Dan V.

I was using OpenAI and LLMs before it was cool, I was smitten the first time I saw my first chat completion, and have been obsessed ever since learning everything I can to leverage the technology. I'm am a generative AI driven Data Analyst and Process & Integration Specialist with lots of experience and interest in prompt chaining, agents and text to sql. I have a passion for technology. I have an entreprenueral spirit cofounding an e-commerce business, closing a failed manufacturing business and opening a more recent boutique hotel. I am very passionate about helping businesses achieve AI driven outcomes. - Experienced in project development, scoping, prototyping ideas and creating proof of concepts. - I am proficient with Python, SQL. My go to libraries are beautifulsoup, langchain, pandas, numpy and fastapi along with many others. - I have 2 years of prompt engineering, data engineering (ETL/R-ETL), Fine-tuning. - Expert in API integration, data processing, data engineering, and AI solutions. - Skilled in process analysis, automation, and workflow design from idea to execution. - I worked full time for a technology startup that experienced explosive growth going from 3.5 million when I first started to over 50 million in revenue without any external funding in just a couple of months. I learned a lot from this experience and got sit right next to our CEO for the first year and a half and watch him up close struggle and learn. It was an incredible experience. - I've spent over $45,000 on gpt-4, gpt-3.5-turbo and fine-tuned gpt-3.5 models on various projects. - Experience Langchain, llamaindex, pinecone and RAG ETL pipelines. - Experienced in finetuning and data preparation. web data extraction and the automation of data classification - I have experience with Snowflake, Segment.io, Intercom, Hubspot, Stripe, Lattice, Slack, OpenAI - I have some healthcare experience working extensively on a Telehealth integration using SMART on FHIR Epic integration in the App Orchard. - Familiar with integration tools like tray.io, make and n8n. And UI tools like Retool, Airtable(I've built at least 100 different bases over the last 10 years) and Bubble.io. I've typically use heroku or railway for hosting python applications but I am currently learning AWS CDK. My perspective and experience with process management is that automation of a process is the magnification of a process, for better or for worse. generative AI on the other is merely an accelerant.