Raj M.

● Pioneered a Software-Virtualized Quantum Network (VQN) using FastAPI, React, Three.js, Vue.js, Azure, and MySQL, enabling multi-tenant access to entangled photon resources through cloud-native architecture, reducing local server load by 80%. ● Achieved a 36% boost in fairness by implementing Proportional Fair Utility Function, resulting in fair distribution of limited resources. ● Delivered a 75% improvement in deployment time by automating using Azure Kubernetes Service (AKS) and GitHub Actions CI/CD. ● Validated Locust-based load testing using Kubernetes HPA for 1,000+ concurrent users, resulting in a 47% drop in latency.

Coordinated and managed event logistics, including room bookings, catering arrangements, and overseeing set-up and tear-down. Maintained accurate inventory records, handling the ordering and restocking of supplies as needed. Developed and implemented processes to streamline operations, enhancing overall efficiency.

Collaborated with the Setup team to prepare event spaces for various events held at multiple locations across NC State University.

● Engineered a Centralized Task Management microservice with Spring Boot, XML and PostgreSQL (5M+ rows), eliminating 95% of duplicated tasks and cutting storage costs by 30%. ● Contributed to 12+ integration modules across 3 teams delivering real-time data to audio & video calls. ● Achieved 80% reduction in data loss by integrating shutdown hooks to persist system state in Redis, enabling recovery on restart. ● Boosted query performance by 25% through Elasticsearch migration and semantic search integration.

● Developed a Chrome extension to reduce research time by summarizing and saving online articles & research papers in user’s ClickUp Account for review, resulting in reduction of time in gathering information by at least 50%. ● Created an intuitive UI using ReactJS and integrated ClickUp API and OAuth for secure 3rd party authentication like Google and Facebook.

Achieved 66th National Rank among 12000+ teams.

I worked with Dr. Khushbu Maurya. I mainly researched Tropical Cyclones' effects and prediction methods. The main objective was to develop a ML model that could accurately predict cyclones at least 48 hours prior, which could help people escape the calamity beforehand. I collected data from sources like ISRO, CMA, IMD, IBTrACS, etc. and studied various research papers on cyclone prediction and geospatial data processing. I also developed a Machine Learning model that uses LSTM layers to predict tropical cyclones 48 hours earlier. The model scored an RMSE of 13.992. The model uses attributes like Latitude, Longitude, Estimated Central Pressure (hPa), Maximum Sustained Surface Wind, Pressure drop, etc., to predict the cyclone intensity/grade.

I worked under Professor Sejal Thakkar and her team. The main focus of our research was plant disease prediction, a significant problem for the agricultural sector. We researched and gathered information on various plant disease detection models and built our own model using convolutional neural network (CNN). We also went to local farms to collect datasets for the castor plant (Ricinus). I also assisted in developing a mobile app that can detect plant diseases of major crops, and this project also secured the runner-up position in the Smart India intra-college Hackathon organized by Indus University, where more than 50 teams participated. The knowledge I gained also helped me co-write a review paper on different AI approaches to plant disease detection and image collection and processing.

● Led the Development of full-stack application for an agriculture IoT using Agile Software Development Life Cycle model. ● Developed new microservices using Spring Boot, MongoDB and React as per business requirements. ● Designed the architecture for notification system using Kafka and AWS SNS, increasing user engagement by 78%. ● Devised functions and algorithms to identify diseases and deficiency of nutrients in plants by processing and leveraging data collected from the IoT device.

• Girlscript Winter of Code is a 3-month Open Source contribution program by Girlscript Foundation. • Contributed to various domains in the Girlscript repository. • Strengthened my git version control knowledge.

• Contributed to different Hacktoberfest repository on Github. • Also recieved swags for completing multiple PR.

Course Work - Design and Analysis of Algorithms, Automated learning and data analysis, Object Oriented Design and Development, Building game with AI, Human Computer Interface, Neural Networks and Deep Learning.