Machine Learning Artificial Intelligence Data Analytics

ABIJITH RAMASWAMY BABU

+1-850-***-**** ***********@*****.*** LinkedIn

SKILLS __

Programming and Data Tools: Python, SQL, R, JavaScript. Web Technologies: HTML, CSS, Bootstrap, XML, React, Spring Boot. Database Systems and Cloud Platforms: MySQL, Snowflake, MongoDB, Microsoft Azure, Oracle Cloud (OCI), RDBMS, Kubernetes, CloudFront, Salesforce Einstein (Prediction Builder, Analytics), Salesforce CRM. Additional expertise: Agile Methodologies, Artificial Intelligence, System Design, Deep Learning Models, Data Visualization, Information Management, Microsoft Office.

EXPERIENCE __

The Innovation Hub – Florida State University, USA Graduate Assistant in Professional May 2025 – Present

● Support interdisciplinary instructional innovation directly by providing assistance for 3D modelling and 3D printing, and system maintenance for over 300+ students and faculty.

● Provide customer service support and technical support across the tech platforms of the Innovation Hub, resolving an average of 15-20 technical requests weekly, including device setup and user orientation.

● Contribute to 3-4 cross-functional projects per term, including prototyping, emerging tech integration, and digital fabrication efforts using 3D printers, AI tools and interactive design technologies. Project Intern – Prashan Medical Technologies, India Machine Learning Intern Dec 2022 - Apr 2023

● Conducted 200+ EEG signal recordings, processed and extracted features for silent speech recognition, achieving an accuracy of 85% using LSTM and Bayesian LSTM machine learning algorithms.

● Developed a system for decoding EEG signals into text or commands, improving accessibility for patients with speech disabilities by 40% efficiency in real-time processing.

● Collaborated with a team of 5 members to design and test machine learning models, ensuring robust feature classification and system reliability for diverse applications.

EDUCATION __

Florida State University Master of Science – Information Technology Aug 2024 – May 2026 CGPA - 4.0 Coursework: Advanced Data Science, Information Architecture, Troubleshooting and System Maintenance Management of Information Organizations, Web Designing, Web Usability and Analysis. PSG College of Technology Bachelor of Technology – Information Technology Aug 2020 – May 2024 CGPA - 3.25 Coursework: Database Management Systems, Operating Systems, Data Structures and Algorithms, Cryptography, IOT, Data Mining, Machine Learning, Cloud Computing, Computer Networks, Cyber Security. PROJECTS __

Federated Learning Project - Adversarial Attacks and Defenses Python, PyTorch, TensorFlow, Deep Learning

● Explored vulnerabilities in federated learning systems by implementing and analyzing prominent adversarial attack scenarios using Python and PyTorch, and validated solutions across diverse datasets, ensuring adaptability and reliability.

● Generated 96 adversarial images by implementing FGSM adversarial attack on a MobileNetV2-based federated learning model to evaluate vulnerability.

● Utilized Auto-encoder and Grad-CAM to engineer a robust defense system, achieving 91.67% defense accuracy with 88 successful defenses.

Comparative Analysis of ResNets, and Transformers for Medical Image Classification Python, SQL, Matplotlib, TensorFlow

● Conducted a comparative analysis on the ResNet152V2, Vision Transformer, and Swin Transformer deep learning models using a dataset of 6,400+ Alzheimer’s MRI images across 4 diagnostic categories.

● Employed SQL and DBMS techniques to clean, structure, and query datasets for effective preprocessing using TensorFlow and evaluation tracking.

● Achieved best results of 98% training accuracy and 92% test F1 score with ResNet152V2, and visualized 20 confusion matrices and attention maps for interpretability of decision patterns. Hotel Management System Python, MySQL, StreamLit, Oracle

● Designed and deployed a complete hotel management system handling real-time bookings, check-ins, billing, and room allocation for 50+ rooms using Streamlit for the user interface.

● Built a MySQL relational database with 15+ normalized tables to manage 100+ simulated customer records, staff profiles, inventory logs, and financial transactions.

● Reduced manual errors by 30% and improved administrative workflow efficiency by integrating dynamic SQL queries for reservation tracking and automated guest history retrieval.

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