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Yash Ambani

Available to hire

Hi, I'm Yash Ambani, an experienced full stack developer based in Toronto, Canada.

About

Hi, I’m Yash Ambani, an experienced full stack developer based in Toronto, Canada. I have a passion for building scalable and efficient web applications using modern technologies like React, FastAPI, and cloud platforms such as Google Cloud. I love tackling complex problems and improving workflow efficiencies through smart software solutions.

I have hands-on experience working with SaaS products, multi-tenant architectures, and integrating AI-based forecasting tools. I’m always eager to learn new skills and collaborate with teams to deliver products that make a difference.

  • 3 years' experience
  • Joined July 2025

Industry experience

  • Software & Internet
  • Retail
  • Financial Services

Work experience

Full Stack Developer · Digipple Pvt. LtdApr 2025 – Present · 1 yr 8 mos

Led end-to-end development of a responsive planning dashboard using React, Tailwind CSS, and Chart.js, improving reporting efficiency by over 35% across internal teams. Designed and deployed scalable backend services with FastAPI (Python) and PostgreSQL, enabling real-time data sync with 99.8% API availability across multi-tenant architecture. Integrated external data pipelines using Google Sheets API and Shopify, reducing manual data handling efforts by 40% while ensuring schema consistency. Set up cloud-native infrastructure with GCP Cloud Run, Cloud Functions, and Firebase Auth, supporting secure access and event-driven operations for dynamic user workflows.

Backend Developer · Digipple Pvt. Ltd.Jul 2023 – Jul 2025 · 2 yrs 1 mo

Built and delivered a B2B SaaS MVP platform with Node.js, Firebase, and PostgreSQL, onboarding over 200+ SME users within the first 90 days of beta launch. Designed collaborative admin interfaces for user management, feedback collection, and usage tracking, which reduced support escalations by 50%. Integrated AI-based schema mapping logic using OpenAI APIs, enabling automated forecasting and planning for small food business partners. Maintained clean, modular codebase with reusable components, improving development velocity by 30% and reducing bugs in production by 45%. Participated in sprint planning, demos, and documentation initiatives, improving cross-functional visibility and product delivery alignment.

Education

Master of Applied Computing · University of Windsor2023 – 2024
Bachelor’s in Information Technology · LDRP Institute of Technology and Research2019 – 2023

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