About saad
AI/ML Engineer with an Avionics Engineering background from NUST, focused on computer vision and real-time AI applications. I enjoy working on problems where theory is tested by reality. My work involves training and deploying computer vision models using PyTorch and TensorFlow, and building AI systems that can understand and work with technical documents and structured data. I’m particularly interested in how vision models behave outside ideal conditions and what it takes to make them reliable in practice. Coming from an avionics background, I naturally gravitate toward perception-driven and safety-critical applications, where performance, robustness, and correctness matter more than benchmarks. I like fast-paced environments where learning is constant and problems are well-defined but challenging. Currently, I’m focused on strengthening my skills in perception and reasoning for intelligent, agent-based systems, with an emphasis on building solutions that work reliably beyond prototypes.
Key Skills
Experience
Computer Vision Engineer
CurrentCcript Agency
Ai Automation Engineer Intern
Try Soft Ai
Generative Ai & Backend Developer Intern
Neurostack
* Built end-to-end Generative AI applications using LLMs, RAG pipelines, and modern backend systems. * Developed production-ready FastAPI services with authentication, rate limiting, and clean REST APIs. * Implemented document-grounded AI systems using vector databases and hybrid retrieval to ensure accurate, hallucination-safe responses. * Designed multi-step LLM pipelines for structured generation, refinement, and reasoning. * Deployed full-stack AI products on Vercel and Hugging Face Spaces, handling real-world deployment constraints. * Worked closely with mentors on AI system design, prompt engineering, and scalable architectures.
Education
National University Of Sciences And Technology (nust)
Bachelors
Fazaia Inter College (fic)
Fazaia Inter College (fic)
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Common Questions
What is saad's expertise?
saad specializes in Computer Vision Engineer, with expertise in adversarial perturbations, computer vision, deep learning, fastapi, full stack deployment.
Where is saad located?
saad is based in islāmābād, jammu and kashmir, india.
How much experience does saad have?
saad has 3+ years of professional experience.
How can I contact saad?
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