Coastal Recruiting - Engineering Candidate Spotlight, Aug 30

AI/ML/Data Engineer (SF)

• She graduated from NYU and joined conversational AI startup Kasisto as a Data Scientist/Data Engineer, where she built NLU models and a data processing pipeline from 0-1, helping deliver faster solutions to banking clients.

• Transitioned to a product software engineer role, developing full-stack features, running experiments in data pipelines, and extracting insights for reporting; also involved in a startup project for deep learning visualization and UI/UX design.

• Strongest languages include Python, Django, and Java, with current work in React.

Full Stack Engineer (SF)

• After graduating from Purdue, she worked in full-stack roles at Bank of America and Tesla before joining her current AI startup, Mendel AI, as an early engineer. 

• Initially focused on frontend development, she has expanded her role to include optimizing, Dockerizing models, automating pipelines/DevOps, and building a health services dashboard from 0-1.

• Thrives in a fast-paced setting while wearing multiple hats, with strong skills in React, Python, and TypeScript.

AI/ML Engineer (SF)

• Currently at Tavus, a Sequoia-backed Series A startup, in an applied ML role focused on MLOps, ML infrastructure, training LLMs, and model development; recently contributed to a product launch featuring conversational video chat.

• Holds a Master's in AI from Johns Hopkins and a BS in Computer Science from UCLA, with prior experience as a Software Engineer at Northrop Grumman and in traditional ML roles in DC.

• He is interested in cutting-edge AI/GenAI problems and open to both research and applied ML roles.

Sr. Full Stack/Back End Engineer (NYC)

• Strong full-stack engineer with a backend focus, previously a core engineer at Amazon for the launch of SageMaker, and a technical advisor for LegUp (acquired); spent two years at Protocol Labs improving protocols and leading architecture.

• Currently a founding engineer at Approximate Labs, where he built the largest dataset of tables by extracting 69 TiB from various formats and developed a training data collection pipeline, resulting in the publication of the TabLib paper.

• Proficiency in multiple languages including Python, Go, and TypeScript, and a preference for high-intensity, ambiguous environments.

AI/ML Engineer (NYC)

• Holds a BSc in AI with Honors from Carnegie Mellon University, and has spent the last 4 years at Google X working on startup-like projects within a flat organization.

• Currently leading ML/AI efforts on a significant project that has transitioned to non-stealth mode, having been the second engineer hired and the first ML engineer on the team.

• Passionate about 0-1 work; she has written and productionized models from scratch and is eager to explore opportunities at early-stage startups to continue her applied AI/ML research.

Full Stack/Front End Engineer (NYC)

• Full stack developer with a frontend focus, experienced in building products end-to-end and from 0-1, currently at a startup creating AI solutions for financial advisors.

• Developed a client meeting preparation tool using LLMs, a GPT-powered chatbot for portfolio explanations, and a system for creating financial models across multiple portfolios.

• Proficient in TypeScript, Node.js, React.js, and Next.js for frontend development, with backend experience in Python and Golang; previously used Ruby on Rails at Coinlist.

As always, give me a shout if any of the profiles catch your eye or know any founders building their engineering teams in NYC or SF.

Enjoy the long weekend!

David

Give me a shout if any of the profiles catch your eye!

P.S. Coastal Recruiting helps the top 1% of founders hire 0-1 engineers in SF + NYC