WELCOME
My name is Chris S. Murphy, I have 5+ years of Enterprise Sales in Cloud & AI technologies,
closing revenue from $50k-$500k across North America, Europe, and APAC.
I'm certified in MEDDPICC, AI Product Management & AI & BioTechnology from MIT.
I was 1st to Pre-Train the Kikuyu & Luganda LLM's for 15 million Kenyan speakers in 2019.
I'm highly fluent in designing Compound AI Systems,
AI Search/RAG systems, Fine-Tuning Models, Reinforcement Learning, Context Engineering & more.
My current passion is Genomic Language Models, DNA Models and Single Cell Models and the future around Transformer & Multi-Hybrid AI Models for Science.
I consulted for 2016 US Presidential Candidate Gov. John Kasich during the campaign.
I'm looking for a position as an Account Executive or AI Product Manager.
I'm currently leading a team of engineers building OmicsFlow, a BioTechnology AI SaaS company for No-Code Multi-Agent Bio AI Pipelines using Biological Foundation Models &
Reinforcement Learning.
I've founded the company, designed the front-end, back-end and Reinforcement Learning systems, and lead my engineers to put the company into production.
We're currently seeking a Seed Round, but would leave the company behind to find the right position at a great company.
Check out our work at www.OmicsFlow.io
My current corporate position is in Government Technology Sales at SOVRA, a leading eProcurement SaaS Platform for 7,000 governments.
About Me
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Our Best Work Thus Far
In early 2025, I was building standard AI systems for Text and Retrieval when I was inspired by Stanford's release of EVO 2, an Biological AI Model trained across the entire genome and it's potential for new possibilities in synthetic biology. I worked nightly to design a Compound AI System around EVO 2 to develop a personalized mRNA Vaccine Platform for any cancer type that works to predict cancer's evolution, it's immune escape trajectory & then vaccinatating against it.
I've presented the research at Harvard and will be donating our code to the University.
Check out our Deck for the Project Here!
FEATURED AI PROJECTS
Cloud & AutoScaling AI Pipelines that use
Parameter Efficient Fine-Tuning to Fine-Tune multiple AI Models simultaneously with the same data and find the highest performing model to then push that model to your inference container.
We then monitor for data drift and retrigger fine-tuning jobs based on continuous metrics.
User/Application uses an Agent to send a personalized email to somebody based on the users personal preferences.
The Agent works with a Feature Store to pull the users features and preferences, consults a Vector Store to pull information based on the preferences, then sends them to the LLM Generator to construct the personalized email and send it to the user.
This Advanced RAG solution combines RAG with WebSearch to deliver advanced results. We use callbacks to deal with hallucinations or missing retrieval results. When using a
Tree-Based Graph with callbacks you're able to use your Vector Store in combination with Web Search to deliver outstanding RAG Results without hallucinations.
We build a Multi-Agent Workflow using different AI Models for different agentic tasks. Agents pass messages using Pydantic and have access to RAG Vector Stores & Feature Stores.
Once the Agent Tasks are completed, information is sent to an LLM Ensemble to generate an ensemble answer for relevancy.
For Ensembling, we use the same AI Inference Stack and Server as Amazon, Doordash, and Amazon.
This Multimodal AI architecture on Azure uses Agents with Memory to interact with Multimodal cloud services to convert text to images & audio to text. These services call our data-stores to pull and push transformed data back and forth for the User. This allows the user to transcribe financial
audio data into text and then summarize for use.
Climate Hub
My first company & Product Lead, Climate Hub was designed & launched in 2023.
We're a B2B2C Marketplace for Renewable Energy Products & Services built on AWS using GraphQL API's, Multi-Table DynamoDB, OAuth, Search & more.
We're at www.Climate-Hub.io!
UX for Generative AI
Applications
Deep Learning Recommendation Systems
LLM & AI Inference at Scale
Parameter Efficient
Fine-Tuning
RECENT NEWS & CHRIS BLOG
5/14/2024
GPT-4o
GPT-4o (“o” for “omni”) is a step towards much more natural human-computer interaction—it accepts as input any combination of text, audio, and image and generates any combination of text, audio, and image outputs.
05/09/2024
The Rise of Anyscale
By 2016 & 2017, I was heavily invested in learning about technologies in the Apache OpenSource ecosystem, primarily because it had cristened and spawned so many incredible tech companies up to that point
5/08/2024
Mutli-Document Agentic RAG