Sathwika Lagumsani

Computer Science graduate with expertise in networking concepts, protocols, and infrastructure. Skilled in configuring and troubleshooting routers, switches, and firewalls, supported by hands-on experience from academic labs and personal projects. Knowledgeable in industry standards including TCP/IP, DNS, DHCP, and VLANs. Committed to leveraging technical skills to enhance enterprise network systems and pursue continuous professional development in network engineering.

Title: An Image based approach to detection of fake coins - Lamar University

Summary: Designed and deployed a real-time coin authentication system using smart cameras and a secure client-server network, enabling 24/7 image streaming and processing. Integrated CNN models with 95%+ accuracy using SIFT and SURF features for counterfeit detection. Optimized network communication protocols, reducing image transmission latency by 40%.

Title: Cloud based drowsiness detection and alert system-Anna University

Summary: Designed and implemented a network-connected driver drowsiness detection system with 90%+ accuracy using Python, OpenCV, and Deep Learning. Developed backend infrastructure with MySQL and real-time alert modules, reducing driver response time by 30%. Focused on network communication protocols between detection units and alert systems, enabling IoT/cloud-ready architecture for scalable traffic safety solutions.

Title: Stock price prediction using Machine Learning-Anna University

Summary: Developed a stock price prediction model using a modified K-Nearest Neighbors (KNN) algorithm, achieving 80% accuracy on historical market data. Processed 0.5 million+ data points using Python, Pandas, NumPy, and Scikit-learn, enhancing trend analysis and investment decision-making.