# Alex Ker

> Eng + GTM @Baseten | Prev: Fellow @Bloomberg Beta, Bessemer, 8VC

Location: New York, New York, United States
Profile: https://flows.cv/alexker

I am most excited to build AI that solves meta-problems—problems that solve many other problems.

I care about repurposing broadly intelligent systems for specific domains through “hot-swap startups”. 

The common theme is these companies that don’t just create stellar software—but also offer some product or service that is already a part of their customer’s existing behaviour.

Previously:
    •    Founded and chaired P-ai.org, the modern incubator for AI/ML ideas and projects, where I hired & managed 45+ technical projects (from early-stage startups to open-ended research) for over 500+ students cumulatively, and matched 35+ to internships across industry and academia like Meta, Amazon, and top PhD programs. P-ai is often folks’ foray into AI, and it’s fun to see the exciting work they go on to do!
    •    Built Multimodal ML pipelines at Neurable (Brain-Computer Interface).
    •    Contributed to back-end APIs and reinforcement learning infrastructure at LaunchDarkly (Feature Flags).

I love writing, teaching, and building communities: I was an Industry Briefs Editor at Stanford Institute for Human-Centered AI. I designed/taught a curriculum on creative writing at Uncommon Good, led office hours for MIT6.00.1x on EdX + the Security Learning Community at Greylock, and advised a few student startups.

I am/was part of a few fellowships where I learned about early-stage investing, developing scalable software/products, and entrepreneurship: 
    •    Engineering: 8VC, Bessemer Venture Partners, Contrary Capital.
    •    Investing: Bloomberg Beta, Unshackled Ventures.

In my free time, I like to cook a variety of omelettes, keep up with my reading list on Goodreads, and write. Please feel free to reach out—always open to chatting about niche and interesting ideas!

Instagram: @thealexker
Twitter: @thealexker
Website: www.alexker.com

## Work Experience
### Eng, GTM & Applied AI @ Baseten
Jan 2025 – Present

### Growth/Engineering Experiments @ Independent
Jan 2023 – Present
> Generated 20M+ impressions & 11,000+ followers in 3.5 months by writing technical content, dissecting research, and building products around AI, future of work and frontier technologies.
> Featured in Business Insider, Futurism, Gizmodo; invited to various podcasts and speaking engagements on AI. Replies, retweets, likes from Elon Musk, Mira Murati, Garry Tan, Chamath Palihapitiya, Alexis Ohanian, Paul Graham, Balaji and more.
> Learned copywriting, launching compelling demos, growth and distribution strategies for software projects using social media, while making lots of internet friends
> Project 1: Launched full-stack end-to-end AI apps in production with xxk users and 10M+ impressions.
> Project 2: Revamped funnel and offer to increase qualified leads, improve conversion, and more accurately target ICP painpoints for creator with 2.5M+ followers and xxxM impressions.
> Project 3: Mentoring student founders on organic growth.

### Fellow @ 8VC
Jan 2022 – Present | San Francisco Bay Area
-1/38 selected. 
https://www.8vc.com/fellowships

### Founder, Chairman @ P-ai
Jan 2021 – Present
Overseeing executive and board operations.

### Founder, Managing Director @ P-ai
Jan 2019 – Jan 2021 | Claremont, California
P-ai is the modern incubator for AI projects & ideas. Email us at p.ai.claremont@gmail.com.
-Community, Operations, Talent.

Scaled the org from zero to the following milestones...
-Supervised execution of 30+ technical projects and PMs such as Twitter Sentiment Analysis of IPOs in 2019, AI Trading Bot, and Neural Decoding of Executed and Imagined hand-movements using EEG data and chaired leadership team spanning across five undergraduate colleges. Projects range from early-startup ideas to open-ended research questions.
-Coordinated recruitment efforts and on-boarding of 300+ students.
-Matched/Referred 30+ of students with internships, research opportunities to further careers in ML, data science despite COVID pandemic. 
-Assembled advisory board consisting of faculty, venture capitalists, researchers to provide diversified insights and assess progress.
-Hosted and instructed workshop series in basic Python, GitHub, Data cleaning/preprocessing, and modelling including Deep Learning, SVM, Random Forest, and other techniques.
-Planned events such as industry careers panel, Demo Days, research talks and discussions.
-Closed multiple partnerships deals with AI startups, and other student organizations.

P-ai alumni have gone off to Amazon, NASA, Snap, Facebook, Health[at]Scale, and more high impact organizations.

### Bessemer Fellow @ Bessemer Venture Partners
Jan 2021 – Present
-1 of the 25 Fellows in 2021 Class appointed across North America out of 1200.
https://www.bvp.com/bessemer-fellows

### Talent Fellow (CS21) @ Contrary
Jan 2021 – Jan 2023
Contrary is a select, diverse community of the top early-career engineers, designers, and product minds working in technology. Members gain lifetime access to career making job opportunities, funding for the companies they start or join, mentorship from industry leaders, and much more. Selected 50/1500.

### Decision Science and Software @ LaunchDarkly
Jan 2022 – Jan 2022
Building Online Experimentation Platform: 
-Prototyped Bayesian Optimization, Multi-armed Bandits, A/B Testing infrastructure.
-Learned how to develop scalable RL human-in-the-loop system that is use case agnostic.

### Editor (Industry Briefs) @ Stanford Institute for Human-Centered Artificial Intelligence (HAI)
Jan 2021 – Jan 2022
A new series connecting companies to cutting-edge Stanford AI research. 
-Interfaced with Stanford faculty and investors to synthesize research and associated applications to produce relevant insights for industry executives.
-Completed brief on education + created comprehensive guidelines for future editors.
https://hai.stanford.edu/news/announcing-hai-industry-briefs

### Venture Fellow @ Unshackled Ventures
Jan 2020 – Jan 2022
Unshackled Ventures is the first and only early-stage venture capital fund for visionary immigrant founders from day 0. Besides investing in immigrants, we sponsor their visas & green cards to enable them to spend 100% of their time building companies.
-Led in-depth due diligence that resulted in first stealth brain-computer-interface investment.
-Selected out of 400+ applicants to help firm with portfolio operations, deal flow and research.

### Fellow, Investment Team @ Bloomberg Beta
Jan 2021 – Jan 2021
Bloomberg Beta invests in pre-seed and seed-stage companies focused on the future of work and machine intelligence. Investments include: Flexport, OnDeck, Kaggle, Primer, Repl.it, AngelList, Slack, Weights and Biases, Streamlit and more.
-Researched emerging markets and generated deal flow.
-Portfolio community-building and support.
-Proposed bottoms-up go-to-market strategy for portco that has been executed, leading to an acquisition.

### Community @ Greylock
Jan 2020 – Jan 2021
Co-leading and organizing Security Tech Learning Community for students and new grads.

### Mentor @ HMC INQ
Jan 2020 – Jan 2021
YC of the 5Cs, supporting and learning with entrepreneurs.

### Machine Learning @ Neurable
Jan 2020 – Jan 2021
Everyday Brain-Computer Interface and Signal Processing platform. 
-Making ML generalized and personalized by experimenting, building, refining end-to-end pipelines for classification and regression tasks. IP resulted in multiple pending patents.
-Work with multimodal data applying speech recognition, AutoML, EEG/EMG processing, signal validation, feature engineering, model selection, writing data ethics/privacy frameworks. 
-Model-agnostic algorithm boosted accuracy by up to 15% downstream.
-Fundraised new round: critiquing pitch deck, communicating core technology, introduction to new investors and building deployable web app for presentation. 
-Directly collaborating with senior ML engineers, chief scientist, executive team.
-Received return offer 2x.

### Software Engineering (Backend) @ LaunchDarkly
Jan 2021 – Jan 2021
-Architected and deployed RESTful API endpoints in Golang used in the backend, SDK, and frontend to query user attributes in parallel used by over 2k+ businesses and development teams; updated entire user search integration and unit testing suite.
-Contributed first published blog on management of technical debt and helped organize various intern events.
-Received return offer.

### Scout @ Loup Ventures
Jan 2020 – Jan 2020
Deal flow while working at portfolio company Neurable summer-winter 2020

### Venture Partner @ Nodes Advisors AG
Jan 2019 – Jan 2020 | Zürich Area, Switzerland
Nodes Advisors is a buy-side corporate advisory boutique that specializes in the Life Science & Biotech ecosystem. Through our advice and network of syndicates/funds, we help entrepreneurs raise capital with investor-friendly terms. 
-Cultivate deal flow in North America and Asia and screen opportunities in Europe.
-Advise development of stealth artificial intelligence startup.
-Participate in due diligence and operations.

### Senior Technology Analyst @ Nodes Advisors AG
Jan 2019 – Jan 2019 | Zürich Area, Switzerland

### Venture Fellow @ Nodes Advisors AG
Jan 2019 – Jan 2019 | Zürich Area, Switzerland

### Weekly Writing Workshop Program Coordinator @ Uncommon Good
Jan 2020 – Jan 2020
Weekly Writing Workshop (Creative Fiction)
Managed mentor team of 30 and designed curriculum to empower low-income grade 5-7 students by strengthening their technical writing skills and creative expression.

### Writing Mentor @ Uncommon Good
Jan 2019 – Jan 2019 | Claremont, California

### Career Development Peer Advisor @ Pomona College
Jan 2019 – Jan 2020 | Claremont, California
Resume & cover letter review, career planning. Learned a ton on customer service.

### Summer Research Data Analytics and Computational Intelligence Lab @ City University of Hong Kong
Jan 2019 – Jan 2019 | Kowloon, Hong Kong
Twitter sentiment analysis (NLP) of how HK urban routines affect perceived happiness, and in turn, the development of smart cities and policies advised by LiShuai Li of School of Data Science and department of Systems Engineering and Engineering Management. 
-Cleaned and processed twitter data with Python/pandas.
-Completed location type and activity labelling algorithm using Google Places API and inferential methods from text. 
-Analyzed tweet sentiment by developing combined score from LIWC and Vader.
-Mapped user trajectory via ArcGIS.
-Completed regression analysis, and visualized common patterns with matplotlib, statmodels.
-Implemented and deployed Multilayered Perceptron and 1D Convolutional Neural Network using Tensorflow, Keras to predict sentiment (4 classes) from location, activity, and time data.

### Machine Learning @ Claremont Graduate University
Jan 2019 – Jan 2019 | Claremont, CA
Computational text analysis for evaluating the trustworthiness of news, statements, and truth claims.

### Cofounder, CTO @ Keep Well
Jan 2018 – Jan 2019
Seasonal Subscription Startup incubated at Quarter Zero.

### Community Teaching Assistant @ Massachusetts Institute of Technology
Jan 2016 – Jan 2018
-Monitored discussion forums, Slack, Facebook, providing comprehensible answers illustrating underlying mechanism of Python and sparking interest in pursuit of CS for global audience of over ten thousand.
-Founded weekly office hours initiative to help students crack problem-sets using heuristic approach on Google Hangouts.

### Summer Research Computational Cognitive Science Group @ Massachusetts Institute of Technology
Jan 2017 – Jan 2017 | Greater Boston Area
Advised by Josh Tenenbaum department of Brain and Cognitive Sciences
-Programmed virtual experiments with psiTurk—AmazonMechTurk research framework, JavaScript, jQuery, HTML, CSS to collect behavioural data by crowdsourcing.
-Organized data used to create an inverted “Intuitive Game Engine” with probabilistic programming to model social common sense, ultimately facilitating stronger robot-human collaboration.
-Solicited feedback and beta-tested with all lab members - interacting with undergrad, graduate, post-docs, and PI.
-First high school intern.


## Education
### Master's degree in Computer Science
Brown University

### Bachelor's degree in Computer Science Major; Philosophy Minor; Math Minor.
Pomona College

### Certificate of Innovation and Entrepreneurship
Claremont McKenna College

### Summer Program in Cognitive Science
University of Pennsylvania

### Crescent School

### Modern Philosophy and General Psychology
University of California, Berkeley


## Contact & Social
- LinkedIn: https://linkedin.com/in/alex-ker

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Source: https://flows.cv/alexker
JSON Resume: https://flows.cv/alexker/resume.json
Last updated: 2026-04-13