Search and AI
Vector search systems
Search and recommendation work spanning natural-language queries, vector retrieval, large language models, and music discovery.
Browse GitHub
AI, search, and software systems
Dilan Bhat
I build software around search, machine learning, practical web tools, and simulations, with a Northeastern background in computer science, business, and entrepreneurship.
I am especially interested in applying AI to everyday problems: making information easier to find, complex systems easier to understand, and useful products easier to build.
Selected work
A few threads from the work.
Machine learning
Data science and vision
Applied ML projects across computer vision, image segmentation, image compression, and security technology for real-world environments.
Read moreSimulation
BioSphere
A browser-based ecosystem where neural-net creatures inherit traits, adapt to terrain, and turn evolution into something visible.
Open projectNow
The throughline is useful curiosity.
Build for search
I like systems that help people ask better questions and get to the right answer faster, whether through AI, search, or product design.
Prototype with range
My projects have touched APIs, physics engines, neural networks, compression, browser interfaces, and quick experiments that teach by moving.
Stay human outside it
Away from the screen, I make room for reading, swimming, water polo, music, basketball, and appreciating the little things.
Featured experiment
BioSphere is one experiment in that direction.
Creatures sense, move, eat, reproduce, and mutate. Over time, the population responds to terrain, scarcity, seasons, disasters, and selection pressure.
01
Neural-net agents
Behavior emerges from sensing, activations, and inherited brains.
02
Genetic traits
Speed, vision, metabolism, diet, color, mutability, and more.
03
Live analysis
Charts, species clustering, lineage trees, and creature inspection.
About
Practical about shipping, curious about what technology can make better.
I studied computer science and business at Northeastern, with an entrepreneurial bent and a long-running interest in AI that improves daily life. My experience includes search and AI engineering at KMW Technology Consulting, data science and machine learning work at Viken Detection, and product-minded engineering around making options trading more accessible.
Search and language
Vector search, natural-language interfaces, LLMs, Solr, OpenSearch, and Elasticsearch.
Languages and tools
Python, Java/Kotlin, C++, SQL, JavaScript, R, MATLAB, OpenCV, and web fundamentals.
Product instincts
Build things people can actually use, explain what is happening, and keep iterating.
Contact