Akash Rane

I am Akash Rane, completing my Master's in Computer Science Degree. My professional focus is the complete data lifecycle, from initial engineering to its application in strategic decision-making.

My experience stems from a strong foundation in back-end development and data engineering. I have expertise in building robust systems to efficiently collect, process, and transmit data using Python, SQL, REST APIs, and real-time protocols like MQTT and OPC-UA.

I leverage this engineering foundation to build and deploy predictive models, using machine learning libraries (Scikit-learn, XGBoost, TensorFlow) to uncover actionable insights. I am also proficient in translating complex data into clear narratives via interactive dashboards and visualizations with tools like Grafana, Node-RED, and Power BI.

Recently, I have also been exploring Agentic AI systems, focusing on designing intelligent, autonomous agents capable of decision-making, reasoning, and tool usage to enhance automation and system adaptability. This includes experimenting with frameworks that integrate LLMs, multi-agent coordination, and data-driven workflows to build AI systems that can operate with minimal human intervention.

Whether building data pipelines, training predictive models, or developing KPI dashboards, I am driven to solve complex data problems. I am actively seeking full-time opportunities in Backend Engineering, Data Science, or Data Analytics where I can contribute this comprehensive, full-stack data expertise.