Deva Anirudh Reddy
Utica,NY
Summary
Highly motivated and technically proficient Computer Science Graduate Student with a strong foundation in software development, machine learning, and IoT technologies. Experienced in designing innovative solutions, leading technical projects, and conducting data-driven research. Adept at predictive modeling, application development, and system optimization, with proven expertise in Linux systems, full-stack development, and automation testing. Exceptional problem-solving and collaboration skills, committed to driving impactful results in academic and professional settings.
Overview
2
2
years of professional experience
1
1
Certification
Work History
Core Member, IoT Club
Malla Reddy University
Hyderabad, India
10.2023 - 04.2023
- Organized IoT and cloud workshops, improving technical skills of participants
- Led IoT project sessions, enhancing teamwork and advanced technical knowledge
Machine Learning Intern
Verzeo
Hyderabad, India
01.2021 - 11.2021
- Built predictive models with 78% accuracy using Python and logistic regression
- Conducted data analysis and feature engineering for effective preprocessing
Education
Master's - Computer Science
SUNY Polytechnic Institute
05.2026
Bachelor's - Computer Science and Engineering
Malla Reddy University
05.2024
Skills
Programming: Java, Python
Web Technologies: HTML, CSS, JavaScript, Bootstrap Frameworks: Angular, Machine Learning
Databases: SQL, MySQL
Tools: Git, IntelliJ IDEA
OS: Linux (Ubuntu, Debian), Windows
Testing: Playwright automation
Cryptography: Secure Data Transmission, Encryption Algorithms
Soft Skills: Leadership, Problem solving, Teamwork
Certification
- Machine Learning with Python, Verzeo, 2023
- Machine Learning Workshop, Malla Reddy University, 2021
- Bash Scripting and Shell Programming (Linux Command line), 2025
Projects
IoT Medication Management System, Developed a real-time IoT-based system using RFID/NFC for medication adherence, integrating wireless modules and cloud connectivity. Credit Card Fraud Detection, Built a machine learning model with Python and scikit-learn for anomaly detection, achieving high accuracy in fraud prediction. Blood Bank Management System, Designed a full-stack web application with Django and Node.js for efficient blood bank operations, integrating MySQL for data storage. Intrusion Detection Using Federated Learning, Created a decentralized intrusion detection system using federated learning, achieving a 99.14% F1-score with the Flower framework. Kernel Memory Management Enhancements, Developed a Linux kernel module to simulate memory fragmentation and dynamically track memory usage. Automation Testing Framework with Playwright, Built an automated testing framework in Python, achieving a 95% test pass rate and enhancing test reliability. Battlefield Vital Signs Monitoring System, Co-authored a research paper on an IoT-enabled health and GPS tracking system for soldiers, published in the Journal of Northeastern University.
Timeline
Core Member, IoT Club
Malla Reddy University
10.2023 - 04.2023
Machine Learning Intern
Verzeo
01.2021 - 11.2021
Master's - Computer Science
SUNY Polytechnic Institute
Bachelor's - Computer Science and Engineering
Malla Reddy University
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