Khalid Sani

Full-stack software engineer (MERN, TypeScript, Next.js) with a First Class Honours degree in Mechatronics Engineering. Ranked in the top 10% of freelance developers on Upwork worldwide, delivering production-grade web applications for global clients across healthtech, education, and e-commerce. Experienced integrating LLM-powered features into full-stack products end to end — React/Next.js front-ends, Node.js APIs, and the backend infrastructure that runs them in production.

Top-Rated Freelance Full Stack Developer (MERN) at Upwork (Present)

• Ranked in the top 10% of freelancers on Upwork worldwide in full stack development for consistently delivering scalable, performant web applications using the MERN stack.
• Built and maintained production-grade systems for global clients across healthtech, education, and e-commerce.
• Specialized in rapid prototyping, API integrations, AI integration, and custom dashboards with user-centered design and clean UI/UX.

AI Full Stack Intern at TM Global (2026-04 – 2026-07)

• Built an AI-powered quiz generator that automatically creates questions and answers from user-provided topics and content using LLM integration.
• Developed an AI trip planner web application that generates personalized itineraries based on user preferences, budget, and destinations.
• Worked across the full stack — React front-end and Node.js APIs — integrating LLM services into production-ready features.

Remote Backend Engineer at Reviel Technologies (2026-06 – Present)

• Engineer backend services and AI/LLM DevOps pipelines — build, deployment, and monitoring workflows — that run LLM-powered features reliably in production.
• Cut average AI response time from ~17s to ~3s by moving heavy analysis into background jobs, caching per-user context, and tightening the LLM call path.

Engineering Intern at NMDPRA (2026-03 – Present)

Nigerian Midstream and Downstream Petroleum Regulatory Authority

• Assisted in data collection, documentation, and digitization workflows supporting regulatory compliance and reporting processes.
• Applied analytical and problem-solving skills to support technical assessments within a large-scale regulatory environment.

Intern at National Centre for Artificial Intelligence and Robotics (NCAIR) (2024-06 – 2024-08)

Embedded Systems Cohort

• Participated in advanced training and project development in embedded systems, IoT, and AI applications.
• Collaborated with cross-functional teams on solutions involving microcontrollers (ESP32, Arduino) and real-time data processing.

B.Eng. in Mechatronics Engineering – Nile University of Nigeria