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 Operations Research and Engineering 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 from 87% 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%
- Built an agentic DOM-interaction flow that set delivery ZIP codes on vendor pages at a 90%+ completion rate, unlocking location-gated pricing for approximately 80% of vendors
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- Implemented PPO to learn routing and scheduling policies for multiclass queueing networks
- Developed a web-based discrete-event simulator with pluggable scheduling policies and Gym-style RL environments, validated against M/M/1 and M/M/c closed-form results
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
Systems for evaluating AI agents, researching adaptive models, and turning messy real-world workflows into dependable software.
Agent Arena
Adversarial evaluation harness that gives frontier coding agents the same task, then stress-tests their patches through executable attack-and-repair rounds before a human chooses what ships.
Mechanistic Routing
Research prototype for budget-aware LLM adaptation, using a counterfactual critic to route among prompt, activation-steering, and LoRA interventions without exhaustively running every candidate.
Discrete Event Simulator
Interactive queueing-network simulator with a drag-and-drop canvas, WebSocket streaming, pluggable scheduling policies, and Gym-style environments for reinforcement-learning experiments.
Lead Surfacer
Client-facing discovery and enrichment pipeline that collects candidate domains, filters them with batched LLM classification, crawls promising leads, and serves a reviewable queue of scored results.
Internship Notifier
Serverless internship tracker that polls public job feeds, deduplicates openings, and sends push alerts and email digests without a continuously running server.
Cornell Lab Matchmaker
Research-discovery agent that aggregates faculty and publication data, matches students through semantic search, and generates tailored outreach drafts.
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.