorized to work in
Portfolio
testmind-production.up.railway.appJob categories
Skills
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