Tharun Chandra Lingala

I’m a final-year computer science student and full-stack software engineer with a strong foundation in data structures, algorithms, and software design. I focus on building scalable, AI-integrated web applications that are reliable in production.

I’m proficient in Java, JavaScript (ES6+), TypeScript, and Python, and I build modern interfaces with React.js and Next.js. On the backend, I develop REST APIs and event-driven architectures using Node.js and Express.js, and I’m comfortable working with SQL and systems like PostgreSQL.

In my AI/ML virtual internship with Virtual EduSkills & AICTE (Google for Developers)/Apr 2025 to Jun 2025, I completed a structured 10-week AI-ML program and implemented supervised and unsupervised learning (classification, regression, and clustering) with Python and scikit-learn. I improved data quality through augmentation, cleaning strategies, and multi-source integration, and I led a CardioAI project (heart disease prediction) for a team of 3+ developers.

I also integrate trained AI models with a PostgreSQL backend for patient record management, bridging ML outputs with a scalable, query-optimized database layer. My project work—WeConnect (real-time distributed messaging), aiMagix (Gemini API image generation), and webGenie (LLM-driven website generator)—reflects my goal: shipping full-stack experiences with strong engineering practices and Agile/Scrum collaboration.