Ali Abbasi
Founder at Ulern
Amstelveen, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolAli Abbasi is a seasoned backend engineer and founder with a decade of professional experience and 17 years of hands-on software practice, currently building Ulern, an AI-powered learning platform. He combines strong backend expertise in Python/Django and Go with front-end experience in Vue.js and modern cloud deployments on Google Cloud Run. At FareHarbor and Fivetran he drove full development lifecycles, championed TDD, and built RESTful APIs and state management systems that supported scalable product features. His background includes performance-sensitive work in C++ for TomTom’s search stack and designing data-extraction components with InfluxDB, reflecting comfort across low-level and high-level systems. As a founder he owns product, design, development and growth, and he’s experimented with LangGraph and OpenAI to create adaptive learning flows—an uncommon blend of systems engineering and applied AI in a single practitioner. Based in Amstelveen, Netherlands, he brings pragmatic technical leadership, strong documentation habits, and a bias toward simplicity and iterative delivery.
10 years of coding experience
12 years of employment as a software developer
Master of Science (MSc) Computer Software Engineering, Master of Science (MSc) Computer Software Engineering at Iran University of Science and TechnologyBachelor of Science (B.S.) Computer Software Engineering, Bachelor of Science (B.S.) Computer Software Engineering at Urmia University
English
Stackoverflow
944reputation
389kreached
39answers
4questions
tensorflow
top-5%
Github Skills (31)
softmax10
tensorflow9
application9
loss9
loss-functions8
data-structures8
entropy8
fine-tuning8
vector-database8
llm8
backpropagation7
cross-entropy7
gpt7
convolution6
csv6
Programming languages (1)
Github contributions (5)
AliAbbasi/Multilabel-Image-Classification-with-Softmax
Apr 2017 - Sep 2018
Contributions:19 commits, 17 pushes, 1 branch in 1 year 4 months
AliAbbasi/Numerically-Stable-Cross-Entropy-Loss-Function-Tensorflow
May 2017 - May 2017
Numerically Stable Cross Entropy Loss Function Implemented with Python and Tensorflow
Contributions:1 review, 24 commits, 1 PR in 1 day
entropypythonloss-functionscross-entropybackpropagation
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