f10d6d65a2ef7417f869a2783e1fc4bde624edbc — Ben Sima 1 year, 7 days ago 7e17783
Update resume
1 files changed, 29 insertions(+), 2 deletions(-)

M resume.md
M resume.md => resume.md +29 -2
@@ 8,7 8,8 @@ web: https://www.bsima.me
date: 2018-07-09

Hi! I'm a software engineer currently located in San Diego.
Hi! I'm a software engineer currently located in San Diego (moving to the Bay
Area soon).

By trade, I work on applications that deal with a lot of data; by vocation I
study mathematics and philosophy. My studies have specifically trained my mind

@@ 31,6 32,32 @@ You probably also want to check out my [projects][] page.

## Employment

### Hero Projects

2018 - present

Hero is a media company in L.A. On a part-time basis, I'm developing their
mobile and web apps, which is like Netflix for comic books. Instead of movies
there is a comic book player, which overlays music according to the page of the
comic you're on and guides you through the story. This is alpha stage currently,
but will go live later in 2019. Written in all Haskell using
[Miso](https://haskell-miso.org/) (which is an awesome front-end framework, in
my experience).

### UE Authority

2018 - 2019

UE.co provides car- and home-insurance sales leads to a country-wide network of
salespeople. I was responsible for developing a few data pipelines for use in
their next-gen platform. The service would fetch leads from external providers
or accept a CSV upload of lead data, scrub the data through half-a-dozen
internal services, and deliver the end result to a front-end application which
allowed the salesperson to save the list of leads for later. My services were
written in Haskell and designed to be highly concurrent, handling something like
60k-70k leads per minute. The bottlenecks ended up being the insert operation
into Amazon Redshift, and the third-party APIs.

### Software Engineer, Liaison Technologies

2015 - 2018

@@ 39,7 66,7 @@ I designed and implemented a distributed, streaming, immutable, event-sourced
cloud database for semi-structured enterprise data, plus a few AI-based
microservices for extracting structured intel out of the semi-structured streams
of data in our database. The business goal is to flexibly extract intelligible
data from customers' data banks. Everything is done in Clojure, on a private
data from customers' data banks. Everything was done in Clojure, on a private
cloud infrastructure with Docker containers as deployable microservices.

### Software Engineer, Thermo Fisher