Aleksandar Milchevski
Verified Expert in Engineering
Machine Learning Developer
Aleksandar拥有超过十年的数据综合研究和开发经验, machine learning, computer vision, and signal/image processing. He enjoys working remotely and solving complex problems. He prides himself on being able to write clean, readable code.
Portfolio
Experience
Availability
Preferred Environment
Amazon Web Services (AWS), Google Cloud, Python, Linux
The most amazing...
...thing I have worked on is a DNA sequencing software.
Work Experience
Machine Learning Engineer
Collab (Toptal Client)
- 领导了视频处理API的研究和开发.
- Extracted valuable information from videos using AWS.
- Used Ruby on Rails for the back-end side of the app.
Machine Learning Engineer
Miracle Mill, GmbH
- Contributed to several projects using AWS (Glue, SageMaker, DynamoDB, and Lambda) and ETL using Apache Spark.
- 领导机器学习模型的选择、训练和验证.
- Placed the algorithms into production.
Audio Signal Processing Engineer
Leybold (via Toptal)
- Analyzed, processed, and classified sound recordings.
- 采用离散傅立叶变换(DFT)等信号处理技术.
- 使用逻辑回归和其他机器学习技术.
Data Scientist
Nucleics
- 在C/ c++中改进和开发生产就绪的软件.
- 研究基因组学和DNA测序领域的前沿思想.
- Implemented and tested several complex ideas, 包括深度卷积神经网络的训练和测试.
Computer Vision Engineer
Sentice Tech
- Worked on anomaly detection in images.
- Used OpenCV.
Signal Processing Consultant
ECGalert
- 实现了心电信号的处理和去噪.
- Implemented a pipelined discrete wavelet transform (DWT).
- 研究了几种FIR和IIR滤波器在心电信号表示中的应用.
Machine Learning Research Scientist
NAGI
- 致力于研究和开发最先进的情感识别算法.
- 参加第五届国际视听情感挑战及工作坊.
- Led the development of a people tracking solution through wifi. Implemented the model using Apache Spark.
Junior Teaching and Research Assistant
Faculty of Electrical Engineering and Information Technologies
- 为数字信号处理领域的几门课程进行听觉和实验练习.
- Worked on power quality assessment. 使用机器学习技术检测和分类干扰.
- 积极参与研究项目《欧博体育app下载》, ERA.NET PLUS project."
- Utilized OpenCV to implement face detection using SVM.
Junior Researcher
Dip team
- 从事JPEG编码图像中环形伪影强度的检测和量化工作.
- Developed a robust multi-frame super-resolution algorithm.
- 了解了机器学习和解逆问题的基本思想.
Experience
结合正则化线性回归和增强回归树的多模态情感分析
心电信号滤波的改进流水线小波实现
http://www.sciencedirect.com/science/article/abs/pii/S0167865517302118基于机器学习的超分辨率配准误差鲁棒算法
http://ieeexplore.ieee.org/abstract/document/5739234适用于人脸去识别问题的通用人脸检测和姿态估计算法
Skills
Paradigms
Data Science
Other
Machine Learning, Digital Signal Processing, Big Data, Deep Learning, Amazon Kinesis Data Firehose, Audio Single Proccessing, DNA Sequencing, Computer Vision, Emotion Recognition, Signal Processing, Electronics, Audio Processing
Languages
C++, C, Python, R
Tools
MATLAB, AWS Glue, Amazon SageMaker
Storage
Google Cloud
Frameworks
Spark
Libraries/APIs
TensorFlow, Keras, Amazon Rekognition, OpenCV
Platforms
Linux, Amazon Web Services (AWS)
Industry Expertise
Bioinformatics
Education
Progress towards a Ph.D. in Machine Learning
马其顿斯科普里电子工程和信息技术学院
Master's Degree in Signal Processing
马其顿斯科普里电子工程和信息技术学院
Bachelor's Degree in Electronics and Signal Processing
马其顿斯科普里电子工程和信息技术学院
Certifications
AWS Certified Data Analytics - Speciality (prev. Big Data)
AWS
AWS Machine Learning - Speciality
AWS
Google Cloud Certified Professional Data Engineer
Google Cloud
谷歌云平台的数据工程、大数据和机器学习
Coursera (GCP)
Machine Learning with TensorFlow on Google Cloud Platform
Coursera (GCP)
Deep Learning
Coursera (deeplearning.ai)