Alexander Bricken

Co-Founder

New York, New York, United States4 yrs 2 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in building safe AI systems.
  • Led deployment of data solutions in Financial Services.
  • Strong background in data science and machine learning.
Stackforce AI infers this person is a Data Science and AI expert with a focus on Financial Services and Product Engineering.

Contact

Skills

Core Skills

Data ScienceMachine LearningData EngineeringClient-facing StrategyWeb App DevelopmentData AnalysisSqlMarketingResearch

Other Skills

AI BootcampsAdobe IllustratorAdobe InDesignAdobe PhotoshopAdobe Premiere ProAgile MethodologiesAgile Project ManagementAlgorithmsAmazon Web Services (AWS)B2C Sales CampaignsBig DataBusiness Intelligence (BI)Business StrategyC++CSS

About

Applied AI Product Engineer @ Anthropic; thinking a lot about language models, focused on product research, and engineering things for customers with Claude. Focused on appreciating the journey and learning as much as I can. See my Twitter (https://twitter.com/ambricken) or website (https://bricken.co) for more information.

Experience

4 yrs 2 mos
Total Experience
1 yr 1 mo
Average Tenure
1 yr 11 mos
Current Experience

Angel investor

Angel Investor

Jan 2025Present · 1 yr 5 mos

  • Angel Investor in empathic.dev, unitbase.co, getplio.com, joinargos.com, thirdspace.com, halluminate.ai

Anthropic

Member of Technical Staff

Jul 2024Present · 1 yr 11 mos · New York, New York, United States

  • Building safe AI systems on the Applied AI Product Engineering team.

Palantir technologies

2 roles

Deployment Team Lead & Account Strategist

Promoted

Jan 2023Jan 2024 · 1 yr · New York, New York, United States

  • Led teams in Financial Services & Insurance to deploy data engineering, data science, machine learning, and generative AI solutions. Converted MM$ contracts with GTM leaders as technical voice in the room.
  • I was also a part of the Account Strat group at Palantir (higher level Deployment Strategists), carving out my own segment of business with Insurance Brokerages.
Data EngineeringData ScienceMachine LearningGenerative AI

Deployment Strategist

Jan 2022Jan 2024 · 2 yrs · New York, New York, United States

  • Engineered robust solutions to hard problems around the world. Primarily acted as a forward deployed engineer with some extra strategy and business accountability.
  • Worked on client-facing strategy and implementation in Financial Services and Insurance. Ran AI bootcamps, oriented teams around solutions to hard problems, worked closely with many different types of customers, and wrote a lot of code.
Data EngineeringClient-facing StrategyAI BootcampsCoding

Hackny.org

Fellow

May 2022Aug 2022 · 3 mos · New York, New York, United States

  • Accepted into a cohort of 16 software engineering fellows working in NYC for various startups across all industries. I am now a participating alumnus of HackNY.

Pleasrdao

Software Engineer

May 2022Aug 2022 · 3 mos · New York, New York, United States

  • PleasrDAO is a leading Decentralised Autonomous Organisation and art collective which acquires iconic pieces of digital and physical art, creates communities around them, and designs incredible experiences in parallel.
  • Built live, interactive web app with NextJS and Typescript, leveraging technologies such as Vercel, Stream Chat, Wagmi, Mux Video, and Zora
  • Brainstormed design, marketing, and revenue models for interactive experiences on and off the web with team of 10 core members
  • Offered governance tokens ($PEEPS) to officially join PleasrDAO as a honorary member after the internship
NextJSTypescriptWeb App Development

Amazon

BI Engineer

May 2021Aug 2021 · 3 mos · London, England, United Kingdom

  • Core Trans Technology Department on the PerfectMile-Content Team.
  • Built 2 automated SQL ETL pipelines and QuickSight dashboards to monitor 47 essential upstream pipeline datasets for PerfectMile, a dashboard that tracks 170+ KPIs for Amazon supply chain performance, helping 40+ team members uncover dependency issues in advance
  • Created Excel reports to provide risk analysis for 17 clusters and 1000+ tables, flagging essential data fields to prevent information leaks
  • Collaborated with data engineers to iteratively refine dashboards and consume relational data using distributed job systems from Amazon Operations
SQLETL PipelinesQuickSightData Analysis

Doughlicious

Project Marketing Manager

Apr 2020Oct 2020 · 6 mos · London, United Kingdom

  • Doughlicious is a start-up that manufactures and sells ready-to-bake gourmet cookie dough.
  • Led 12 B2C sales campaigns via social media promotional videos, guerrilla marketing, and food festival stands
  • Designed various graphics with Adobe Illustrator and PowerPoint to secure £250k ARR Costco and Whole Foods sales deals across the UK
  • Managed HubSpot CRM, WordPress SEO, and social media marketing through Facebook, Instagram, and Google Ad platforms
B2C Sales CampaignsGraphic DesignSocial Media MarketingMarketing

Sk telecom

Contractor Data Science Project Lead

Sep 2019Dec 2019 · 3 mos · Jung-gu, Seoul, Korea

  • Group data science research project for Finnq, SK Telecom and Hana Bank’s joint FinTech venture
  • Researched and created classification model to improve personalised user experience in Finnq FinTech mobile app
  • Generated artificial user data with Excel, manipulated with pandas and matplotlib, and classified with scikit-learn to a 85% degree of accuracy
  • Shared white paper containing research, algorithm design, and strategy with MD and 4 team members to inform Finnq’s future implementation
Classification ModelData GenerationUser Experience ResearchData Science

Clear ai

Data Scientist

Jul 2019Jul 2019 · 0 mo · London, United Kingdom

  • Clear AI was a start-up working with companies such as TradeShift to optimise supply chains globally.
  • Estimated distances of 1000+ truck driver routes to a ~90% degree of accuracy for supply chain logistics partner business
  • Cleaned data with pandas, visualised with Folium & NetworkX, clustered with hdbscan & scikit-learn, and demonstrated results with matplotlib
  • Designed and implemented pipeline for the team to test estimation technique efficiencies in reducing API calls
Data CleaningData VisualizationPipeline DesignData Science

Sparrow

Research Fellow

Jan 2019Mar 2019 · 2 mos · San Francisco Bay Area

  • Sparrow (now Momentum) is an application that ties moments in your life to automatic donations. It provides a user-friendly experience that aims to simplify and habituate effective giving to positively impact important philanthropic causes around the world.
  • Responsible for customer validation, user testing, data analytics, and product-market fit research to help best direct the startup’s efforts
  • Onboarded 50+ beta testers and collected valuable feedback
Customer ValidationUser TestingData AnalyticsResearch

U.s. house of representatives

Summer Intern

Jul 2017Aug 2017 · 1 mo · Longworth House Office Building, Washington D.C.

  • Internship in the office of Congressman George Holding (NC 2nd District).
  • Responsible for giving tours of the Capitol to visiting constituents, delivering important information to members of Congress, and processing and writing response letters to constituents re their concerns with current legislation
  • Attended numerous congressional and educational hearings through engagement with Capitol Hill intern program

Quintessentially

Market Research Analyst

Feb 2017Feb 2017 · 0 mo · London, United Kingdom

  • Business development for “Q One” project, the world’s largest luxury super-yacht worth over £250 million
  • Performed market research, refined the business and financial model, and created a PowerPoint deck to synthesize project and super-yacht industry information; this was referenced in an executive meeting I attended

The garage soho

Project Intern

Jul 2016Jul 2016 · 0 mo · London, United Kingdom

  • Designed graphics and poster for an art competition marketing campaign
  • Reviewed over 100 resumes to suggest top candidates for an open position at the firm; one of my top five candidates was hired and still works at The Garage Soho

Hive learning

Project Intern

Jun 2016Jun 2016 · 0 mo · London, United Kingdom

  • Researched and delivered information on the competitive edtech market in the UK
  • User-tested to help debug code
  • Participated in executive committee meetings to provide student insight into K-12 education
  • This internship was hosted through Blenheim Chalcot's (https://www.blenheimchalcot.com/) unofficial internship program (at the time).

Education

Minerva University

Bachelor's degree — Computational Operations Research

Eton College

Secondary School

St Paul's School

Maths

Georgetown University

Summer Student — Computer Science

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