Personal details

Moiz R. - Remote full-stack developer

Moiz R.

Senior Software Engineer - Tech Lead
Based in: 🇺🇸 United States
Timezone: Central Time (US & Canada) (UTC-5)

About

I believe no technical problem is too big or too small if it makes an impact on the lives or business of others. I'm something of a bug exterminator and find a lot of enjoyment in fixing things, almost as much joy as I find in building fast MVP's for real-world problems.

For the past 8 years, I've shaped and built production-scale apps on web and mobile for early-to-mid stage startups, 3 of which went through YC and were well-funded. I've worked on engineering teams at companies as big as Uber and Salesforce, and as small Spiceworks (~300), Umbel (~30), SparkCognition (~12), and TrustedFor (3), myself being the first employee. I also worked as a Product Manager for Gigster in its first year taking over 50 projects to successful completion before starting my own agency.

Work Experience

Senior Software Engineer
Biodock | Jun 2023 - May 2024
Python
TypeScript
React
GraphQL
MobX
HTML Canvas API
Express.js

Shipped new AI Detect product, wrote all the web-side code for it. Product is a canvas-based platform, so tons of geometry and math. Raised effeciency, moved computations to web worker, or separate thread on express server. Took a lot of ownership over the UI, polish, responsiveness, etc.

Senior Software Engineer
Dover | Jun 2022 - Apr 2023
Python
Django
React
Material-UI

Was senior engineer on platform team. Mentored and trained junior engineers, rebuilt Stripe integration to be more durable and created new full self-serve payment model. Built recruitingemails.ai, an AI recruiting email generator as a hackathon project for lead gen, peaked at #3 on ProductHunt.

Projects

Zyper (YC W18)
Python
Flask
React
Redux
Express.js
Zyper is a machine learning-led community marketing tool that enables brands to identify and engage with the top 1% of their social following, turning them from passive followers to active advocates. These brand fans create authentic and emotive content, scaling peer-to-peer advertising in a unique way by uplifting market voice, engagement and social conversion. Neither micro-influencers nor bloggers, brand fans are real, social-savvy consumers who influence their immediate peer group and immerse themselves in your brand ecosystem. We target them at scale to give you the equivalent reach of one influencer but with the value of repeat content, authenticity and higher engagement.
TrustedFor (YC S19)
Python
Flask
PostgreSQL
React
Sketch
We're building a LinkedIn 2.0 where user profiles are based on credible recommendations, much more curated, above and beyond schools, jobs, and a resume. Users recommend people they trust by answering questions like Who would you hack a product MVP together with over a weekend? or Who are designers you'd trust to benchmark design talent? or Who are investors that have incredible empathy for founders?, etc. We are building the trust graph of the world: who trusts whom and in what context.

Education

The University of Texas at Austin
Bachelor's degree・Mathematics
Aug 2013 - May 2017
The University of Texas at Austin
Bachelor's degree・Computer Science
Aug 2013 - May 2017

Certifications & Awards

AWS Technical Essentials
Amazon | Jul 2021