At MAQ Software, I develop scalable backend services and FastAPI APIs using Python and SQL, improving system throughput by 20% and operational efficiency by 10%.
I also built an internal productivity bot that reduced manual effort by 30%, and optimized SQL queries and FastAPI endpoints to reduce response time by 25%.
As a part-time DataCamp Instructor, I designed a hands-on Machine Learning and NLP course using real-world datasets and Python, and created a practical Q-Learning tutorial that reached 250+ learners with a 4.6/5 average rating.
I've built AI and full-stack projects including a heart disease prediction platform, a reinforcement-learning traffic control system that improved traffic flow efficiency by about 50%, and a student learning and career platform. I bring hands-on experience across Python, machine learning, backend development, cloud platforms, and hackathon-driven problem solving.
