Headline

SWE Intern @Internloom | Google Student Ambassador | ML Researcher • CV | IIT Madras × MIT | Full Stack + AI

About

I’m a 2nd-year Information Technology student with a strong interest in software development and problem-solving. I enjoy building applications and exploring how technology can be used to solve real-world problems. I have experience working with languages like Python, Java, and C, and I’m currently strengthening my fundamentals in data structures and algorithms. Recently, I’ve been working on projects involving web development and backend systems using tools like Flask, along with databases like SQLite. I’m actively looking for internship opportunities where I can learn, contribute, and grow as a developer. I’m always open to connecting with people in tech, learning from their experiences, and exploring new opportunities.

Location

Greater Bengaluru Area

AI stack

aistudio

antigravity

claude code

claude

codex

hugging face

Work experience

swe intern at Internloom, May 2026 - Present · 3 mo, Remote

Software Development Engineer 1 at Internloom, May 2026 - Present · 3 mo, Remote

Google Student Ambassador at Google Student Ambassadors India, Apr 2026 - Present · 5 mos, Remote

Software Engineer at Internloom, Mar 2026 - Present · 6 mos, Bengaluru, Contributed to the development of InternLoom’s placement platform by building scalable backend features and responsive frontend components for internship management and application tracking.

Student Researcher – AI in Healthcare at Manipal Academy of Higher Education, Dec 2024 - Present · 1 yr 9 mos, Karnataka, India, Developing deep learning models for automated image classification and object detection achieving 94% accuracy on multi-class classification tasks using hierarchical neural network architectures • Implemented U-Net based semantic segmentation model with Dice coefficient of 0.91 for precise region-of-interest extraction, improving downstream task accuracy by 12% over baseline approaches • Engineered explainable AI pipeline using Grad-CAM visualization to generate attention heatmaps, enabling model interpretability and understanding of learned feature representations • Built end-to-end machine learning pipeline integrating data augmentation, transfer learning (EfficientNetB4), custom loss functions, and model ensembling techniques for robust performance • Designed interactive web-based deployment system using Gradio for real-time model inference with confidence scoring and multi-stage prediction workflows

Dept. of Sponsorship (OC)– Tech Solstice at Manipal Academy of Higher Education, Jan 2025 - Apr 2025 · 4 mos

Education

Bachelor's Degree, Machine Learning & Data Science, Indian Institute of Technology, Madras

Bachelor of Technology - BTech, Information Technology, Manipal institute of technology

Public links

github: https://github.com/TarunScript

tinyurl.com: https://www.tinyurl.com/TarunScript