About Me
Hey, I’m Perry, an AI and data engineer who loves working with great people to leverage data and software to solve meaningful problems. I currently lead AI engineering at Digital Iron, building intelligent systems and data infrastructure to power aftersales and the upkeep of heavy machinery using service data.
Before that, I co-founded Fishtail, a trade finance automation platform using supply chain data and data science to optimize back-office operations and de-risk global trade. I previously led data science at Farm Dog (acquired by Deveron), where I built data infrastructure and tools to help agronomists track pest and disease pressure in the field.
Now
I live in Missoula, Montana. In my free time you can find me hiking, climbing, snowboarding and exploring wilderness areas. I’ve recently been interested in and researching the following domains:
- Regenerative agriculture
- Wildfire mitigation
- Supply chain efficiency
- Preventive human healthcare
Experience
- Lead AI Engineer at Digital Iron
- Building the core ingestion and retrieval system to process and structure equipment service data, with resilient multi-model pipelines and a highly configurable evaluation framework
- ML Engineer and Co-founder at Fishtail
- Built a document understanding engine to extract structured data from unstructured documents in any format
- Developed a reconciliation engine to automate trade finance repayments
- Created a global port health index to monitor risk across maritime supply chains
- Lead Data Scientist at Farm Dog
- Built data pipelines and in-field tools to support agronomists with real-time pest and disease insights
- Contract Projects
- Built a configurable Python library to stress test hospital software by simulating complex patient flows across dynamic hospital layouts
- Collaborated with a leading radiologist to develop an image-segmentation model to segment colorectal anatomy and detect lymphoma lesions in medical images
- Optimized slow-performing SQL queries for an EV battery analytics platform, reducing execution times and enabling real-time cost analysis for charging
- Quant Analyst @ Strix Leviathan
- Developed algorithmic trading strategies across a wide variety of cryptocurrency markets
- Analyzed market data to identify trading opportunities and optimize portfolio performance
Personal Projects
- Bird Scooter Nest Generator: Built a web app that uses ML to optimize charging and redistribution locations for Bird scooters
- Reverse Engineering the Walk Score Algorithm: Identified key predictive features behind the Walk Score algorithm to model walkability in Seattle neighborhoods
- Hiking Recommendation System: Created a personalized recommendation engine for hiking trails (think “Netflix for hikes”)
Tech Stack
- Languages & Tools: Python, Go, JavaScript, TypeScript, Bash, Git, Docker
- ML & Data: NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow
- Web & APIs: Django, FastAPI
- LLMs: OpenAI, Anthropic, Llama, Groq, Hugging Face
- Cloud Platforms & Infra: AWS (EC2, Lambda, S3, Batch, RDS), GCP (BigQuery, Vertex AI, Cloud Run), Terraform, Supabase
- Orchestration & Pipelines: Airflow, Dagster, Kubeflow
- Databases: PostgreSQL, MongoDB, Redis, Meilisearch, Weaviate
- Other: Geographic Information Systems (GIS)
Contact
If you’re working on something interesting or want to chat, reach out at perryrjohnson7[at]gmail.com.