Tejaswini Sunil Mane

I’m an Electronics and Telecommunication Engineering undergraduate training toward a B.Tech, and I bring hands-on experience from academic projects and a brief industry internship in IoT systems, software development, and machine learning. I’m comfortable working across the SDLC, with a strong focus on data analysis and system testing to ensure dependable outcomes.

During my internship at Magnewin Energy Pvt. Ltd., I supported quality and performance work by helping check circuit performance and assisting with basic testing and validation of components. In parallel, I build ML and IoT solutions—like an ongoing Raspberry Pi–based multi-sensor system that processes real-time sensor data, improves data reliability through pre-processing and calibration, and trains a model to classify milk quality. I also developed a network throughput prediction project using Random Forest and LSTM models, improving results through hyperparameter tuning and evaluating performance with MAE and RMSE.

I aim to join a team where I can contribute as a developer by translating analysis into working software. I’ve strengthened my practical engineering approach through leadership and execution—serving as a Web Team Member for IEEE DKTE, collaborating across departments, and managing web resources with version control. I’m motivated by challenge and learning, reflected in achievements like a 1st Place finish in Code Crush (Female Category) and participation in the Google Girls Hackathon 2025.