Neven Pičuljan, Developer in Zagreb, Croatia
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Neven Pičuljan

Verified Expert  in Engineering

Deep Learning Developer

Location
Zagreb, Croatia
Toptal Member Since
September 27, 2017

Neven是一位充满激情的深度学习和机器学习研发工程师，拥有6年的经验. 他拥有丰富的尖端技术工作经验，并具有扎实的理解和有效解决问题的能力. Neven的沟通能力非常好，他正在寻找更多的自由职业项目来挑战自己.

Artificial Intelligence (AI)Machine LearningComputer VisionDeep LearningDeep Neural NetworksC++CPyCharmPythonLinuxMicrosoft Visual StudioDjango REST FrameworkOpenCVTensorFlowPyTorchCaffeLispTheano

Portfolio

Pičuljan Technologies
Amazon Web Services (AWS)， Flask, SQLAlchemy, PostgreSQL, Git, Apache Kafka...
Toptal Clients
OpenCV, TensorFlow, Caffe, PyTorch, Python
New York-based Company
Python 3, PyTorch, Azure，机器学习，机器学习操作(MLOps)

Experience

C++ - 6 yearsC - 6 yearsPython - 6 yearsDjango REST Framework - 4 yearsOpenCV - 4 yearsTensorFlow - 3 yearsPyTorch - 3 yearsBLAS - 2 years

Availability

Part-time

Preferred Environment

Git, PyCharm, Linux, Azure, PyTorch

The most amazing...

...我建立了一个面部识别系统通过搜集网上数据, training the Torch model, and creating a C-based neural network inference engine.

Work Experience

CEO | Founder

2018 - PRESENT
Pičuljan Technologies
  • 研究并撰写科学研究论文，这些论文可以在piculjantechnologies上看到.ai/cortex-platform and mdpi.com/2076-3417/13/10/6234.
  • Built an AI library and associated products with the AI library.
  • Created models for time-series analysis, computer vision, and NLP.
Technologies: Amazon Web Services (AWS)， Flask, SQLAlchemy, PostgreSQL, Git, Apache Kafka, Docker, C, C++, OpenCV, PyTorch, Python

Artificial Intelligence Specialist

2017 - PRESENT
Toptal Clients
  • 参与多个AI项目(计算机视觉、时间序列分析、NLP等.).
  • Implemented computer vision algorithms.
  • Worked with time series data.
  • Implemented a server for AI models.
  • Implemented a data visualization web application.
Technologies: OpenCV, TensorFlow, Caffe, PyTorch, Python

高级机器学习工程师|高级顾问|高级合伙人

2020 - 2023
New York-based Company
  • Conducted research, developed, and deployed multiple machine learning (ML) services, 专注于计算机视觉和自然语言处理(NLP).
  • Tracked and fixed bugs using Jira as a reporting tool.
  • Interviewed and led multiple ML engineers to build ML solutions.
  • 开发、实施和部署基于生成式AI的AI解决方案.
技术:Python 3, PyTorch, Azure，机器学习，机器学习操作(MLOps)

Machine Learning Engineer

2020 - 2020
NDA (via Toptal)
  • Worked on a text clustering algorithm for an eCommerce project.
  • 为训练文本嵌入提取器生成合成文本数据做出了贡献.
  • Worked on training and evaluating a text embedding extractor.
  • 帮助降低文本嵌入的维数和文本嵌入簇的可视化.
技术:SpaCy, Matplotlib, Plotly, PyTorch, Scikit-learn, Python

AI Consultant

2020 - 2020
NDA (via Toptal)
  • 就如何创建、改进和部署映像相似性模型向客户咨询.
  • Created a baseline system to perform image similarity estimation.
技术:Scikit-learn, Pandas, SciPy, NumPy, PyTorch, Python

AI Developer

2020 - 2020
NDA (Fintech Client; via Toptal)
  • 训练多个时间序列分析模型来预测未来的价格行为.
  • Deployed multiple time series analysis models.
  • Integrated several different finance APIs.
Technologies: Amazon Web Services (AWS), Quandl API, Google Cloud Platform (GCP), Scikit-learn, Pandas, SciPy, NumPy, Theano, TensorFlow, Keras, Python

Computer Vision Developer

2018 - 2019
NDA (Healthtech Client; via Toptal)
  • Trained multiple computer vision models for classification, segmentation, 3D reconstruction, and more.
  • Deployed multiple computer vision models.
  • Organized the protocol for data collection and annotation.
Technologies: Amazon Web Services (AWS), Google Cloud Platform (GCP), Scikit-learn, Pandas, SciPy, NumPy, Open Neural Network Exchange (ONNX), Core ML, OpenCV, Scala, PyTorch, Python

ML/AI Consultant

2017 - 2019
Precious
  • 训练不同的计算机视觉模型用于检测、识别和聚类.
  • 使用CoreML和ONNX为iOS部署不同的计算机视觉模型.
  • Worked on the protocol for data collection and annotation.
Technologies: Amazon Web Services (AWS), Core ML, Open Neural Network Exchange (ONNX), Scikit-learn, Pandas, SciPy, NumPy, OpenCV, TensorFlow, PyTorch, Python

Co-founder/AI Engineer

2017 - 2019
Poze
  • Created a neural network inference engine for Android.
  • Trained a pose estimation model.
  • Created a testing framework for the pose estimation model.
  • Created a pose estimation library in C/C++.
Technologies: C, C++, OpenCV, TensorFlow, Python

Developer

2018 - 2018
Fitz-Gerald Research Publications
  • 从事一个基于网络的应用程序，使用专有算法筛选时间序列数据.
Technologies: Amazon Web Services (AWS), SQLAlchemy, Dash, Flask, Scikit-learn, Pandas, SciPy, NumPy, Python

ML Engineer

2018 - 2018
NDA (via Toptal)
  • 使用PyTorch和一个大型数据库创建了一个图像/文本分类器.
  • Deployed an image/text classifier on AWS.
  • Created a user interface using Dash by Plotly.
Technologies: Amazon Web Services (AWS), Dash, Scikit-learn, Pandas, SciPy, NumPy, Flask, PyTorch, Python

ML Engineer

2017 - 2017
NDA (via Toptal)
  • Trained neural networks for image similarity.
  • Deployed neural networks for image similarity as a web service.
  • Created a protocol for data collection and annotation.
Technologies: Amazon Web Services (AWS), Dash, Scikit-learn, Pandas, SciPy, NumPy, Flask, PyTorch, Python

Python Django Developer

2017 - 2017
NDA (via Toptal)
  • Worked on a web-shop-like web application.
Technologies: REST APIs, Heroku, PostgreSQL, Django, Python

Research Engineer

2016 - 2017
Visage Technologies
  • Collected the data set for building a face recognition system.
  • 构建训练工具，使用Torch和TensorFlow训练人脸识别神经网络模型.
  • Created a testing framework.
  • Coded the neural network inference engine in C/C++.
  • Cross-compiled the neural network inference engine.
Technologies: Android Studio, Robot Operating System (ROS), OpenCV, CLion, PyCharm, Microsoft Visual Studio, BLAS, C++, C, TensorFlow, Torch, PyTorch, Linux

Django Developer

2015 - 2015
Mobilne Aplikacije d.o.o.
  • Developed Django applications and REST web services.
  • Created database models.
  • Scraped data from the internet.
技术:MySQL, PyCharm, Django REST框架，Linux, Python, Django

Machine Learning/Data Mining Intern

2015 - 2015
Bisnode
  • 收集数据以创建克罗地亚语言的命名实体识别器.
  • Trained a named entity recognizer for the Croatian language.
  • Created a testing framework.
  • Made a web service to expose the named entity recognizer.
  • Crawled various types of data from the internet.
Technologies: C++, C, Python, Linux

Software Engineering Intern

2014 - 2014
Visage Technologies
  • Developed a video face annotator.
  • Created tests for the face annotator.
  • Created a user’s manual for the face annotator.
技术:Microsoft Visual Studio, OpenCV, C, c++， Windows, Linux

Teaching Assistant on Probability and Statistics

2014 - 2014
萨格勒布大学电气工程与计算机学院
  • Prepared students for the exams.
  • Created assignments for the students.
  • Corrected students' exams.

Deep Visual Biometrics

http://www.visualsweden.se/aktuella-projekt/forstudie-deep-visual-biometrics/
为我在Visage科技公司开发的人脸识别系统做了可行性研究和演示. The demo was written in C/C++ and Python. I collaborated with the Swedish Police, the Swedish National Forensic Center, and the Swedish Defence Research Agency on this project.

Torch框架下Levenberg-Marquardt算法的函数逼近神经网络

使用Levenberg-Marquardt算法的函数逼近神经网络. 我在各种功能上测试了代码，并使用了Torch框架和Python.

Credit Card Application Classifier

A simple classifier in R for credit card applications. 我得到了一组用户交互的数据集，并尝试了各种机器学习算法:支持向量机, decision trees, random forests, logistic regression, etc.

Clustering

A project in data mining. 我得到了一组数据，其中有关于游客与华沙哥白尼科学中心不同站点互动的详细信息, Poland. 目的是描述通过这些车站的游客的流动特征，并将游客分成不同的类别/部分. I used R.

Contour Detection

一种用于检测和定位图像中二维轮廓(人头)的系统, where many such contours of different size could exist. 为此，我应用了广义霍夫变换(GHT). The system was written in Python.

Operations on Graphs in LISP

在LISP中对图进行各种操作的实现:在图中查找循环, finding paths from one node to another in graphs, checking if the binary tree is symmetric, depth-first order graph traversal, finding maximum depth of a binary tree, and finding a leaf with a maximum value in a binary tree.

Expert System in Prolog

An expert system created in Prolog for animal identification.

Face Recognition

A face recognition system. It was trained and tested in Torch framework. The data set was made of publicly available data sets.

Deep Regression for Face Alignment

Research conducted on different algorithms for face alignment.

Answer Selection in Community Question Answering

这是一个系统，可以自动将Stack Overflow的帖子分为三类:一类是那些回答得好的帖子. Another for those that can be potentially useful to the user (e.g., because they can help educate him/her on the subject). Lastly, group those that are just bad or useless.

我尝试了各种机器学习算法(scikit-learn):高斯朴素贝叶斯, SVMs, and random forests.

基于轮廓的检测器在城市环境中的行人检测

一个在城市环境中使用基于轮廓的检测来进行行人检测的系统. It was written in Python using Numpy, Scikit-learn, and OpenCV.

Performance-driven Animation as a Web Application

Performance-driven animation as a web application. 人脸跟踪被用来获得动画虚拟人物面部的运动. The graphics system used to build the application was Three.js based on WebGL. 用于构建应用程序的面部跟踪系统是Visage|SDK.

SkyRail Computer Game Controlled with Head Movements

http://www.youtube.com/watch?v=QrsVpX5-LXo
A computer game controlled with head movements. It was written in C# using Unity game engine.
《对冲基金深度学习交易导论》出版物图片
Publication

Introduction to Deep Learning Trading in Hedge Funds

http://uko.chinaqinyu.com/deep-learning/deep-learning-trading-hedge-funds
《Flappy Bird:一种强化学习教程》出版物
Publication

Schooling Flappy Bird: A Reinforcement Learning Tutorial

http://uko.chinaqinyu.com/deep-learning/pytorch-reinforcement-learning-tutorial

Languages

c++， C, Python, R, Lisp, Bash, Prolog, JavaScript, Perl, Java, Scala, Python 2, Python 3

Frameworks

Core ML, Django REST Framework, Django, Caffe, Flask

Libraries/APIs

LSTM, BLAS, TensorFlow, OpenCV, PyTorch, Stanford NLP, Quandl API, SQLAlchemy, NumPy, SciPy, Pandas, Scikit-learn, REST APIs, Keras, Theano, Matplotlib, SpaCy, Python API

Tools

Named-entity Recognition (NER), AWS CLI, Microsoft Visual Studio, PyCharm, Android Studio, CLion, Stanford NER, Amazon Elastic Container Service (Amazon ECS), Subversion (SVN), Git, Plotly

Paradigms

Data Science, Management

Platforms

Amazon EC2, Linux, Amazon Web Services (AWS), Android, Windows, Google Cloud Platform (GCP), Docker, Heroku, Apache Kafka, Azure

Storage

Amazon S3 (AWS S3), PostgreSQL, MongoDB, MySQL

Other

Sentiment Analysis, Probability Theory, LSTM Networks, Gated Recurrent Unit (GRU), SVMs, Support Vector Machines (SVM), Random Forests, Decision Trees, Decision Tree Classification, Decision Tree Regression, Logistic Regression, Linear Regression, Classification, Text Classification, Text Analytics, Computer Vision Algorithms, Statistics, Recurrent Neural Networks (RNNs), Natural Language Processing (NLP), Deep Neural Networks, Deep Reinforcement Learning, Reinforcement Learning, Artificial Intelligence (AI), Computer Vision, Deep Learning, Machine Learning, Torch, GPT, Generative Pre-trained Transformers (GPT), Dash, Open Neural Network Exchange (ONNX), Robot Operating System (ROS), Big Data, Machine Learning Operations (MLOps)

2021 - 2023

PhD in Artificial Intelligence

萨格勒布大学，电子工程与计算机学院-萨格勒布，克罗地亚

2015 - 2016

Master's Degree in Computer Science

Warsaw University of Technology - Warsaw, Poland

2014 - 2016

Master's Degree in Computer Science

萨格勒布大学，电子工程与计算机学院-萨格勒布，克罗地亚

2011 - 2014

Bachelor's Degree in Computer Science

萨格勒布大学，电子工程与计算机学院-萨格勒布，克罗地亚

NOVEMBER 2018 - PRESENT

Convolutional Neural Networks

Coursera

NOVEMBER 2018 - PRESENT

Deep Learning Specialization

Coursera

NOVEMBER 2018 - PRESENT

Sequence Models

Coursera

NOVEMBER 2018 - PRESENT

Structuring Machine Learning Projects

Coursera

OCTOBER 2018 - PRESENT

改进深度神经网络:超参数调整、正则化和优化

Coursera

OCTOBER 2018 - PRESENT

Neural Networks and Deep Learning

Coursera

APRIL 2018 - PRESENT

Artificial Intelligence

Toptal, LLC

APRIL 2018 - PRESENT

Data Science

Toptal, LLC

SEPTEMBER 2014 - PRESENT

Machine Learning

Coursera

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