Hi, I'm Shauryaveer Narwal
Senior CS Student @ UofM
I build innovative digital solutions that make a difference. Passionate about clean code, user experience, and cutting-edge technology.
Featured Projects
A showcase of my recent work and technical expertise
ShopGPT
AI-powered web application leveraging React for a dynamic front-end and Django for the backend, providing personalized online shopping experiences. Integrated OpenAI API for deal recommendations and built a collaborative filtering algorithm to aggregate real-time deals from multiple sources.
Tennis Meetup Bot
Discord bot automating tennis match scheduling, player matching, and court management for 100+ users. Designed a Python-based matching algorithm considering skill, location, and availability. Containerized deployment with Docker reduced setup time by 50%.
Experience
My professional journey and achievements
Software Engineer Intern
VVDN Technologies
June 2025 – Aug 2025- Developed internal automation system with Python and Generative AI APIs, processing 1000+ daily device logs and reducing anomaly detection time from hours to minutes.
- Implemented RAG pipeline with Vector Database, enabling contextual querying across 50+ device manuals and 10,000+ telemetry records.
- Built backend APIs using Model Context Protocol patterns, deployed on GCP with Docker, supporting multiple engineering workflows.
- Collaborated with ML team on prompt engineering and Transformer-based models, achieving 85% classification accuracy and reducing manual analysis time by 45%; integrated CI/CD pipelines.
Undergraduate Research Assistant
College of Engineering — Michigan State University
May 2024 – Aug 2024- Created automated pipeline in Python (pandas, scikit-learn) for Nano Biosensors Lab, reducing spectroscopic data processing time from Excel by 95%.
- Applied K-means clustering, statistical analysis, and visualization using SciPy, NumPy, and openpyxl to improve data interpretation.
Software Development Intern
Geniemode (Tech Startup)
May 2023 – Aug 2023- Collaborated with 6-person team to enhance supply chain platform for 10+ enterprise clients (Zara, H&M), implementing features and optimizing workflows.
- Optimized backend with Node.js via query improvements and caching, reducing API response times by 40%, deployed on AWS for scalability.
- Improved UX with React Native features, reducing order placement time by 30% and enabling real-time tracking for 500+ daily orders.
About Me
Passionate about technology and innovation
I'm a senior computer science student at the University of Michigan (Go Blue!) with a passion for creating elegant solutions to complex problems. I'm currently developing my skills in full-stack development and building scalable applications that deliver exceptional user experiences.
I enjoy exploring new technologies, contributing to open-source projects, and sharing knowledge with the developer community.
Beyond Coding
When I'm not writing amazing and totally bug free code, I’m usually exploring my creative and personal interests.
