Varun Kiragi.
Software Engineer
About Me
I'm a software engineer with a strong foundation in full-stack development and data analysis, with a growing passion for applying these skills to solve complex problems in finance.
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
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.