About
I'm a software engineer based in New York City, currently working at Coinbase on the notification service platform. Previously, I was at Brex, where I built expense management and accounting integrations. I also teach Natural Language Processing as an adjunct professor at CityTech. Outside of tech, you can usually find me playing with my band (check us out!!) or out on the soccer field.
asetoodehnia@berkeley.edu · 908-416-0699 · LinkedIn
View full résumé (PDF)Experience
Remote / New York City, NY
Full-stack and distributed systems work on Iris, Coinbase's internal notification platform: React/TypeScript frontend and Go microservices, Kubernetes (AWS), Kafka, Snowflake, MongoDB, and Elasticsearch. Building LLM-powered automation for template and cohort targeting.
Remote / New York City, NY
Backend systems for spend management integrations with major ERPs. DRI for QuickBooks Online on Empower™; led VAT (NetSuite) and Accrual Accounting (QuickBooks) features and re-architecture of QBO and NetSuite integrations.
New York City, NY
Teach undergraduate Natural Language Processing: statistical NLP, deep learning, and modern language model techniques.
Berkeley, CA
Discussion sections, mentoring, grading and course infrastructure for Berkeley's core Data Structures course.
New York City, NY
Equities Synthetic Products: research on dividend projection data (Russell 3000), Python analysis and model proposals. FICCS Strats: framework for Bond Future Invoice Spreads (Slang, Java).
Sunnyvale / San Francisco, CA
ML for Modulus Trusted Data Platform: LSTM RNNs for power prediction and anomaly detection on wind farm time series data.
Education
Berkeley, CA
Bachelor of Arts in Mathematics and Computer Science.
Skills
Languages: Go, TypeScript, Kotlin, Python, SQL
Frontend: React, TypeScript
Infrastructure & Data: AWS, Kubernetes, Kafka, Snowflake, MongoDB, PostgreSQL, Elasticsearch
Machine Learning: PyTorch, TensorFlow, Scikit-learn, NLP, LLMs