Feb 2026 – May 2026 · 3 mos · Bengaluru · On-site

• Working as a Full Stack Developer Intern, contributing to projects in AI, Cybersecurity, and DRE. Gaining hands-on experience in building scalable web applications, backend services, and collaborating in a real-world development environment.

Aug 2025 – Dec 2025 · 4 mos · Bengaluru · Hybrid

• Worked as a Data Science and Machine Learning Intern, gaining hands-on experience in building and optimizing machine learning models.
• Performed data preprocessing, feature engineering, and exploratory data analysis (EDA) on real-world datasets to extract meaningful insights. Implemented supervised learning algorithms such as Logistic Regression, Decision Trees, Random Forest, KNN, and SVM for classification and regression tasks.
• Applied feature scaling and transformation techniques to improve model performance. Utilized hyperparameter tuning methods like GridSearchCV and RandomizedSearchCV along with cross-validation to enhance accuracy and generalization.
• Gained exposure to deep learning concepts including Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN). Also worked on model evaluation using metrics like accuracy, precision, recall, and F1-score.

Dec 2024 – Dec 2025 · 1 yr · Bengaluru, Karnataka, India

• Selected as a Student Member of IEEE, demonstrating commitment to advancing technology and innovation
• Part of the IEEE Bangalore Section, collaborating with a global network of engineers and researchers
• Engaged in technical events, workshops, and knowledge-sharing sessions
• Strengthened understanding of emerging domains like software engineering, data structures, and modern technologies
• Built professional connections and explored industry-level advancements