CHANDRA KIRAN KUMBHA

A results-driven Software Engineer with a foundation in Electrical and Electronics Engineering from NIT Warangal. Currently specializing in full-stack development and applied machine learning through an MSc in Computing. Proven ability to architect and deploy complex systems, from an award-winning published paper on hardware optimization to a full-stack hotel price prediction platform using Python, Flask, and Docker. Eager to apply skills in system automation and predictive modeling to solve challenging problems in a software engineering internship or graduate role.

• Dynamic Hotel Price Prediction System (MSc Dissertation Project), architected and deployed a full-stack price prediction platform using Python, Flask, and Docker, integrating LSTM and XGBoost models to achieve high-accuracy forecasts, engineered a relational database using MySQL and developed a robust RESTful API with Flask to manage real-time data ingestion, processing, and user alerts, constructed a responsive and interactive frontend with JavaScript and Chart.js to visualize complex price trends and provide a seamless user experience
• LED Driver Circuit Optimization Project, NIT Warangal, Designed an innovative LED driver circuit integrating Flyback and Buck-Boost topologies., Focused on maximizing energy efficiency through simulation and real-world testing., Applied systems thinking and documented design improvements for publication., Gained experience in technical reporting, teamwork, and cross-functional communication.

• Co-authored a peer-reviewed research paper on this work, published in Springer's "Recent Advances in Power Electronics and Drives" (2024).

• Machine Learning, Stanford University via Coursera
• Software Engineering, HackerRank
• SQL (Advanced), HackerRank
• C# Foundational Certification, Microsoft, In Progress

• English
• Telugu
• Hindi
• Tamil

• Engineering innovation
• Design technology
• Formula 1
• Coding
• Reading