Mr. Ali
Software Engineer Intern — AI Engineer | Full-Stack Developer
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About
Computer Science graduate from FAST-NUCES with hands-on experience in Full-Stack Development and AI Engineering. Experienced in building scalable web applications, REST APIs, and AI-powered solutions using React, Node.js, TypeScript, Python, and modern machine learning frameworks. Through my internship at QBatch, Software Engineering Residency at Headstarter AI, and projects like DeepMed, I have developed a strong foundation in designing reliable software that solves real-world problems.
I enjoy learning new technologies, writing clean and maintainable code, and collaborating with teams to build products that create meaningful impact.
Experience
Software Engineer Intern — Full-Stack Developer at QBatch (2025-07 – 2025-08)
- Built and shipped features in Next.js/React apps backed by Express and PostgreSQL, improving internal workflows.
- Implemented and extended REST APIs with auth, input validation, and clear request/response contracts between client and server.
- Delivered responsive UI flows in Next.js/React (forms, tables, navigation) aligned with basic design and accessibility.
Software Engineering Resident — AI & LLM Engineering at HEADSTARTER (2024-09 – 2025-02)
- Built 5+ machine learning, AI-engineering and full-stack projects in fast-paced software team environments.
- Engineered 5+ neural networks in Python, 6 apps in Typescript on AWS/Vercel with dev and production environments.
- Implemented LLM Chaining, hyperparameter tuning, fine tuning on 10+ LLM models controlling for latency & accuracy.
- Coached by Google Machine Learning, Google Kubernetes, Two Sigma, Tesla, Figma and Citadel Engineers.
Teaching Assistant — AI-Relevant Courses at FAST-NUCES CS Department (2023-08 – Present)
- Theory of Automata, Operating Systems, Linear Algebra, Calculus & Analytical Geometry, Applied Physics, and Digital Logic Design.
- Delivered tutorials and mentoring sessions for 300+ students in computational thinking, algorithmic optimization, and mathematics used in ML.
- Developed course materials and assessments, bridging theoretical knowledge with practical applications.
Education
Bachelor of Science in Computer Science – FAST National University of Computer and Emerging Sciences (2022-26) - CGPA: 3.58
