Chris Hammerschmidt

ML Research Scientist and Founder @ APTA Technologies

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Chris Hammerschmidt

ML Research Scientist and Founder @ APTA Technologies

Save

5.0

(25 reviews)

Director of AI, previously ML research scientist, entrepreneur. Helping MLEs, applied scientists, and SWEs

Netherlands Active this month Usually responds in a week

Skills

Services

$230 / month

Best suited for anyone getting into ML/DS beyond just calling APIs, but doesn't need regular calls.

Regular calls, per agreement

Unlimited Q&A via chat

Expect responses in 3-4 days

Book an intro call

No credit card required

$360 / month

Best suited for anyone who wants to develop understanding of ML beyond just calling APIs.

2 calls per month (30min/call)

Unlimited Q&A via chat

Expect responses in 2 days

Book an intro call

No credit card required

$800 / month

Best if you want to move really quickly and iterate fast or brainstrom a lot together.

4 calls per month

Unlimited Q&A via chat

Expect responses in 24 hours or less

Hands-on support

Book an intro call

No credit card required

Starting from

$230 / month

0~4 calls/month depending on plan

Unlimited Q&A via chat

Expect responses in 72 hours or less

Book an intro call

See all plans No credit card required

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About

As a mentor with a background in both research and industry, I have a wealth of experience of 10+ years to draw upon when guiding individuals through the field of machine learning. My focus is on helping experienced software engineers transition into ML/DS, as well as assisting machine learning engineers in their research endeavors, getting juniors on the right track for their career, and help with the transition from IC to leadership, whether people management as EM or technical mangement in staff+ positions.

A typical mentorship session with me will begin with a review of your career, skills, and goals. From there, we will assess the steps and skills needed to achieve those goals and develop a long-term plan and specific projects to support your overall objective.

In addition to my expertise in machine learning, I am also available to discuss topics such as product-market-fit, validation, business models, start-up fundraising, and bootstrapping. I am currently co-founder and principal engineer at an early-stage machine learning start-up, and have a strong understanding of the challenges and considerations involved in this stage of a company's development.

Throughout my career, I have held a number of roles that have allowed me to build a diverse skill set. These include machine learning research scientist in the financial sector and Ph.D. in machine learning algorithms for software engineering and network analysis. I have also completed data science consulting projects on the side, managed teams as well as teams of teams and leads of leads as director of an entire department.