SOFTWARE ENGINEERING / SYSTEMS RESEARCHUIUC · CLASS OF 2026

Advait Tahilyani

01

Selected work

2024 — 2026

NoteTaker

macOS SwiftUI client paired with a local Flask server. Whisper transcribes uploaded audio and Phi-3 (via Ollama) turns the transcript into a structured Word doc — fully offline.

Jan 2024 – May 2025

Roomie Match

HackIllinois web app for college freshmen to find compatible roommates with filters, chat, and recommendations.

February 2024

Illinois Semiconductor Alliance

Software Team Lead. Built wafer-defect classification pipeline using transfer learning with 95% accuracy. Developed 3D Unity game for semiconductor education. Designed RF transceiver using BJTs.

Aug 2024 – Present

CS 124 Course Tutor

Held office hours for 200+ students on Kotlin and Android development. Supported intro CS coursework at UIUC.

Jan 2024 – Dec 2025
02

Experience

Glance

Software Development Intern

June 2024 – August 2024
  • Built web solutions using Java Spring Boot, React.js, Redis, and PostgreSQL, serving 4.5M+ monthly active users
  • Deployed features and performance improvements to Roposo Clout e-commerce platform
  • Designed search autocomplete with Redis caching, reducing response time by 60%
  • Configured Confluent Kafka for real-time data streaming across distributed systems
JavaSpring BootReactRedisPostgreSQLKafkaDockerAWS

Ernst & Young LLP

Tech Consulting Intern

June 2022
  • Led implementation of Microsoft Dynamics 365 for a Fortune 500 client, improving case resolution by 45%
  • Designed ML model using NLP to auto-assign support cases with 89% accuracy
  • Developed automated workflows reducing manual case assignment by 70%
MS Dynamics 365Machine LearningNLPPythonAzure ML

Microsoft Technology Center

Virtual Student Developer

June 2021
  • Developed TensorFlow model to classify lettuce plants with 95% precision for disease detection
  • Designed coordinate transformation system for agricultural field grid mapping
  • Created scalable solution to reduce crop loss by 30% through early disease intervention
TensorFlowComputer VisionPythonOpenCVAzure
03

Research

Adapt Lab

Research Assistant

May 2025 – December 2025
  • Designed a rule-based DNN operator fusion layer for Google's XLA compiler
  • Used mapping-type taxonomy to reduce compilation latency and improve kernel performance
XLADNNCompiler OptimizationKernel Performance

Shajahan Lab

Research Assistant

January 2025 – May 2025
  • Trained YOLOv8 segmentation model to detect corn ears in agricultural footage
  • Implemented object tracking system for automated yield estimation
YOLOv8Computer VisionObject TrackingAgricultural AI
04

Education

University of Illinois at Urbana-Champaign

B.S. Computer Science, Minor in Electrical Engineering

GPA: 3.98Expected December 2026James Snyder Memorial Award (2026)James Scholar HonorsDean's List (2023–2026)
05

Skills

Languages

C++CJavaJavaScriptPythonKotlinSwiftTypeScript

Frameworks

ReactReact NativeNode.jsExpressNext.jsTensorFlowUnity

Tools

AWSDynamoDBPostgreSQLRedisMongoDBGitDockerKafkaElasticsearch

Focus Areas

Machine LearningComputer VisionDistributed SystemsCompiler DesignMobile Development
06

About

CS student at UIUC with a minor in Electrical Engineering. I build things across the stack — from parallel computing frameworks and compiler optimizations to mobile apps and ML pipelines. Most recently, I shipped internal platform tooling at Amazon; I currently research high-performance distributed systems at the Parallel Programming Lab.