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lilbillbiscuit

Student Developer Creator

Hey, I’m a student at University passionate about systems development, AI, photography, and filmmaking.

About Me

Hi

👋

I am

Bill Qian

BS/MS in Computer Science at University.

Background in competitive programming (USACO, ICPC), mathematics (USAMO, Putnam), and full-stack web development.

Currently exploring system performance optimization and NLP research.

Experience

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R&D Software Engineering Intern
The New York Times

Jun. 2024 Nov. 2024
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Research Assistant
Gerstein Laboratory, Yale University

Dec. 2022 Present
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Software Engineering Intern
DeepMedia AI

Jun. 2023 Dec. 2023
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Software Engineering Intern
Thomas Ho Company Ltd

Jun. 2021 Aug 2021

Education

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MS in Computer Science, GPA: 3.93
Yale University

Aug. 2022 May 2026
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Graduate, GPA: 4.57
Carmel High School

Aug. 2022 May 2026

Technical Skills

Languages

python_919852
Python
letter-c_6819125
C
c_6132222
C++
java_919854
Java
GOOO
Go
scala_919834
Scala
JAVA-SC
JavaScript
database_4248443
SQL
css_919826
CSS
html-5_5968267
HTML
php_919830
PHP
bash
Bash

Frameworks & Libraries

node-js
Node.js
atomic-symbol_15697428
React
TensorFlow-icon
TensorFlow
PyTorch
PyTorch
Kafka
Kafka
Linux-UNIX
Linux/UNIX
Redis
Redis
CUDA
CUDA
Metal
Metal

Developer Tools

AWS
AWS
Azure
Azure
Google-Cloud
Google Cloud
Kubernetes
Kubernetes
docker
Docker
huggingface
HuggingFace
Git
Git
ci-cd
CI/CD
virtualization
Virtualization

Research & Publications

01

BioCoder: A Benchmark for Bioinformatics Code Generation with Large Language Models

Pre-trained large language models (LLMs) have significantly improved code generation. As these models scale up, there is an increasing need for the output to handle more intricate tasks and to be appropriately specialized to particular domains. Here, we target bioinformatics due to the amount of domain knowledge, algorithms, and data operations this discipline requires
02

ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

Despite the advancements of open-source large language models (LLMs), e.g., LLaMA, they remain significantly limited in tool-use capabilities, i.e., using external tools (APIs) to fulfill human instructions. The reason is that current instruction tuning largely focuses on basic language tasks but ignores the tool-use domain.

B & O

Marketing site design and build

Cozmetic

Marketing site design and build

Xendou

Marketing site design and build

Blvck

Marketing site design and build

Testimonials

Let's work together ✌
Let's work together ✌
Let's work together ✌
Let's work together ✌
Let's work together ✌
Let's work together ✌
Let's work together ✌
Let's work together ✌

It's time to talk about your project.

Let’s embark on creative journey together by shaping a visual narrative of your brand in the crowded digital space.

Phone

+1 (317) 993-2669

Email

bill.qian@yale.edu

LINKDIN-ICON

Follow Me

Bill Qian