I am currently a software engineer at the Climate Corporation. I build and maintain scalable, fast, reliable, yet computationally intensive services that deliver weather data to our live front-end applications. I mostly work in Python and Clojure.

Sr. Software Engineer @ At Climate, I work closely with our researchers, both in statistics and atmospheric science. I implement scientific models in production-level services. The challenge is to maintain the algorithm correctness while minimizing response latency and allowing for scaling. We write our back-end services in Clojure and have found it to have nice tools for parallelizing computations. I have contributed to Mandoline, Climate’s own distributed, versioned, n-dimensional array database, which has since been made open-source. I have used Mandoline with DynamoDB backend extensively in our services, which rely heavily on low-latency databases. I run big-scale computations as well data analyses and ingests using Hadoop via AWS EMR. I have designed and written map-reduce workflows both in Clojure/Java (using Cascalog) and Python. From June 2012 to Present (3 years 7 months) Project Intern @ I worked on a team of four people on a two-month project sponsored by the USC Shoah Foundation. I designed and built research tools for geographic data mining and knowledge discovery in a massive collection of tagged video testimony to be later utilized in search engine on Shoah website From June 2011 to August 2011 (3 months) PRUV Fellow - Student Researcher @ I was mentored in my research by Professor James Nolen from the Department of Mathematics. I explored limits of complex stochastic processes using large deviation and ergodic theories and studied methods of approximating stochastic processes by systems of ODEs through simulation. From May 2009 to May 2011 (2 years 1 month) Math Tutor @ I led help room sessions, one-on-one tutoring sessions, and assisted with grading final papers. From January 2010 to August 2010 (8 months)

Bachelor's degree, Mathematics with minor in Statistics and Philosphy @ Duke University From 2008 to 2012 Anna Kuznetsova is skilled in: Python, Clojure, Hadoop, Amazon Web Services (AWS), Data Science, Web Services, SOA, Distributed Databases