Henrik Gabrielyan
AI Advisor at Alsen Technologies
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolHenrik Gabrielyan is an AI advisor and ML engineer with eight years of experience building production-ready computer vision and NLP systems from Amsterdam. He has led projects that blend vision and language—using VQA and object recognition to auto-generate real estate ads—and deployed continuous learning pipelines with Airflow and MLflow to eliminate manual retraining. Henrik improved inference performance dramatically by converting custom PyTorch layers to TensorRT and deploying on NVIDIA Triton, and he fine-tuned Llama with QLoRA to automate 30% of customer support inquiries. His background spans fraud detection with sequence and generative models, ETL for graph data, and full-stack delivery in Spring/Angular environments, underpinned by a strong mathematics and CS education and Oxford ML coursework. Colleagues know him for pragmatic optimizations that convert research ideas into measurable product wins—speedups, automation, and reduced human effort.
8 years of coding experience
5 years of employment as a software developer
Machine Learning Summer School, Machine Learning Summer School at University of OxfordMaster's degree Mathematics, Master's degree Mathematics at Latvijas Universitate
Russian, English, Latvian, Armenian, French
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (21)
modular10
cssnext10
web-components9
postcss9
eco8
react8
component-library8
javascript8
angular-component8
vcl7
typescript7
angular5
css5
spring-mvc4
spring3
Programming languages (4)
Github contributions (5)
HenriARM/LaTEX
May 2019 - Jul 2019
Contributions:30 commits, 26 pushes, 1 branch in 1 month
HenriARM/generative_inpainting
Mar 2021 - Dec 2021
DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral
Contributions:52 pushes, 1 branch in 9 months
pytorchiccviccv-2019deep-learningconvolution
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