index

§ What?

This is styled more like a formal resume, which may or may not be what you seek:

For something a bit less formal, with more tangents and personal details: see here
For an HR-software-friendly, PDF version: see here
For my LinkedIn: see here

BSe/MSe in Computer Science, 3.7 GPA, Dean’s List
Lead TA for graduate Distributed Systems and undergraduate Discrete Math
Studied German Literature, Language, and History in Berlin for a semester

Yogi turns consumer feedback (reviews, social, etc.) into actionable insights for F500 CPG companies.
Most senior engineer, hired to help steer the eng org through a critical phase of growth ($1mm -> $10mm ARR)
Helped 10x the performance and reliability of the products’ critical paths (charting, alerts, filtering)
Eager contributor to product (everything from design and workflows to roadmapping) and broader eng culture
Helped junior and senior engineers grow into high-agency, enabling some of their best work!
Tools: Python/FastAPI/Peewee+SQLAlchemy, OpenAI/Anthropic, PostgreSQL/ClickHouse, AWS, React/TS

Built an on-call vet telehealth service, emergency insurance, a digital RX pharmacy
Scaled 0-1 and 1-10 with a team of experienced players after securing a $100mm valuation Series A
Essential contributor to hiring, product/business development, engineering culture
Tools: Python/Django/GraphQL, serving data from PostgreSQL/RabbitMQ to React/TS

SWE on the Broker Engineering team, we built web-based tools for insurance brokers, and the complex infrastructure needed to attribute policies and pay broker commissions
Took ownership over critical path of our broker systems: appointments, policy attribution and commissions
Architected and implemented expansions of this system into Medicare Advantage, Cigna partnerships
Led build-vs-buy decisions, built out a new eng team around broker commissions
Eng onboarding leader, blog editor/contributor, intern mentor, interviewer, design review and tech talk contributor
Promoted every major cycle: from “New Grad” to “Senior” in 2 years
Tools: Python/Flask/SQLAlchemy, gRPC/Kafka/PostgreSQL, React/Flow, Git/Phabricator, Aurora/Mesos

Two small, Computer Vision startups: played with deep learning (CA) and “3D structure from motion” (Remote).
TD Securities, NYC: DevOps-style work modernizing infrastructure for a derivatives-trading team
Consensys, NYC: contracted to do more DevOps-style work for a portfolio company
Oscar: Fell in love with the eng culture and ambitious environment :)

A “home lab”, with an RSS reader, kanban board, secret manager, pi-hole, git server, vpn behind nginx
A personal finance OS, using GNU Ledger, sed/awk, gnuplot, Python parsers and generators
Personal site, stitched together with markdown/sed/pandoc, S3/Cloudflare… maybe where you found this doc!
Gallery + shop for my friend’s dance photography side hustle. React/Python/SQLite Password: DAC2024!
I love to hike (3500 Club #4466), climb, run, cycle, cook/bake, read, play guitar, fish poorly, and support Tottenham

I love to learn new tools²! These are the ones I’ve had the opportunity to use most.

Bold means I’m intimately familiar, italics mean I use it once per quarter. Plain connotes exposure.

languages: Python (SQLAlchemy, Flask, Django), Go, JS (React, d3), C/++, Java; Elixir/Nim/Zig aspirant
databases: PostgreSQL, ClickHouse, MySQL, Kafka/RabbitMQ, SQLite3, BigQuery, MongoDB
tooling: vim, aider, gRPC/proto3/GraphQL, uv/Make/Bazel, Nginx, Prometheus, Hashicorp-everything
puffy sky things: AWS/Digital Ocean/GCP, Kubernetes/Mesos, terraform

I was laid off in my first week as a Production Engineer at Meta, in 2022/11. 1 week was enough to see this startup guy was up to no good!↩︎
Regarding tools… everywhere I’ve worked, “just ask Adam! // have you asked Adam?” has become a running joke. At various stages of my career, I’ve been known as “The $THING guy”, where $THING has been the things in bold! Not just because I know these tools or possess a shocking degree of patience for learning, but also because I simply must help you learn them, too! :)↩︎