Tanmai Kalisipudi

Ashburn, VA
(703) 297—1353tanmai@email.virginia.edu
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Education

University of Virginia
Computer Science & Math, B.A. Aug 2024 — May 2026
Relevant coursework: Data Structures & Algorithms, Artificial Intelligence and Machine Learning, Web and Mobile Development, Discrete Mathematics, Computer Organization/Systems and Assembly Language, Multivariable Calculus, Linear Algebra, Ordinary Differential Equations
Awards/Distinctions: Dean's List, Big Idea Competition Finalist for GradSteps, National Merit Scholar
Thomas Jefferson High School for Science and Technology
Aug 2019 — June 2023

Experience

Software Engineering Intern | Lineaje (startup), San Francisco, CA Summer 2023
  • Spearheaded Lineaje's flagship agentic LLM product and showcased it to over 15,000 professionals at Black Hat USA 2023 in Las Vegas, NV
  • Developed tool using Langchain and fine-tuned LLMs to translate English queries to scan for critical vulnerabilities in a customer's Software Bill of Materials, increasing rates of enterprise customer compliance with White House's Executive Order 14028 by 4x
Intern | Cisco Systems, Research Triangle, NC Summer 2022
  • Worked with in-house researchers/management to optimize shipping crate storage space in COVID-induced supply chain crisis; used Cisco Meraki and Nexus Dashboard in capstone project

Projects

GradSteps: Automated undergraduate degree planner 2024
  • Recruited and led a team of four students to develop/market an automated undergraduate degree planner created using Next.js, MySQL, and Express, streamlining academic planning for 1,400+ weekly active users at 2 universities
  • Implemented cron jobs on AWS EC2 to scrape 112 different university course catalogs using Puppeteer, ensuring database maintained up-to-date course information
TJRides: Carpool ride-sharing platform (Uber for high school students) 2023
  • Enhanced particle swarm optimization algorithm to match drivers and riders in a closed carpooling system, facilitating ~5 rides daily during peak use
  • Deployed routing/driver-matching microservices on AWS Lambda + AWS EventBridge, hosted the React front-end on Vercel, and provisioned the PostgreSQL database using AWS RDS
Electralert: Drowsy driving detection using temporal nodes of electroencephalography 2022
  • Designed a patent-pending system utilizing a Recurrent Neural Network (RNN) to detect drowsiness by analyzing fluctuations in the EEG's theta wave signal relative to the user's baseline

Skills

Languages and Libraries: Python, Javascript, Java, C++, Go, HTML/CSS, SQL, Solidity (blockchain), React, Next.js, Express, Tensorflow, PyTorch, Keras, fast.ai, LangChain, Puppeteer, Cron, TailwindCSS
Tools: AWS, Azure, OpenAI, Git (w/ Github), CI/CD, Docker/Kubernetes, Pinecone, Figma, VS Code