Abhishek Kumar

I've built practical AI and IoT systems, including a Raspberry Pi 5 face-recognition attendance platform using TensorFlow and Edge AI, presented at IEMECON 2025.

My projects span an IoT-controlled smart wheelchair with real-time tracking and pathfinding, a reinforcement-learning traffic signal optimizer using SUMO, and a predictive maintenance platform for bike-sharing fleets using Python, XGBoost, and React.

Through internships at Infotact Solutions, Encryptix, and the Google Android Developer Virtual Internship, I've worked on data analysis, ML model development, Python applications, and deploying models with Vertex AI on Google Cloud. I'm seeking an entry-level role where I can apply problem-solving and analytical skills to software, data, and machine learning challenges.