Portfolio Album
Rishabh's Portfolio
Rishabh Singh
About Me
I'm a Computer Science student at the University of Washington with experience across software engineering, machine learning, systems programming, and low-latency development. I’ve built full-stack applications, backend microservices, ML pipelines, and performance-focused systems in research labs, startups, and internship settings.
I'm currently looking for Summer 2027 and Fall 2026 internships in Software Engineering and Quant Developer roles.
Featured Projects
#TitleCategoryDuration
1
Low-Latency Limit Order Book Simulator
Price-time priority matching engine with p50/p99 latency benchmarking
C++ • Multithreading • Lock-Free Queues • Linux • perf
Systems
3:10
2
Calendub - UW Club Discovery Calendar
MERN-style club discovery and event platform presented to 500+ students
Python • MongoDB • Firebase • OpenAI
Web Dev
2:58
3
Leetcode Learning Extension
2nd Place OSS4AI Hackathon project for coding guidance and learning
React • Supabase • Claude • Clerk
Hackathon
2:22
4
Fish Species Detection/Info App
MobileNetV2 classifier with high-accuracy species recognition
TensorFlow • Python • React • FastAPI • Gemini API
AI/ML
2:52
5
Neuro-Care
Mobile app for dementia patients with adaptive cognitive exercises
React Native • Expo • FastAPI • Python • SQL
Mobile
3:45
6
UW Campus Pathfinder & Friend Locator
Campus navigation and friend tracking with graph algorithms
React • TypeScript • Dijkstra's Algorithm
Web Dev
3:12
7
Sudoku Solver & Generator
Interactive solver and generator for 9x9 and 16x16 Sudoku puzzles
React • Flask • Python • Backtracking
Web Dev
2:30
8
Stock Analysis Assistant
AI-powered financial analysis tool with real-time market insights
React • Python • OpenAI API • yfinance
AI/ML
2:45
9
Spam/Weather Email Classifier
Machine learning classifier for email categorization tasks
Python • Scikit-learn • NLP • Machine Learning
AI/ML
2:15
10
Keploy Open Source Contributions
Contributions to API testing and mocking infrastructure
Go • Docker • Kubernetes • Open Source
Open Source
1:30
Technical Skills Playlist
Programming Languages
C++, C, Python, Java, JavaScript, C#, SQL90%
NoSQL, HTML/CSS85%
Frameworks & Libraries
React, Node.js, Flask, FastAPI, Django88%
PyTorch, Pandas, NumPy, Firebase84%
Tools & Systems
Linux, Docker, Kubernetes, GitHub Actions86%
AWS, Azure, MongoDB, PostgreSQL, GraphQL82%
Career Discography
Amazon Web Services (AWS) - Incoming Software Engineer Intern
Incoming June 2026 • Seattle, WA
Joining the AWS EC2 Platform Team as a Software Engineer Intern, with work centered around C++ and large-scale infrastructure systems.
Joining the AWS EC2 Platform Team as a Software Engineer Intern, with work centered around C++ and large-scale infrastructure systems.
DailyQZ - Software Engineer Intern
June 2025 — September 2025 • Seattle, WA
Built a gamified AI learning app in Python, React, and JavaScript. Supported 1000+ users with Firebase/Node.js microservices, JWT and OAuth auth, reduced latency by 60%, and cut API costs from $30 to $10 per batch.
Built a gamified AI learning app in Python, React, and JavaScript. Supported 1000+ users with Firebase/Node.js microservices, JWT and OAuth auth, reduced latency by 60%, and cut API costs from $30 to $10 per batch.
UW Applied Hearing Science Lab - Machine Learning Engineer Intern
September 2025 — Present • Seattle, WA
Developed ML software for diagnosing hearing loss in infants using EEG testing. Improved sequence prediction accuracy by 14% with LSTMs and Transformers, and reduced training runtime by 35% through CUDA parallelization and batching.
Developed ML software for diagnosing hearing loss in infants using EEG testing. Improved sequence prediction accuracy by 14% with LSTMs and Transformers, and reduced training runtime by 35% through CUDA parallelization and batching.
UW Mobile Intelligence Lab - Machine Learning Engineer Intern
May 2025 — October 2025 • Seattle, WA
Authored a publication on a privacy-preserving in-ear AI agent using Python, LLMs, and Flask. Doubled processing speed from 5 to 10 calls/sec with concurrent API workflows on a UW Linux server and reduced LLM output error by 20%.
Authored a publication on a privacy-preserving in-ear AI agent using Python, LLMs, and Flask. Doubled processing speed from 5 to 10 calls/sec with concurrent API workflows on a UW Linux server and reduced LLM output error by 20%.
EPAM Systems - Software Engineer Intern
June 2023 — September 2023 • McLean, VA
Developed backend services for an internal dashboard using Java, Spring Boot, and SQL, and cut test execution time by 30–40% through Docker-based unit and integration testing with Kubernetes.
Developed backend services for an internal dashboard using Java, Spring Boot, and SQL, and cut test execution time by 30–40% through Docker-based unit and integration testing with Kubernetes.
Academic Albums
University of Washington - Computer Science
Expected Graduation: June 2028 • GPA: 3.73/4.0
Coursework: Data Structures and Algorithms, Systems Programming, Machine Learning, Operating Systems, Distributed Systems, Computer Architecture, Linear Algebra, Statistics, Calculus III
Coursework: Data Structures and Algorithms, Systems Programming, Machine Learning, Operating Systems, Distributed Systems, Computer Architecture, Linear Algebra, Statistics, Calculus III
Highlights & Achievements
Hackathon Awards
2nd place at OSS4AI Hackathon, 1st place (EEG track) at NeuroHackathon, and 3rd place at DubHacks.
Publication
2nd Author on ACL peer-reviewed publication: Reading Between the Lines - The One-Sided Conversation Problem.
Campus Leadership
Perplexity AI Campus Partner, building and promoting initiatives with Perplexity and speaking to 300+ students.
Let's Connect & Collaborate
Looking for Summer 2027 and Fall 2026 internships in Software Engineering and Quant Developer roles