Senior Machine Learning Engineer | Community lead | Board member | Machine Learning, AI solutions, Inclusive & Ethical Digital Services
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Jessica Greene
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Senior Machine Learning Engineer | Community lead | Board member | Machine Learning, AI solutions, Inclusive & Ethical Digital Services
Bio from: Speed Mentoring Event
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How we sustain what we build — and why the future of tech depends on care, not only code.
The last five years have reshaped tech — through a pandemic, economic uncertainty, shifting politics, and the rapid rise of AI. While these changes have opened new opportunities, they’ve also exposed the limits — and harms — of a “move fast and break things” mindset.
In this session, I will share how I have approached learning the foundations of Machine Learning to transition into a role as an ML engineer, despite my non-traditional background. How I use chatgpt and other generative AI tools to assist both at work and on my side projects. The pros and cons I see of using these tools and why I think it's important we take notice of these technologies.
We talked about:
Jessica’s background Giving a talk at a tech conference about coffee Jessica’s transition into tech (How to get started) Going from learning to actually making money Landing your first job in tech Does your age matter when you’re trying to get a job? Challenges that Jessica faced in the beginning of her career Jessica’s role at PyLadies Fighting the Imposter Syndrome Generational differences in digital literacy and how to improve it Events organized by PyLadies Jessica’s beginnings at PyLadies (organizing events) Jessica’s experience with public speaking The impact of public speaking on your career Tips for public speaking Jessica’s work at Ecosia Discrimination in the tech industry (and in general) Finding Jessica online
Links:
Ecosia's website: https://www.ecosia.org/ Ecosia's blog: https://blog.ecosia.org/ecosia-financial-reports-tree-planting-receipts/ PyLadies Berlin: https://berlin.pyladies.com/ PyLadies' Meetup: https://meetup.com/PyLadies-Berlin Code Academy: https://www.codecademy.com/ Freecodecamp: https://www.freecodecamp.org/ Coursera Machine Learning: https://www.coursera.org/learn/machine-learning ML Bookcamp code: https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp Google Summer code: https://summerofcode.withgoogle.com/ Outreachy website: https://www.outreachy.org/ Alumni Interview: https://railsgirlssummerofcode.org/blog/2020-03-17-alumni-interview-jessica Python pizza: https://python.pizza/ Pycon: https://pycon.it/en Pycon 2022: https://2022.pycon.de/
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