Yasson Haddish
Full-Stack TypeScript Developer | Expertise in Next.js React, Node.js, AWS, MySQL, MongoDB, FastAPIi and Express | Open to Full-Time, Contract Roles | Citizen | Relocation Ready
- Role
- Software Engineer at Genentech
- Location
- San Francisco, CA, US
- LinkedIn followers
- 500 followers
About Yasson Haddish
Innovative and detail-oriented Full Stack Engineer with seven years of experience in…
Experience
Software Engineer
May 2025 — Present · San Francisco, CA, US
Led the design and development of a full-scale IT Management System from the ground up, managing employees, clients, and hardware, improving operational efficiency by 40%- Built the hardware management system using Next.js, React, FastAPI, Python, TypeScript, and MongoDB, ensuring high scalability and 99% system uptime- Reduced day-to-day device management tasks by 45% through automated workflows and intelligent inventory tracking- Leveraged AI/NLP technologies to enhance user interaction, enabling clients and employees to process requests more efficiently, increasing workflow efficiency by 30%- Created a prompt-based system for device requests integrated with MongoDB, improving inventory accuracy and response reliability by 60%- Automated server-side workflows for reminders, milestone notifications, and critical task data, improving task completion rates by 35%- Developed executive dashboards displaying operational metrics and inventory status, enabling leadership to make decisions 50% faster- Mentored junior engineers, improving code quality and reducing bugs by 25%- Implemented role-based access control (RBAC) and secure authentication across the IT Management System, improving data security and reducing unauthorized access incidents by 50%- Designed and deployed automated reporting pipelines to generate weekly and monthly IT analytics for hardware usage, employee productivity, and client requests, improving decision-making efficiency for leadership by 40%- Integrated Redis caching and database indexing strategies into backend services, reducing API response times by 35% and handling 2x more concurrent requests without performance degradation.
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