ROHAN REDDY MANDHA
Skills
Python TensorFlow PyTorch Deep Learning Computer Vision CNN Transfer Learning Grad-CAM CBAM Attention Scikit-learn Java Go (Golang) JavaScript React Node.js Express.js Spring Boot REST APIs SQL MongoDB MS SQL Server AWS (EC2, S3) Azure Deployment Git Linux CI/CD Data Structures & Algorithms Distributed Task Scheduling Kafka Redis PyCharm Eclipse Visual Studio VGG19
Education
University of Texas at Arlington
Master of Science in Computer Science
2026
JNTU Hyderabad
Bachelor of Technology (B.Tech) in Computer Science & Engineering 2024
Experience
BHEL Pvt Ltd
AI / Software Development Intern
Jan 2023 - Aug 2023
Automated repetitive business workflows using Python and Java, enhancing data processing efficiency by 25% and streamlining internal IT operations.
Designed and optimized complex SQL queries for reporting and backend operations, improving data retrieval times by 30% for ERP systems.
Developed and enhanced web applications using React and Node.js, improving operational efficiency by 15% and collaborating with senior engineers to debug and enhance application performance. Projects
Brain Tumor Classification using CNN with Attention & Explainability: Developed an MRI image classifier leveraging Transfer Learning with VGG19, achieving 76% accuracy through fine-tuning and early stopping. Integrated CBAM attention mechanism to enhance feature extraction on tumor-specific regions. Implemented Grad-CAM for model interpretability, generating visual heatmaps to explain decision-making in clinical contexts. SMART SHOP: Full-Stack E-Commerce with AI Assistant: Engineered a full-stack e-commerce platform using React and Node.js, featuring an AI-based recommendation system for personalized user experiences. Implemented JWT authentication and deployed the architecture on Azure for high availability and scalability. Cloud-Based Log Monitoring & Alerting System: Built a real-time log collection and analysis system using Kafka and Java, enabling error identification via pattern-based detection. Designed a visual dashboard and utilized AWS deployment for scalable monitoring and automated alerting.
Arlington, TX
682-***-**** ******************@*****.***