non-global max :(
JD Krasnick
AI/ML engineer and researcher — from classical ML to modern LLMs, I ship systems that learn from, augment, and act on real-world data.
A builder who thinks in models.
I'm an AI/ML engineer studying Computer Science and Operations Research at Cornell. I like taking messy data and black-box models and making them observable, testable, and reliable enough to trust in production.
Beyond that, I'm drawn to the frontier of the field — LLMs, agentic systems, reinforcement learning, and the research pushing all three forward.
When I'm not coding, you'll find me out running on a trail, in the gym, or halfway through the latest YouTube video essay that wandered into my feed.
Where I've been training.
AI Engineer
Order.co- Built offline evals for live offers that raised core product field accuracy to 95%
- Shipped an inline LLM-as-judge online eval sampling ~10% of live parses for real-time, per-field accuracy monitoring in production
- Built a retry/fallback system with bot-block detection and jittered backoff for the vendor product-data scraper, raising recovery from 0% to 82.7% and overall success above 98%
AI Engineer
Generative AI at Cornell- Built an ingestion pipeline that discovers, dedupes, and scrapes news across 14+ providers into a clustered event model
- Built a graph-backed LLM analysis pipeline for Investcorp to classify events, extract geographic context, and assess credit and covenant impacts
Undergraduate Researcher
Cornell University- Developing deep reinforcement learning models to optimize complex queueing network systems
- Applying AI techniques to operations research problems
Financial Software Engineer
Cornell FinTech Club- Built a fintech lending platform with Next.js, FastAPI, and PostgreSQL featuring ML-powered credit scoring
- Implemented credit decisioning engine using logistic regression and gradient boosting models
Research Assistant
University of Pennsylvania- Scraped, cleaned, and pipelined data from websites, Excel files, and PDFs using Python and NumPy
- Produced organized CSV datasets for research analysis, streamlining the data processing workflow
Selected Work
A collection of things I've built and shipped — ML systems, dashboards, and a brain-computer interface.
Investcorp ESG CLO Monitor
Built core services for Investcorp's ESG intelligence platform, including company-targeted news discovery, graph-backed event intelligence, and LLM-generated credit and covenant analyses.
SafeStep
Full-stack pedestrian-routing platform that combines computer-vision hazard detection with accessibility-aware pathfinding to help users choose safer routes.
LoanApproval
End-to-end lending platform combining configurable credit rules, ML default-risk scoring, document extraction, and immutable decision audit logs.
Tech Stack
Technologies and tools I work with to bring ideas to life.
Languages
Python 
TypeScript 
JavaScript 
C++ 
SQL 
HTML/CSS Frontend
React 
Vite 
Streamlit 
React Router AI / Machine Learning
PyTorch 
TensorFlow 
Keras 
Hugging Face 
OpenAI 
MediaPipe 
OpenCV 
FinBERT Backend & Data
RESTful APIs 
FastAPI 
Flask 
PostgreSQL 
SQLite 
ChromaDB 
Supabase 
Pandas Tools & Deployment
Git 
Vercel 
Render Let's build something
that learns.
I'm open to opportunities in AI/ML and software engineering. Drop me a line — I'd love to hear what you're working on.