Alex Ker

-Scaling the next generation of AI applications.

> 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. Resulted in xxk monthly run rate. > Project 3: Mentoring student founders on organic growth.

-1/38 selected. https://www.8vc.com/fellowships

Overseeing executive and board operations.

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.

-1 of the 25 Fellows in 2021 Class appointed across North America out of 1200. https://www.bvp.com/bessemer-fellows

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.

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.

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

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.

Specializing in both AI/ML and Data pathways. Coursework: Computational Linguistics, Database Management Systems, Computer Vision, Graduate Seminar in Data Management (AI/LLMs), Parallel Computing, Graduate Seminar in Self Supervised Learning, Graduate Advanced Topics in Deep Learning, Blockchain and Cryptocurrencies.

Relevant Coursework: Logic, Linear Algebra, Algorithms, Data Structures, Advanced Seminar in Natural Language Processing, Managing Data at Scale, Managing Complex Systems, Machine Learning, Deep Learning, Management of Technical Enterprise, Human-Centered Design, Monte Carlo Methods, Probability, Statistical Inference, Programming Languages, Computer Systems.

RLCIE Fellow concurrent with B.A. in Computer Science. Only student from Pomona completing the designation during my year.

1 of 20 students selected to participate in MindCORE Undergraduate Summer Workshop in Interdisciplinary Mind and Brain Studies