Haseeb Ali Sajid

Leading a team of developers to build a scalable website builder platform, architecturing the frontend and backend to deliver a seamless user experience.

Designed a robust domain management solution with AWS Route53, incorporating automated DNS configuration that increased deployment reliability by 80%.

Implemented a dynamic component system with API integration, enabling real-time previews and seamless SEO support to enhance flexibility and optimize website performance.

Developed a robust system design library with React, TypeScript, Tailwind CSS, Storybook, and Bit.dev, boosting frontend efficiency by 40% and ensuring consistent design standards.

Built an agency platform for product marketing using Next.js and Directus CMS, delivering scalability and a user-friendly experience, and optimized AWS S3 for 35% improved performance and scalability.

Updated data scraping mechanisms for Instagram and TikTok by leveraging API integrations and automation scripts, boosting the accuracy and efficiency of influencer detail extraction by 25%, and integrated Sentry for error monitoring, reducing issue resolution time by 40%.

Implemented Cypress for end-to-end testing, reducing bug incidents by 40% and significantly enhanc-ing product stability.

Improved error monitoring with Sentry.io, increasing issue resolution efficiency by 35%, and designed a custom analytics tool using GraphQL and AWS S3, boosting data accessibility by 30%.

Optimized database schema with Prisma by refining indexes and normalizing data models, improv-ing performance by 25%. Integrated Jira Issue Collector to streamline issue tracking and enhance reporting workflows by 20%.

Designed and implemented a data pipeline for seamless data transfer between PostgreSQL and Click-House, improving data synchronization efficiency by 30%.

Developed workers to streamline data flow from ClickHouse to Microsoft Power BI, enabling faster analytics report generation and efficient data transformation.

Created a plugin for editing and annotating PDF files using the Canvas API, enhancing document customization capabilities.