• Mitigated legacy Windows Forms application to a modern WPF application using C#, XAML and .NET.
• Adopted MVVM architecture, integrating OpenTK and OpenGL with JSON files for rendering 2D design layouts.
• Established a fully automated CI/CD pipeline, reducing deployment time by 30%.
• Incorporate ABR AI API into the new software systems, aiming for a 3.5% reduction in processing time for relevant tasks

• Formulated and documented Product 360 overview and optimized pipeline for client, achieving a 12% increase in efficiency.
• Developed, and integrated websites, external data sources, and AI-driven chatbots, enhancing customer service response time by 30%.
• Collaborated on a team of 10 to migrate CRMnext to a microservices architecture, enhancing scalability by 13%.
• Created a real-time analytics dashboard using React and D3.js, improving data visualization for 1,000+ users.
• Crafted RESTful APIs, conducted rigorous testing using Postman and Soap UI, and enhanced CRMnext mobile responsiveness with Bootstrap for 5,000+ mobile users.
• Led the management of the MySQL database and optimization of procedures.

• Engineered a cost-effective home assistant model leveraging Raspberry Pi, Arduino, and Home Assistant, achieving a 47% reduction in implementation costs compared to traditional solutions
• Produced a user-friendly dashboard using Flutter, enhancing accessibility and control, leading to a 51% surge in user satisfaction

• Created a user-friendly National Police Incident Database (NPID) full stack application using semantic web engineering.
• Deployed on Amazon EC2 with a 99.9% uptime, ensuring continuous accessibility. Integrated Flask API for seamless data flow, expanding application capabilities.
• Preprocessed data with pandas, analyzing a 1900+ police incidents dataset, generating 42,000+ triples. Built an ontology-based system for optimized data organization and query efficiency.

• Synthesized gaming experience with immersive audio and visual elements, and smooth camera transitions, resulting in a significant 25% increase in user satisfaction and a 15% boost in player engagement.
• Pioneered responsive player controls and refined enemy AI, contributing to a 35% improvement in overall user experience.
• Overcame intricate technical challenges through methodical debugging, accomplishing a 40% decrease in critical bugs.

• Built an advanced face detection and recognition system using OpenCV library and SVM (Support Vector Machine) algorithm.
• Utilized advanced feature extraction algorithms to identify crucial facial components (eyes, ears, nose, and mouth).
• Attained 91% precision by training an SVM classifier on extracted features for precise face recognition

• Directed creation of an innovative and cost-effective IoT(Internet of Things) solution, resulting in a 30% increase in user-machine interaction for individuals with limited mobility
• Engineered a Morse Code Technology-based communication controller, attaining a 40% improvement in user independence
• Spearheaded design and development of a user-friendly mobile application, enhancing users overall experience by 25%

• Designed and implemented a software system using various design patterns which served as an auction house for farmer's market.
• Developed numerous software test cases to test the system against potential edge cases to check the efficiency of the system.

If you'd like to talk about a project you want help with or need an advice about sofware development, just drop me a message at nagraw18@asu.edu ! I'm currently Open to Work.