Mriganka Debnath

I excel at the interface of backend programming, embedded systems, and AI-powered solutions. Being proficient in Django, Flask, and FastAPI, I've developed scalable and effective applications and coupled with proficiency in MongoDB and PostgreSQL. I extend my technical know-how to embedded systems, C++, and Java and thus have experience with low-level optimization and system programming. I have interned as a backend engineer at two startups, where I worked on real-world applications, sharpening my problem-solving and system design skills. Some of my most important projects are Crowd Lift, a FastAPI-powered crowdfunding website; a Patient Symptom Tracker Android application that assists users in tracking health status; an AI-driven VS Code extension for coding support; a Railway Collision Avoidance System that offers improved railway safety; and a Drought Prediction Model based on time series forecasting. What propels me is the challenge of using technology to solve difficult problems in automation, AI, and real-time systems, where efficiency and innovation have to march hand in hand.