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Awais Zahid

@awaiszahid

Full Stack Developer at CBSOL building AI-integrated applications; reduced AI inference latency by 40% on AWS and RunPod.

Pakistan

Message

At CBSOL, I develop AI-integrated applications with Next.js, FastAPI, and Python, deployed on AWS. I reduced AI inference latency by 40% using AWS EC2 and RunPod GPU instances.

I also built PXEngine, a multi-agent workflow automation platform on AWS, and developed AI-powered products including ChefBasil and CareerPilot. Across my work, I’ve built full-stack applications, REST APIs, and RAG and multi-agent workflows.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer

Current

CBSOL

Nov 2025 - Present (11 months)

Develop and maintain full-stack, AI-integrated applications using Next.js, FastAPI, and Python deployed on AWS. Build and optimize RESTful APIs with JWT authentication, integrate third-party services, and deploy AI/ML inference workloads on AWS EC2 and RunPod GPU instances, reducing inference latency by 40%.

Next.js fastAPI Python AWS REST APIs JWT MongoDB PostgreSQL GitHub Actions CI CD Agile Scrum Jira RAG Multi Agent Systems Lang Chain

MERN Stack Developer

GulzarSoft

Oct 2024 - Nov 2025 (1 year 1 month)

Built responsive production web applications using React.js, Node.js, Express.js, and MongoDB. Developed RESTful APIs, added real-time features via WebSockets, and reduced data retrieval time by 30% through database optimization.

React NodeJS ExpressJS MongoDB REST APIs WebSockets Socket.IO Docker Nginx Stripe OAuth Agile

Frontend Developer

Gennovative Solutions

Nov 2023 - Oct 2024 (11 months)

Built scalable web applications using React.js for production clients. Developed secure REST APIs with authentication and authorization, integrated third-party services like Pinata (IPFS), and optimized database queries to improve API response times by 35%.

React REST APIs Authentication Authorization Pinata IPFS Database Optimization Deployment