christians site

ai/ml/ds

i have joined prime intellect as a member of technical staff. while basically everyone does a bit of everything, some of my focuses are forward deployed and research. in terms of helping others, from companies, academics, our residents, and even solo hackers build environments. as well as come up with new or best ways for people to use environments to train complex agents through reinforcement learning.

i have done a bit of machine learning engineering, fullstack engineering, "ai engineering". primarily stuff to support ml/ai development and deployment.

i now live in san francisco, but i spent about 6 years in san antonio, tx where i went to school studying statistics and data science.

like doing research sometimes.

blog

• breakdown of the grpo objective
• kv cache, post training, and hardware aware algos
• ai from first principles (talk)
• llm evalulations
• audio question answering
• engineer >> scientist
• utilizing vector embeddings
• how to contribute to open source (medium post)
• run a 46B model on your home gpu (medium post)
• train an object detection model on roboflow (medium post)

projects

• kerneltune - training models to write performant triton kernels, dataset and model published
• pip install chatan - use chatan to quickly create synthetic datasets for finetuning with llm generators and class sampling
• realtime omni - omni/multimodal inference server with qwen 2.5 omni or phi 4 multimodal. text-to-text, text-to-speech, audio-to-text, audio-text-to-text, image-text-to-text, audio-text-to-speech
• audio-llama - multimodal adapter for llama to enable paired text+audio inputs
• realtime speech-speech inference - fast stt+chat+tts
• ai notebook - cursor-esque flow in a modern notebook interface
• llm evaluator - prompt+model evals, dual chat comparison, more
• dialstructure - audio transcription, diarization, summarization, classification
• groq-nvim plugin - ai code gen in vim
• lambda labs client - manage gpu clusters with a python client