About

Hi, I'm Jack. I was born and raised in NYC and I graduated from New York University with my bachelor's in computer science.


Some of my favorite experiences came from visiting the Middle East during a study abroad trip. Feel free to reach out at jy3784@nyu.edu.

Jack Yang

Dolmabahçe Palace, Istanbul
10.2023

Experience

AI Fellow @ Gates Foundation

Selected as one of five Gates Fellows (5/4,000) to pursue research and development of AI-enabled platforms for LMICs.

AI Fellow @ Kura Labs x Google

Selected for intensive agentic engineering program focused on building human-agentic enterprise applications.

Software Engineer @ Pulp

Worked on engineering for angel-backed agentic startup focused on rhetorical analysis, the building block for effective marketing and AI intelligence.

Software Engineer @ Angi

Implemented core system that enables Angi's content management platform to serve no-code landing page content within the services taxonomy.

Software Engineer @ Flexible AI-Enabled Mechatronic Systems Lab, New York University Tandon

Developed low-latency motion control algorithms and computer vision models for 6-DoF robotic systems.

Research Assistant @ Social Science Division, New York University Abu Dhabi (Prof. Korhan Koçak)

Conducted experiments in natural language processing, focusing on long short-term memory (LSTM) networks for sociopolitical predictive modeling.

Software Engineer @ People Inc.

Improved the user experience for high-traffic brands with 200M+ monthly visits through contributions to product engineering and business intelligence R&D.

Projects

Agentic System with Distributed MCP Servers

Built a multi-agent system for homebuying assistance using LangGraph orchestrator and MCP servers, featuring specialized agents for budgeting, program matching, and neighborhood discovery.

Corpus Pruning for LLM Fine-Tuning Process

Developed pruning algorithms using k-means clustering and embedding-based scoring to reduce corpus size while maintaining semantic integrity, then fine-tuned open-source models for improved efficiency.