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David Ellis is listed as Co-Founder and CTO at Alan Technologies at Alan Technologies, based in San Jose, California, United States. AeroLeads shows a work email signal at ieee.org, phone signal with area code 386, and a matched LinkedIn profile for David Ellis.
David Ellis previously worked as Co-Founder and CTO at Alan Technologies and Co-Founder and CTO at Alan Technologies. David Ellis holds Master Of Arts (M.A.), Electrical Engineering from Central Florida (Ucf).
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AeroLeads found 1 current-domain work email signal for David Ellis. Compare company email patterns before reaching out.
Solve Problems So They Remain Solved...But If They Aren't Changing, You Aren't Solving ThemThat's the conclusion I've come to after four years in a startup. The kinds of problems seems to go through several phases.First are the feature debts, things your code should be doing but isn't yet and you had no idea originally that you'd need to do that, so you work hard on that and to meet deadlines you accrue technical debt.The technical debt will continue to accrue until it either causes a fire or you've satisfied all feature needs for a while, and then you can go clean up the code, but again to meet deadlines you'll take some shortcuts and focus on clarity over speed and accrue performance debt.This is the right choice as most code can stay here indefinitely, nowadays, and easily-understood code is easier to develop new features on without accumulating as much tech debt as before. But sometimes the performance debt comes to bite you, especially if the debt is not just at the algorithm-level but the architecture-level (the distinction is mainly on how many LOC are needed to modify it and if it has to cross executable boundaries). It is very easy to replace this performance debt with new feature debt, optimizing the code to only handle the current featureset and then running into a wall the next time you're asked to add in new features and starting this cycle all over again.Capacity planning can help here, by forcing you to run into performance problems early, but I'm not sure if the cycle ever ends until the software has actually matured and no new significant feature development is required.In any case, once some set of software has reached the maturity stage, I'm not the right person for that job. I won't move on to another project until it shows that level of stability (minimal-to-no alerts, feature development that has no architectural impact at all, and predictable capacity planning) but once proven, I will. There are always new problems to solve.
Listed skills include Device Characterization, Software Development, Characterization, Simulations, and 27 others.
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San Francisco Bay Area, US
Built the Marsha AI Programming Language* Simple, markdown-based syntax to describe what a function should do with a few examples of usage to generate working Python code.* Generates code and a test suite for said code, and iterates with the test suite and an LLM until the tests passes.
San Francisco Bay Area, US
Built IaSQL - Managing your Cloud Infrastructure via SQL* Infrastructure as Data - AWS infrastructure represented as PostgreSQL tables and relations/dependencies as simple foreign key joins* Two-way Source of Truth - By creating an idempotent representation of the cloud and database information, coupled with an audit log of database changes, mutations of.
San Francisco Bay Area, US
Built a beta form of the Alan Programming Language - an implicitly parallel, safe programming language* Syntax inspired by Typescript, type system inspired by Rust, exploring the limits of a barely-Turing-incomplete language with the goals of automatically inferring all types at compile time (almost completed) and preventing many runtime errors like.
Menlo Park, CA, US
Worked primarily on backend and devops projects at CarDash.* Implemented many backend (and a couple of web frontend) services in support of exploratory efforts at CarDash.* Implemented automated pricing algorithms for car repair procedures based on historical data and real-time parts pricing.* Implemented scheduled maintenance procedure lookups to.
San Francisco, California, US
Worked on many parts of the core of Uber:The core dispatching system for over a year primarily on scaling and integration of new features between app and backend services.The "Share My ETA" feature for a few months primarily on its data ingest architecture (ported to Kafka from Redis Pubsub).Part of the original UberPool team for 6 months refactoring the.
Research work on Gate Oxide Breakdown and Electrostatic Discharge
Developed internal applications using MS SQL Server, ColdFusion, and Javascript.
First developer and chief architect of technology stack for a friend's stealth startup. Consists of a collection of services accessed via JSON-RPC. These services are Node.js front-ends to MongoDB databases, Solr search engines, ImageMagick, and various Amazon AWS services (EC2, S3, SES).This is coalesced with an Express-based Node.js service that runs the.
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David Ellis works for Alan Technologies.
David Ellis is listed as Co-Founder and CTO at Alan Technologies at Alan Technologies.
AeroLeads has found 1 work email signal at @ieee.org for David Ellis at Alan Technologies.
AeroLeads has found 2 phone signal(s) with area code 386 for David Ellis at Alan Technologies.
David Ellis is based in San Jose, California, United States while working with Alan Technologies.
David Ellis has worked for Alan Technologies, Cardash, Uber Technologies, University Of Central Florida, and Stealth Startup.
You can use AeroLeads to view verified contact signals for David Ellis at Alan Technologies, including work email, phone, and LinkedIn data when available.
David Ellis holds Master Of Arts (M.A.), Electrical Engineering from Central Florida (Ucf).
David Ellis is listed with skills including Device Characterization, Software Development, Characterization, Simulations, Latex, Semiconductors, C, and Experimentation.
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