I specialize in creating impactful applications with modern technologies. Currently a Computer Science student at UW-Madison with a passion for innovative solutions.
Here's a quick snapshot of who I am and what I do
I'm a Computer Science student at the University of Wisconsin - Madison with a passion for building innovative solutions. My journey in tech began with a curiosity about how things work, which has evolved into a drive to create impactful applications.
I thrive in collaborative environments where I can contribute my skills in problem-solving and creative thinking. My technical expertise spans multiple domains, from web development to AI/ML solutions.
When I'm not coding, you might find me exploring new technologies, working on personal projects, or continuously expanding my knowledge in the ever-evolving tech landscape.
Expected Graduation: December 2025
Cumulative GPA: 3.70
Building and maintaining custom Shopify e-commerce solutions using JavaScript, JSON, HTML/CSS and Liquid. Developing interactive product customizers and creating responsive designs across desktop and mobile. Optimizing website performance and translating business requirements into technical implementations.
Assist 100+ students in understanding core AI/ML concepts, including search algorithms, reasoning, and machine learning. Guide students through programming assignments in Python, focusing on AI applications such as natural language processing, game theory, and neural networks. Collaborate with instructors and TAs to identify common student challenges and improve course materials.
Conducted research on generative models for predicting materials' structure and properties. Developed scripts to visualize structures and optimized model performance using subsets of data and Langevin dynamics steps. Collaborated on analyzing performance metrics including RMSE and Match Rate.
Oversaw student staff work, conducted facility inspections, and performed maintenance tasks. Trained staff on equipment installation and maintenance while ensuring compliance with safety protocols. Led priority repairs during summer conferences and prepared buildings for occupancy.
Designed data-driven inventory management solutions, reducing stockouts by 15% and enhancing data processing speed by 30%. Developed an AI-driven predictive model for inventory forecasting, reducing overstock by 20%. Collaborated in Agile teams to create intuitive user interfaces using React.
Spearheaded data collection efforts across multiple branches using Python. Utilized advanced statistical tools, reducing data processing time by 30% and providing actionable insights. Applied Python and Pandas for in-depth data analysis and cleaning processes.
Technologies and tools I work with
Check out some of my recent work
Custom LSTM model in PyTorch to forecast receipt volumes using historical time series data, with an interactive dashboard featuring dynamic visualizations and parameter tuning.
Developed an interactive product customizer for Shopify allowing customers to design personalized pet collars with various patterns, colors, and text options.
Full-stack web application enabling real-time song requests at DJ events with responsive interfaces for both DJs and attendees using HTML, CSS (Tailwind), and JavaScript.
A text-based RPG game using Convex for game logic, ChatGPT API for dynamic prompts, and DALL-E for image generation.
An Android application aimed at managing food waste and facilitating donations, increasing user engagement in the initiative.
Led the Frontend development of a dynamic application to enhance dealership-used car inventory management with RBT algorithm.
Feel free to reach out for collaborations or just a friendly chat
krishangmittal2004@gmail.com
+1 6087077944
Madison, Wisconsin