Nitin Diwakar

I am a machine learning and computer vision engineer specializing in AI-driven precision agriculture and real-world ML deployments. I design and train models using TensorFlow and PyTorch and integrate multimodal data sources like hyperspectral imagery and IoT sensors.

At C-DAC I spearheaded R&D for smart farming solutions, built end-to-end ML pipelines on the PARAM Utkarsh supercomputer, and collaborated with full-stack and IoT teams to deliver farmer-facing dashboards. I have hands-on experience in data preprocessing at scale and deploying production-ready models.

Previously, as a data science intern at Algo8 AI, I cleaned and preprocessed over 500,000 data points, improving analysis accuracy by 25%, and developed models that improved operational efficiency. I communicate analytical findings to both technical and non-technical stakeholders through reports and dashboards.

I hold a PG-Diploma in Big Data Analytics and a B.Tech in Computer Science and Engineering, and I pursue practical projects such as an AI-powered precision agriculture system, YOLOv8-based object detection, and Power BI sales analytics dashboards.