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)

ML Research Scientist gone Entrepreneur helping SWE, SDM, and MLEs getting deeper into research

Netherlands Active last month Usually responds in a few days

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 EM.

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.