RAMIREDDY DHARRMA TEJA REDDY

Software Engineer

Hyderabad, Telangana, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Developed advanced AI-driven security systems.
Created a Quantum-Safe Medical Image Tamper Detection System.
Skilled in both Cybersecurity and Software Development.

Stackforce AI infers this person is a Cybersecurity and Software Development professional with a focus on Healthcare and AI technologies.

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Skills

Core Skills

CybersecuritySoftware DevelopmentMachine LearningData Analysis

Other Skills

Post-Quantum CryptographyAI-based image forensicsQR-code verificationFlaskPostgreSQLDockerPythonLinuxEvent LoggingLoggingScikit-LearnTechnical DocumentationQR Code GenerationDatabase Management System (DBMS)Secure Software Development

About

Final-year Computer Science student passionate about Software Development, Cybersecurity, SOC Operations, and AI-driven solutions. I have built projects involving Post-Quantum Cryptography, Medical Image Tamper Detection, AI-powered Security Systems, and Workflow Automation using modern technologies. My interests include Java Development, Linux, Cybersecurity, Cloud Technologies, and Secure Software Engineering. Currently seeking internship and entry-level opportunities where I can contribute, learn, and grow as a software professional. Skills: Java, SQL, Linux, Python, Cybersecurity, AI, Web Development, Git

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Centre for health innovations (chi)

Research Intern (Health Image Security Engineer)

Jan 2026 – Jun 2026 · 5 mos · Sector – 43, Aravalli Hills, Delhi – Surajkund Road, Faridabad – 121004, (Haryana), India · On-site

Developed a Quantum-Safe Medical Image Tamper Detection System that combines Post-Quantum Cryptography (CRYSTALS-Dilithium), AI-based image forensics (EfficientNet-B4), QR-code verification, and LSB steganography to ensure secure medical image authentication and integrity verification. Implemented explainable heatmap visualization for tamper localization, role-based authentication, audit logging, PostgreSQL database integration, and Docker-ready deployment using Flask. Designed a hybrid trust verification framework that integrates cryptographic validation with AI-driven forensic analysis to detect and prevent unauthorized modifications in healthcare imaging systems.

Post-Quantum CryptographyAI-based image forensicsQR-code verificationFlaskPostgreSQLDocker+2

Innovate

Cyber Security Intern

Jul 2025 – Aug 2025 · 1 mo · Remote

Developed a Linux-based keystroke monitoring application using Python to understand system-level event handling, keyboard input capture, logging mechanisms, and cybersecurity monitoring techniques. The project focuses on secure event collection, log management, and user activity analysis for educational and research purposes.
Implemented real-time keystroke event capture, timestamped logging, file handling, and automated log storage while exploring Linux operating system internals and Python-based system programming.

PythonLinuxEvent LoggingLoggingCybersecuritySoftware Development

Ybi foundation

Machine Learning Intern

Jun 2024 – Aug 2024 · 2 mos · Remote

Developed a machine learning-based predictive analytics system to estimate the selling price of used cars using historical vehicle data. The project involved data preprocessing, exploratory data analysis, feature engineering, and regression modeling to identify key factors influencing vehicle resale value. Implemented a Lasso Regression model using Scikit-Learn to predict car prices based on attributes such as manufacturing year, present market price, kilometers driven, fuel type, seller type, transmission type, and ownership history.

Machine LearningData AnalysisScikit-Learn