# Joshua Hu > CS @ University at Buffalo | NeurIPS’ 25 | Prev @Algoverse | Full-Stack Dev @UB | Teaching Assistant (CS) | LLM Research & Multi-Agent Systems Location: Syracuse, New York, United States Profile: https://flows.cv/joshuahu Hi, I'm Joshua! I'm a Computer Science student at the University at Buffalo (Class of 2027) concentrating in AI/ML and modeling & simulation. I love building things — whether that's full-stack AI products, developer tools, or multi-agent systems. Right now I'm a Software Engineer Fellow at UB Forge, architecting an AI-powered project management platform, and refactoring cross-university developer tooling for the CSE Department. Previously, I was an AWS AI & ML Scholar (full-ride, selected from ~50K applicants) and a Lead LLM Researcher at Algoverse, where I co-authored a NeurIPS 2025 Workshop paper on multi-agent orchestration. I work across the stack — Python, TypeScript, React, Next.js, PostgreSQL, AWS — with deep experience in RAG, LoRA, LLM engineering, and system design. Outside of tech: gym, cats, traveling, and finding the best food spots wherever I go. Open to Summer 2026 SWE and AI/ML internships — feel free to reach out! ✉️ jchu24@buffalo.edu ## Work Experience ### Software Engineer Intern @ University at Buffalo School of Engineering and Applied Sciences Jan 2026 – Present | Buffalo, NY Refactoring multi-institution code-tracing platform (CSE 115) under guidance of Vercel engineering lead; architecting React, TypeScript, SQLite stack with Docker deployment pipeline to scale from 800+ students accepting 100,000+ submissions to cross-university adoption, with 1 external institution committed. ### Software Engineer Fellowship @ UB Forge Jan 2026 – Present ### Undergraduate Teaching Assistant, CSE 115 @ University at Buffalo Jan 2025 – Present – Supported 453+ students across labs, office hours, and grading; implemented structured debugging workshops that improved mentee exam scores∼20% above class median. – Developed tailored coaching materials for non-English speakers and students with disabilities, reducing average assignment completion time by 30% for supported cohort. ### Founder & Executive director | Data Science and Machine Learning Club at UB @ University at Buffalo Data Science and Machine Learning Club Jan 2025 – Present -Founded and scaled the university's first dedicated Data Science & Machine Learning Club, growing the community from the ground up to 125+ active members in under a year. -Established a strategic vision to bridge the gap between academic theory and real-world application, creating a premier hub for student-led AI/ML innovation on campus. ### AWS AI & ML Scholar | AI Engineer Track @ Amazon Web Services (AWS) Jan 2025 – Jan 2025 – Awarded full-ride scholarship from competitive pool of∼50,000 applicants via national hackathon; completed intensive 12-week AI Engineering program with hands-on training in AWS SageMaker, Bedrock, pandas, NumPy, and scikit learn. – Engineered health insurance claims triage assistant using LLM fine-tuning, FAISS vector indexing, and RAG architecture; automated document analysis across 10K+ claims achieving 82.5% accuracy—15% improvement over baseline keyword search. ### LLM Researcher @ Algoverse Jan 2025 – Jan 2025 | San Francisco Bay Area – Co-authored NeurIPS 2025 Workshop paper (LoRA-Guided PPO for Agent Orchestration), introducing a hybrid LoRA-PPO method that reduced cost-per-success by 12% across 4 multi-agent benchmarks; credited as second author. – Engineered DAG-based multi-agent orchestrator deploying on-demand XML-messaging subagents with vector DB memory, enabling parallel RAG workflows that scaled problem-solving 3×beyond single-context limits while cutting token cost 28%. – Built context-window summarization and embedding persistence pipelines, reducing redundant LLM calls by 40% and maintaining task accuracy above 91% across 200+ web-arena evaluation runs. ## Education ### Bachelor of Applied Science - BASc in Computer Science University at Buffalo Jan 2024 – Jan 2027 ### Bachelor of Science - BS in Biochemistry and Molecular Biology University of Toronto Jan 2023 – Jan 2024 ## Contact & Social - LinkedIn: https://linkedin.com/in/joshua-cong-hu --- Source: https://flows.cv/joshuahu JSON Resume: https://flows.cv/joshuahu/resume.json Last updated: 2026-04-01