Lalith kumar Kasula

I’m a self-motivated, detail-oriented IT student with a strong foundation in software development, data structures, and problem-solving. I enjoy building scalable applications and learning emerging technologies like AI and cloud computing, and I’m comfortable working in teams to deliver results.

In my AI and cloud project, I developed an “AI and Cloud-Based Collaborative Platform for Plant Disease Identification, Tracking, and Forecasting for farmers.” I used Python, TensorFlow, and OpenCV for image-based diagnosis, and I implemented Firebase for cloud storage and real-time data sync to support regional tracking and forecasting.

I also built a Java-based “Online Public Shaming on Twitter” tool that connects with the Twitter API, processes JSON data, and applies sentiment analysis with keyword filtering for real-time flagging. Beyond projects, I completed data analytics and visualization by Accenture, AWS architecture job simulation, and software engineering training from JP Morgan Chase & Co. and Walmart Global Tech.

My work has been recognized with an Innovation cell Institutions innovation council (Ministry of education initiative) award for the plant disease platform. I’m now looking for an entry-level position where I can apply my technical skills, keep learning, and grow professionally while contributing to meaningful products.