Erik Arakelyan，丹麦哥本哈根的开发者
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Erik Arakelyan

Verified Expert  in Engineering

人工智能工程师和开发人员

Location
Copenhagen, Denmark
Toptal Member Since
April 8, 2022

Erik is an ML researcher currently pursuing a PhD in machine learning at the University of Copenhagen (UCPH), specializing in topics of NLP, Knowledge Graphs optimizations, and explainability in NLP. 他正在寻找机会将他的深度学习和软件工程技能应用到一个令人兴奋和具有挑战性的项目中.

Software EngineeringOpen SourceData AnalyticsData AnalysisCalculusMachine LearningDeep LearningNatural Language Processing (NLP)CythonArtificial Intelligence (AI)Web ScrapingNLUDeep Neural NetworksSignal ProcessingProbabilistic Graphical Models

Portfolio

Arm
Python 3, c++，深度学习，图像处理，TensorFlow, PyTorch, Keras...
亚美尼亚国家可持续发展目标创新实验室(UNDP)
Python 3, PyTorch, TensorFlow，自然语言处理(NLP)...
American University of Armenia
大学教学，c++， Python 3，算法，深度学习，机器学习...

Experience

Python 3 - 7 yearsSoftware Engineering - 7 years自然语言处理(NLP) - 5年TensorFlow - 5 years生成预训练变形金刚(GPT) - 5年GPT - 5 yearsOptimization - 5 yearsKnowledge Graphs - 4 years

Availability

Full-time

Preferred Environment

Ubuntu, Atom, Visual Studio Code (VS Code)， Python 3, PyTorch, TensorFlow

The most amazing...

...我开发了一个机器人系统来回答知识图谱上的复杂问题. 它在ICLR 2021上获得了最佳论文奖.

Work Experience

Machine Learning Engineer | Tech Lead

2020 - 2021
Arm
  • 领导一个应用机器学习(AML)的技术团队，用于定制深度学习(DL)模型.
  • 实现模型量化和优化管道，维护内部优化的模型库，并提供完整的CI/CD. 这导致了跨不同架构的四倍小和四倍快的模型.
  • 作为AML团队的一部分实现ML管道. Researched efficient DL methods.
  • 为各种NLP任务和图像处理开发模型.
Technologies: Python 3, c++，深度学习，图像处理，TensorFlow, PyTorch, Keras, Chainer, Algorithms, Optimization, Hardware Drivers, Linear Algebra, Continuous Integration (CI), Continuous Deployment, DevOps, Machine Learning, Flask, Reinforcement Learning, Docker, Pipelines, Servers, Networking, Artificial Intelligence (AI), Jupyter, Python, Data Science, GitHub, SQL, Statistics, Data Analysis, ETL, Audio, Document Parsing, NLU, Deep Neural Networks, Test-driven Development (TDD), Large Language Models (LLMs), Language Models, Chatbots, Classification, Text Classification, Data Pipelines, Graphs

Senior Data Scientist

2019 - 2020
亚美尼亚国家可持续发展目标创新实验室(UNDP)
  • 实施了改进公共政策决策的创新解决方案，并创建了一个实时分析和预测亚美尼亚当前旅游活动的平台.
  • 创建深度学习模型，用于时间序列、图像和文本的连续分析.
  • 创建了用于持续抓取的管道，并为数据库管理和ETL优化了流程.
Technologies: Python 3, PyTorch, TensorFlow，自然语言处理(NLP), 生成预训练变压器(GPT), GPT, Image Processing, Signal Processing, Algorithms, SQL, CouchDB, Machine Learning, Flask, Reinforcement Learning, Docker, Pipelines, Servers, Networking, Artificial Intelligence (AI), Amazon Mechanical Turk, Jupyter, Python, Data Science, GitHub, SpaCy, Statistics, Data Analytics, R, Data Analysis, ETL, Web Scraping, Document Parsing, NLU, Deep Neural Networks, Test-driven Development (TDD), Large Language Models (LLMs), Language Models, Chatbots, Classification, Text Classification, Data Pipelines, Graphs

Teaching Associate

2017 - 2020
American University of Armenia
  • 在AUA担任深度学习和数据结构课程的助教.
  • 主持每周的问题解决会议和编程实验.
  • 指导一个最终项目和学士学位指导. 撰写和评分作业和考试.
Technologies: 大学教学，c++， Python 3，算法，深度学习，机器学习, Flask, Pipelines, Jupyter, Python, GitHub, SpaCy, Statistics, Data Analytics, R, Data Analysis, ETL, Document Parsing, NLU, Large Language Models (LLMs), Language Models, Classification

Machine Learning Engineer

2017 - 2018
Teamable
  • 为自动CV解析和分析创建了端到端管道.
  • 为各种NLP任务开发模型，如NER、语义解析和主题检测.
  • 开发图像处理模型，以及用于集成的Flask和Django应用.
Technologies: Django, MongoDB, TensorFlow, PyTorch, SpaCy, Pandas, Flask, Python 3, C++, Cython, DevOps, Machine Learning, Reinforcement Learning, Docker, Pipelines, Servers, Networking, Artificial Intelligence (AI), Amazon Mechanical Turk, Jupyter, Python, Data Science, GitHub, SQL, Statistics, Data Analytics, Data Analysis, ETL, Web Scraping, Document Parsing, NLU, Deep Neural Networks, Test-driven Development (TDD), Large Language Models (LLMs), Language Models, Classification, Text Classification, Data Pipelines, Graphs

Software Engineering Consultant

2016 - 2017
Wolfram Research
  • 创建了一个集成到Wolfram Mathematica中的端到端文本到语音(TTS)管道.
  • 在信号处理团队开发软件，增强Wolfram Mathematica的功能.
  • 为不同项目创建构建，并在不同项目中优化结构和流程.
Technologies: Signal Processing, C++, DevOps, Continuous Deployment, Continuous Integration (CI), Deep Neural Networks, Test-driven Development (TDD), Classification

口头优秀论文奖| ICLR 2021

http://arxiv.org/pdf/2011.03459.pdf
神经链接预测器的复杂查询应答.

我们提出了一个在不完全知识图上高效回答复杂查询的框架. 我们将每个问题转化为端到端可微分的目标, 一个预先训练的神经链接预测器计算每个原子的真值.

Travelinsights

http://www.travelinsights.ai/
基于深度学习方法的实时分析和预测亚美尼亚当前旅游活动的平台.

该工具允许对事件进行可伸缩的实时分析, sentiments, topics, 以及对亚美尼亚旅游活动和趋势的见解.

YSU第五届数学与应用暑期学校

http://github.com/deeplanguageclass
就NLP主题进行演讲和研讨会.

我为亚美尼亚语音译创建了模型，为亚美尼亚语词形化和语义分割创建了管道.
致力于改进词嵌入，并举办NLP研讨会和会议.

FastEnt

http://fastent.github.io/
Founder.

创建了用于自动自定义命名实体识别和消歧的管道. 开发了连续抓取和数据集生成的管道，实现了命名实体泛化和检测的鲁棒方法.

TorchNorms

http://pypi.org/project/torchnorms/
创建了一个基于PyTorch的可微分机器学习库, parametric, and learnable T and S-norms.

该库支持无缝添加新的可微分模块，并支持完整的CI/CD安全.

Languages

Python 3, SQL, Python, C++, R

Libraries/APIs

TensorFlow, PyTorch, Keras, SpaCy, Pandas

Tools

Jupyter, GitHub, Mathematica, Atom

Paradigms

Dynamic Programming, Linear Programming, Testing, Data Science, ETL, Test-driven Development (TDD), DevOps, Continuous Deployment, Continuous Integration (CI)

Platforms

Docker, Ubuntu, Visual Studio Code

Storage

MongoDB, CouchDB, Data Pipelines

Other

Optimization, Software Engineering, Calculus, Linear Algebra, Machine Learning, Deep Learning, Natural Language Processing (NLP), Probabilistic Graphical Models, Knowledge Bases, Knowledge Graphs, Learning Transfer, Signal Processing, Cython, Reinforcement Learning, Open Source, Pipelines, Artificial Intelligence (AI), Data Analytics, Data Analysis, Web Scraping, Audio, Document Parsing, NLU, Deep Neural Networks, Large Language Models (LLMs), Language Models, Chatbots, GPT, 生成预训练变压器(GPT), Classification, Text Classification, Graphs, Research, Bayesian Inference & Modeling, Bayesian Statistics, Probability Theory, Statistics, 可解释人工智能(XAI), Deep Reinforcement Learning, Image Processing, University Teaching, Servers, Networking, Amazon Mechanical Turk, Algorithms, Statistical Methods, Causal Inference, Hardware Drivers, Fuzzy Logic

Frameworks

Flask, Chainer, Django

2021 - 2022

人工智能博士学位

哥本哈根大学-哥本哈根，丹麦

2018 - 2019

人工智能硕士学位

伦敦大学学院-英国伦敦

2014 - 2018

Bachelor's Degree in Computer Science

亚美尼亚美国大学-埃里温，亚美尼亚

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