Hey, I'm
Manaswini
Zagabathuni.

I'm a Computer Science grad student who loves building things that actually work — from deep learning models for real-world agriculture to cross-platform apps and cloud pipelines. Always learning, always shipping.

Who I Am

A little about me

I'm currently pursuing my Master's in Computer Science at Indiana University Bloomington, building on a strong foundation from SRM University in Chennai where I led multiple capstone projects.

My interests sit at the intersection of machine learning, cloud systems, and full-stack development. I genuinely enjoy the process of turning a messy problem into something clean and useful — whether that's deploying an ML model on edge hardware or designing a real-time chat app from scratch.

I've had the chance to work with AWS cloud infrastructure and Salesforce CRM systems through internships, and I've published research on deep learning for agricultural diagnostics. I'm always looking for the next problem worth solving.

3.6
GPA at IU Bloomington
2
Research Publications
99.85%
Model Accuracy (ViT + EfficientNet)
8+
Certifications earned
Academic Background

Where I've studied

Master's in Computer Science
Indiana University Bloomington, USA
2025 – 2027
GPA: 3.6 / 4.0
Applied Machine Learning · Applied Algorithms · Software Engineering · Applied Database Technologies · Large Language Models · Systems & Protocol Security
B.Tech in Computer Science & Engineering
SRM University, Chennai, India
2021 – 2025 · Team Lead, Minor & Major Projects
GPA: 8.96 / 10
Data Structures & Algorithms · OOP · Design & Analysis of Algorithms · Operating Systems · Computer Networks · Data Mining · AI · DBMS · Compiler Design
Professional Background

Where I've worked

AICTE – AWS AI/ML Virtual Intern
Jan 2024 – Mar 2024
  • Deployed ML models on AWS EC2 and S3, improving deployment efficiency by 30%
  • Architected scalable cloud-based ML pipelines enabling automated training and real-time inference
  • Automated cloud environment configuration, cutting down setup time and reducing manual errors
Salesforce Developer Virtual Internship
Nov 2023 – Jan 2024
  • Configured and customized Salesforce CRM objects, workflows, and validation rules to optimize business processes
  • Designed interactive dashboards and reports to improve data visibility and decision-making
  • Implemented automation using Process Builder and workflow rules to streamline task execution
  • Collaborated in an Agile-based virtual team to deliver project milestones and system enhancements
Things I've Built

Featured Projects

Deep Learning · Edge AI
Tomato Leaves Disease Classification Using Vision Transformers & EfficientNet
Built a hybrid deep learning architecture combining EfficientNet and Vision Transformers (ViT), hitting 99.85% classification accuracy across 9 disease categories. Optimized for edge deployment on NVIDIA Jetson Nano for real-time agricultural diagnostics.
Python TensorFlow ViT EfficientNet NVIDIA Jetson Nano
View Publication →
Mobile · Full-Stack
Cross-Platform Flutter Chat App with Firebase & Supabase
Engineered a real-time cross-platform chat application using Flutter with Firebase authentication and a Supabase backend. Features include secure auth, media sharing, and real-time messaging — consistent across Android and iOS.
Flutter Firebase Supabase Dart
View Publication →
Health Tech · ML
Intelligent Health Forecasting System
Designed a predictive health monitoring system that forecasts potential health risks up to 3 days ahead. Integrated modules for BMI, sleep, diet, and workout tracking with personalized recommendation logic and 24/7 continuous monitoring.
Python Machine Learning Data Analytics
What I Work With

Skills & Technologies

Python
C / C++
Java
SQL
JavaScript
HTML / CSS
TensorFlow
AWS (EC2, S3)
MongoDB
Linux
Flutter / Firebase
Salesforce CRM

Certifications

Theory of Computation – NPTEL
Python for Data Science – NPTEL
SQL Basic – HackerRank
Database Foundations – Oracle Academy
Getting Started with AI on Jetson Nano – NVIDIA
Building Video AI Apps at the Edge – NVIDIA
Programming for Everybody (Python) – Coursera
MongoDB CRUD Operations in Python – MongoDB

Say hello

I'm always open to chatting about interesting projects, research ideas, internships, or just nerding out about ML and systems. Feel free to reach out!