I am Hasnain Naeem, a full-stack software engineer with expertise in backend development, distributed & cloud computing, meta-programming, and machine learning engineering with a proven track record of delivering data-intensive, highly scalable, and maintainable solutions in monolithic and microservices development.

I have a strong passion for engineering efficient, reliable, and large-scale computing systems that employ cutting-edge machine learning, data management and distributed computing techniques.

Industry Experience

I have worked with several established as well as early-stage companies, including:

• Fractl — startup based in Silicon Valley developing a high-level declarative, and event-driven programming language and a no/low-code platform with integrated generative AI co-pilot.
• Motive — unicorn startup supporting over 1 million drivers and 60,000 fleets in the USA and Canada.
• Accrue — US-based fintech startup building software for complex analytics on massive data.
• AI Lounge — AI EdTech company.
• WaterSprint — provides innovative solutions for water, climate, and agriculture to safeguard natural resources.

My expertise in diverse programming paradigms (functional, reactive, object-oriented, multi-paradigm) and frameworks combined with nuanced technical insights enables me to accelerate time-to-market for complex projects while ensuring high code quality.

R&D Experience

As a Fatima Fellowship Research Fellow, I worked with Dr. Abdulrahman Mahmoud — a Harvard researcher — on improving performance and reliability of ML systems, particularly by finding finding efficient hardware number formats through simulations that are resilience against bit injections and adversarial attacks on ML models.

Moreover, under Dr. Faisal Shafait at Deep Learning Lab, NCAI, I worked on several deep learning applications, including steering models for self-driving cars, adversarial example generation, violence detection in videos, forest change detection using satellite imagery segmentation, and some other exciting projects.

Hobbies

When not delving into technical books, I enjoy:

• Analyzing startups
• Studying history
• Powerlifting
• Reading poetry

I also enjoy competing in coding competitions and have several national-level competitive programming and machine learning competitions — details are in accomplishments section.