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I am Pranav

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Thanks for stopping by! I love bringing ideas to life through technology and creativity. Whether it's building seamless digital experiences or solving complex problems, I'm passionate about making things that are both useful and enjoyable. My projects reflect a mix of curiosity, innovation, and a commitment to doing meaningful work. Take a look around, and feel free to reach out if something sparks your interest—I'd love to connect!

Passionate about bringing ideas to life through technology and creativity. I build seamless digital experiences and solve complex problems with innovation and commitment.

Professional Journey & Education

My Professional Journey

July 2024 - Present

Software Engineer Resident

Headstarter AI

Developed AI-powered applications, integrating LLMs, RAG, NLP, and real-time analytics into scalable systems.
Built AI-driven platforms, including: Profscore – A professor rating platform leveraging vector search & RAG-based recommendations.

PantryPal – An AI-powered recipe planner automating meal suggestions & reducing manual effort by 95%.
LLM Evaluation Platform – A full-stack tool to benchmark GPT-4, Llama-70B, and Mixtral, optimizing cost & response time.
Led AI fintech research, creating a Market Anomaly Detection system to identify financial insights.
Developing an AI Chrome Extension to enhance productivity through context-aware automation.
Collaborated with industry experts from Google, Y Combinator, Stanford, and Amazon, gaining insights into AI & scalable system design.

Tech Stack: Next.js, React, TypeScript, Tailwind CSS, Node.js, Express.js, Firebase, AWS, GCP, MongoDB, PostgreSQL, Pinecone, Supabase, Puppeteer, Cheerio, Stripe

July 2024 - December 2024

Software Engineering Intern

TeammateME

Developed and maintained the Next.js web platform and React Native (Expo) mobile app, shipping new features and UI/UX improvements.
Optimized site performance by minifying CSS and JS, improving load times and SEO despite working with a large, complex codebase.

Enhanced search visibility by refining metadata, improving content structure, and implementing best SEO practices.
Collaborated with a small, fast-moving team, contributing to design improvements, debugging critical issues, and ensuring smooth frontend-backend integration.

Tech Stack: React.js, Next.js, Node.js, SCSS, Expo, React-Native, SEO, Agile Methodologies, Git

September 2023 - December 2023

App Developer lead & Scrum Master

Capital One

Led front-end development and served as Scrum Master for a 6-member Agile team, developing an innovative iOS banking app with gamification elements using Swift and SwiftUI.
Implemented Agile methodologies and managed sprints using JIRA, reducing project timeline by 15% and increasing team productivity by 10%.

Designed and executed an innovative UI/UX using Figma, increasing user engagement by 20% and customer satisfaction by 10%.
Integrated AWS services and optimized MongoDB queries for scalable backend solutions, demonstrating full-stack capabilities.
Orchestrated daily stand-ups, sprint planning, and retrospectives, optimizing team workflows and fostering innovation.
Successfully delivered the project 15% ahead of schedule while maintaining high code quality and team cohesion.

Tech Stack: Swift, FIgma, MongoDB, Node.js, Agile Methodologies, JIRA

June 2022 - August 2022

RPA Intern

AiRo Digital Labs

Engineered automation programs using UiPath software, VB.NET, and RE Framework to reduce human interaction, save time, and decrease stress associated with tedious administrative and accounting tasks.
Developed and implemented RPA solutions, streamlining business processes and reducing manual task execution by 30%, saving 20 hours per week for the operations team.

Created an automated Invoice Processing System that matches incoming invoice orders against pending purchase orders, significantly enhancing operational efficiency and reducing errors before final Accounts Department processing.
Cultivated an in-depth understanding of UiPath software and Robotic Process Automation through a month of intensive training, applying this knowledge to assigned tasks and projects.

Tech Stack: UiPath, VB.net, RE Framework

Education

Bachelor of Science in Computer Science (Distinction)

University of Wisconsin, Madison (January 2022 - May 2024)

Relevant Coursework: Data Structures (CS 300, 400), Algorithms (CS 577), Intro to Operating Systems (CS 537), Building User Interfaces(CS 571)

Bachelor of Technology in CCE

Manipal University, Jaipur (transferred to UW) (September 2019 - December 2021)

Relevant Coursework: Object-Oriented Programming, Database Management Systems

My Recent Works

Here are some of the projects that I have worked on:

Featured

Captionator

AI-powered caption generation app available on iOS App Store and soon on Google Play. Analyzes images and videos to generate creative, engaging social media captions with customizable tones and viral potential scoring.

NeuroLens

An AI-powered tool for brain tumor classification using Xception and custom CNN models, with explainable predictions for enhanced medical insights.

Calmify

An AI-powered web app providing personalized emotional support flashcards, utilizing facial emotion detection for real-time mood analysis..

Phonicsjoy

An interactive web app that generates personalized phonics stories, making learning fun and engaging for children and educators alike.

ChatterBox

A real-time messaging platform inspired by Discord, built with TypeScript, Next.js, and Convex for seamless connections and interaction.

Pull Request Buddy

An AI-powered automated pull request review assistant that enhances code quality with multi-language support and GitHub integration.

AI Chrome Extension

A Chrome extension that provides AI-powered text suggestions using Cerebras' Llama 3.1-8B model and Google's Gemini Nano, built during the Headstarter Fellowship to deliver smart, context-aware completions in browser text inputs.

Churn Crunch

Built a customer churn prediction app using machine learning and Groq API, offering personalized retention strategies.

Market Anomoly Detection

Early warning system for detecting potential market crashes using machine learning and LLM-powered strategy generation. Implements multiple ML models for anomaly detection and automatically generates investment strategies using Groq API, complete with risk management and performance analytics.

LLM Evaluation platform

A full-stack web application for comparing and analyzing different Large Language Models (LLMs) in real-time. Built with Next.js, TypeScript, and Shadcn/UI, it features interactive dashboards powered by Recharts for visualizing model performance metrics including response time, token usage, and cost analysis.

Profscore

An AI-driven platform that allows students to search and filter professors by ratings and popularity using Next.js,Pinecone, and OpenAI.

IntelliAid

A chatbot for TrendyThreads, leveraging AI and AWS Bedrock to provide real-time customer support and enhance user satisfaction.

PantryPal

A pantry management system that offers AI-powered recipe suggestions and image recognition features to simplify kitchen inventory tracking.

Monster Rewards

A gamified iOS banking app that merges finance with fun, boosting engagement and satisfaction.

ScrollHub

A sleek, Material-UI driven web interface for effortless navigation and seamless scrolling.

My Skills

I have a strong foundation in software development and have worked on a variety of projects. Here are some of the technologies that I have worked with: