mohammed faizan

• Led the overhaul of core systems, reducing server costs by 30 percent and increasing system performance by 25 percent, by optimizing infrastructure and eliminating redundant servers.
• Spearheaded the development of Iris, an AI-driven chat-based hiring feature on the frontend.
• Successfully resolved critical issues, maintained robust code standards, and consistently met project deadlines.
• Proficient in MongoDB, Node.js, React, Next.js, AWS, Google Cloud Services and OpenAI technologies.

• Contributed to the development of Qureos ed-tech product, focusing on MongoDB, Node.js, React, and Next.js, with a mi gration to Azure serverless architecture.

• Developed multiple proof-of-concepts for utility software, in cluding integrating an Applicant Tracking System to streamline hiring processes.
• Collaborated on designing and implementing a Bank OCR so lution to digitize transaction data.