aiman ishaq
@aimanishaq
Backend Software Engineer specializing in Python and scalable API architecture.
What I'm looking for
I am a Backend Software Engineer with a strong focus on Python, FastAPI, and Django, dedicated to creating scalable and secure backend solutions. My experience spans cloud deployments, database optimization, and integrating AI/ML into production systems, allowing me to tackle complex engineering challenges effectively.
Throughout my career, I have developed robust backend services and RESTful APIs, engineered real-time socket communication, and incorporated machine learning models into workflows. My work at NOT-AI has honed my skills in deploying containerized applications on AWS and applying API security practices, ensuring high-performance and reliable systems.
In addition to my technical expertise, I have a passion for continuous learning and collaboration, which drives me to deliver innovative solutions that enhance user experiences. I am eager to contribute my skills to a dynamic team that values creativity and problem-solving.
Experience
Work history, roles, and key accomplishments
Backend Software Engineer
NOT-AI
Jan 2023 - Present (2 years 6 months)
Developed scalable backend services and RESTful APIs in Python using FastAPI and Django. Engineered real-time socket communication to deliver low-latency data updates and interactive features.
Research and Development Engineer – Machine Learning
Pakistan Air Force
Oct 2019 - Dec 2022 (3 years 2 months)
Developed AI-driven robotic systems to automate tasks and improve operational efficiency. Deployed machine learning models on embedded hardware for real-time inference with minimal latency.
Education
Degrees, certifications, and relevant coursework
FAST National University
B.S. in Computer Science, Computer Science
Studied computer science at FAST National University, focusing on core principles and advanced topics. Completed a final year project on neural text style transfer for Urdu, which involved deep learning and image processing techniques. Published research on EEG-enhanced neural text style transfer in Computers and Electrical Engineering, Vol. 102, 2022.
Availability
Location
Authorized to work in
Job categories
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