Varun Kiragi.
Software Engineer
About Me
I'm a software engineer with a passion for building polished frontend and fullstack applications that deliver real value to users. I enjoy designing clean interfaces, architecting efficient systems, and tackling complex technical challenges with thoughtful solutions. My interests span web development, AI integration, and creating tools that are both impactful and intuitive. I care deeply about code quality, performance, and crafting experiences that feel seamless and purposeful.
Education
Master of Science in Computer Science
Georgia Institute of Technology
Specialization in Machine Learning
- Relevant coursework: Machine Learning, Statistical Learning, Data and Visual Analytics, Reinforcement Learning
Bachelor of Science in Computer Science
University of California, Davis
- Relevant coursework: Algorithms, Databases, Probability and Statistics, Computational Linear Algebra
Work Experience
Software Engineer Intern
The Honey Jar
- Led the development of a Coin Flip game dApp on Berachain, integrating smart contract interactions with a Next.js frontend and Tailwind CSS, providing users with an interactive and pleasing experience.
- Optimized smart contracts for NFT projects, improving gas efficiency by 15% and increasing user interactions by 20% through enhanced dApp features and seamless blockchain integration.
- Worked with and debugged an indexer for tracking blockchain transactions, enhancing data retrieval and analysis capabilities for blockchain-based activites, resulting in improved user engagement and quest completion monitoring.
Software Engineer Intern
Teamcal AI
- As the sole developer on this team, I engineered a cutting-edge voice assistant bot using React Native's Speech Recognition API and custom algorithms, enabling users to manage schedules via voice commands, resulting in overwhelmingly positive feedback on app accessibility
- Spearheaded bug-fixing initiatives, significantly reducing app crashes and improving overall stability
- Implemented robust error handling and monitoring practices, resulting in enhanced application performance and user experience
- Conducted regular code reviews, refactored legacy components, and introduced a comprehensive testing strategy, substantially enhancing code quality and minimizing regression bugs across multiple app releases.
Software Engineer
MyAIChef
- Optimized web scraping algorithms in Python using pandas and Beautiful Soup, achieving a 20% reduction in execution time, leading to streamlined data acquisition processes, facilitating more efficient data updates and improving system performance.
- Revamped the app's interface, done in TypeScript and React Native, enabling smooth navigation, and incorporating user friendly input features, resulting in an increase in user satisfaction.
- Successfully implemented data handling improvements, leading to a reduction in execution time, which significantly boosted system performance and overall user engagement.
Featured Projects
MailFind
MailFind is a full-stack intelligent email search tool that uses natural language queries to find messages quickly and accurately. It combines GPT-powered query parsing with vector similarity search, Google OAuth integration, and a Chrome Extension UI for seamless Gmail access. Built with FastAPI, React, and Supabase, it delivers fast, structured results through a polished, AI-driven user experience.
Stock Sentiment Analyzer
Built a real-time sentiment pipeline simulating 10,000+ financial tweets/min, filtering spam and extracting $TICKER symbols with >98% accuracy. Applied VADER sentiment analysis and aggregated results using Spark Structured Streaming with 5-min sliding windows updated every minute.
Stock Screener & Valuation Tool
Developed an interactive web app to analyze public stocks using real-time data from Yahoo Finance. Built a customizable 2-stage DCF model with sensitivity analysis for dynamic intrinsic value comparisons.
Get In Touch
I'm currently open to new opportunities. Whether you have a question or want to connect, please feel free to email me.